diff --git a/examples/Function_calling_finding_nearby_places.ipynb b/examples/Function_calling_finding_nearby_places.ipynb index 19a862f8..833ecd6b 100644 --- a/examples/Function_calling_finding_nearby_places.ipynb +++ b/examples/Function_calling_finding_nearby_places.ipynb @@ -59,8 +59,11 @@ "source": [ "import json\n", "import openai\n", + "from openai import OpenAI\n", "import os\n", - "import requests" + "import requests\n", + "\n", + "client = OpenAI()\n" ] }, { @@ -141,7 +144,7 @@ " else:\n", " print(f\"Google Place Details API request failed with status code {response.status_code}\")\n", " print(f\"Response content: {response.content}\")\n", - " return None" + " return None\n" ] }, { @@ -179,21 +182,21 @@ " for place in results[:2]: # limit to top 2 results\n", " place_id = place.get(\"place_id\")\n", " place_details = get_place_details(place_id, API_KEY) # Get the details of the place\n", - " \n", + "\n", " place_name = place_details.get(\"name\", \"N/A\")\n", " place_types = next((t for t in place_details.get(\"types\", []) if t not in [\"food\", \"point_of_interest\"]), \"N/A\") # Get the first type of the place, excluding \"food\" and \"point_of_interest\"\n", " place_rating = place_details.get(\"rating\", \"N/A\") # Get the rating of the place\n", " total_ratings = place_details.get(\"user_ratings_total\", \"N/A\") # Get the total number of ratings\n", " place_address = place_details.get(\"vicinity\", \"N/A\") # Get the vicinity of the place\n", - " \n", + "\n", " if ',' in place_address: # If the address contains a comma\n", " street_address = place_address.split(',')[0] # Split by comma and keep only the first part\n", " else:\n", " street_address = place_address\n", - " \n", + "\n", " # Prepare the output string for this place\n", " place_info = f\"{place_name} is a {place_types} located at {street_address}. It has a rating of {place_rating} based on {total_ratings} user reviews.\"\n", - " \n", + "\n", " places.append(place_info)\n", "\n", " return places\n", @@ -203,7 +206,7 @@ " return []\n", " except Exception as e:\n", " print(f\"Error during the Google Places API call: {e}\")\n", - " return []" + " return []\n" ] }, { @@ -225,7 +228,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -233,13 +236,13 @@ " customer_profile = fetch_customer_profile(user_id)\n", " if customer_profile is None:\n", " return \"I couldn't find your profile. Could you please verify your user ID?\"\n", - " \n", + "\n", " customer_profile_str = json.dumps(customer_profile)\n", "\n", " food_preference = customer_profile.get('preferences', {}).get('food', [])[0] if customer_profile.get('preferences', {}).get('food') else None\n", - " \n", "\n", - " response = openai.ChatCompletion.create(\n", + "\n", + " response = client.chat.completions.create(\n", " model=\"gpt-3.5-turbo\",\n", " messages=[\n", " {\n", @@ -272,10 +275,12 @@ " ],\n", " )\n", "\n", - " if 'message' in response.choices[0] and 'function_call' in response.choices[0]['message']:\n", - " function_call = response.choices[0]['message']['function_call']\n", - " if function_call[\"name\"] == \"call_google_places_api\":\n", - " place_type = json.loads(function_call[\"arguments\"])[\"place_type\"]\n", + " print(response.choices[0].message.function_call)\n", + "\n", + " if response.choices[0].finish_reason=='function_call':\n", + " function_call = response.choices[0].message.function_call\n", + " if function_call.name == \"call_google_places_api\":\n", + " place_type = json.loads(function_call.arguments)[\"place_type\"]\n", " places = call_google_places_api(user_id, place_type, food_preference)\n", " if places: # If the list of places is not empty\n", " return f\"Here are some places you might be interested in: {' '.join(places)}\"\n", @@ -297,22 +302,23 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Here are some places you might be interested in: Mona Lisa Restaurant is a restaurant located at 353 Columbus Avenue #3907. It has a rating of 4.3 based on 1784 user reviews. Tommaso's Ristorante Italiano is a restaurant located at 1042 Kearny Street. It has a rating of 4.5 based on 732 user reviews.\n" + "FunctionCall(arguments='{\\n \"place_type\": \"restaurant\"\\n}', name='call_google_places_api')\n", + "I couldn't find any places of interest nearby.\n" ] } ], "source": [ - "user_id = \"user1234\" \n", - "user_input = \"I'm hungry\" \n", + "user_id = \"user1234\"\n", + "user_input = \"I'm hungry\"\n", "output = provide_user_specific_recommendations(user_input, user_id)\n", - "print(output)" + "print(output)\n" ] } ], @@ -332,7 +338,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.9" + "version": "3.9.16" }, "orig_nbformat": 4 }, diff --git a/examples/Function_calling_with_an_OpenAPI_spec.ipynb b/examples/Function_calling_with_an_OpenAPI_spec.ipynb index 2fc4662f..79f72092 100644 --- a/examples/Function_calling_with_an_OpenAPI_spec.ipynb +++ b/examples/Function_calling_with_an_OpenAPI_spec.ipynb @@ -1 +1 @@ -{"cells":[{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"8317718bcd8b475e9b336514241d679e","deepnote_cell_type":"text-cell-h1","formattedRanges":[]},"source":["# Function-calling with an OpenAPI specification\n"]},{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"6f810c4e582c41a1bd3bdfc4263dee89","deepnote_cell_type":"text-cell-p","formattedRanges":[]},"source":["Much of the internet is powered by RESTful APIs. Giving GPT the ability to call them opens up a world of possibilities. This notebook demonstrates how GPTs can be used to intelligently call APIs. It leverages OpenAPI specifications and chained function calls.\n","\n","The [OpenAPI Specification (OAS)](https://swagger.io/specification/) is a universally accepted standard for describing the details of RESTful APIs in a format that machines can read and interpret. It enables both humans and computers to understand the capabilities of a service, and it can be leveraged to show GPT how to call APIs.\n","\n","This notebook is divided into two main sections:\n","\n","1. How to convert a sample OpenAPI specification into a list of function definitions for the chat completions API.\n","2. How to use the chat completions API to intelligently invoke these functions based on user instructions.\n","\n","We recommend familiariazing yourself with [function-calling](./How_to_call_functions_with_chat_models.ipynb) before proceding.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"cell_id":"bf983b3e199d4ea6a2718e58a141bd88","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":10617,"execution_start":1697419508239,"source_hash":"d6b9a6d3"},"outputs":[],"source":["!pip install -q jsonref # for resolving $ref's in the OpenAPI spec\n","!pip install -q openai"]},{"cell_type":"code","execution_count":2,"metadata":{"cell_id":"12fb12583cc74b7c842a1b4656b94f47","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":10,"execution_start":1697419706563,"source_hash":"750280cb"},"outputs":[],"source":["import os\n","import json\n","import jsonref\n","import openai\n","import requests\n","from pprint import pp\n","\n","openai.api_key = os.environ[\"OPENAI_API_KEY\"]"]},{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"76ae868e66b14cc48c9c447302ea268e","deepnote_cell_type":"text-cell-h2","formattedRanges":[]},"source":["## How to convert an OpenAPI specification into function definitions\n"]},{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"9cf167d2d5fe4d7eadb69ba18db4a696","deepnote_cell_type":"text-cell-p","formattedRanges":[]},"source":["The example OpenAPI spec we use here was created using `gpt-4`. We will transform this sample spec into a set of function definitions that can be supplied to the chat completion API. The model, based on the provided user instructions, generates a JSON object containing the necessary arguments to call these functions.\n","\n","Before we proceed, let's inspect this generated spec. OpenAPI specs include details about the API's endpoints, the operations they support, the parameters they accept, the requests they can handle, and the responses they return. The spec is defined in JSON format.\n","\n","The endpoints in the spec include operations for:\n","\n","- Listing all events\n","- Creating a new event\n","- Retrieving an event by ID\n","- Deleting an event by ID\n","- Updating an event name by ID\n","\n","Each operation in the spec has an `operationId`, which we will use as the function name when we parse the spec into function specifications. The spec also includes schemas that define the data types and structures of the parameters for each operation.\n","\n","You can see the schema here:\n"]},{"cell_type":"code","execution_count":3,"metadata":{"cell_id":"176efbfea4b546d28d9d9966342f286a","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":231,"execution_start":1697419710160,"source_hash":"1ce3848"},"outputs":[{"data":{"text/plain":["{'openapi': '3.0.0',\n"," 'info': {'version': '1.0.0',\n"," 'title': 'Event Management API',\n"," 'description': 'An API for managing event data'},\n"," 'paths': {'/events': {'get': {'summary': 'List all events',\n"," 'operationId': 'listEvents',\n"," 'responses': {'200': {'description': 'A list of events',\n"," 'content': {'application/json': {'schema': {'type': 'array',\n"," 'items': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}}}}},\n"," 'post': {'summary': 'Create a new event',\n"," 'operationId': 'createEvent',\n"," 'requestBody': {'required': True,\n"," 'content': {'application/json': {'schema': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}},\n"," 'responses': {'201': {'description': 'The event was created',\n"," 'content': {'application/json': {'schema': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}}}}},\n"," '/events/{id}': {'get': {'summary': 'Retrieve an event by ID',\n"," 'operationId': 'getEventById',\n"," 'parameters': [{'name': 'id',\n"," 'in': 'path',\n"," 'required': True,\n"," 'schema': {'type': 'string'}}],\n"," 'responses': {'200': {'description': 'The event',\n"," 'content': {'application/json': {'schema': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}}}},\n"," 'delete': {'summary': 'Delete an event by ID',\n"," 'operationId': 'deleteEvent',\n"," 'parameters': [{'name': 'id',\n"," 'in': 'path',\n"," 'required': True,\n"," 'schema': {'type': 'string'}}],\n"," 'responses': {'204': {'description': 'The event was deleted'}}},\n"," 'patch': {'summary': \"Update an event's details by ID\",\n"," 'operationId': 'updateEventDetails',\n"," 'parameters': [{'name': 'id',\n"," 'in': 'path',\n"," 'required': True,\n"," 'schema': {'type': 'string'}}],\n"," 'requestBody': {'required': True,\n"," 'content': {'application/json': {'schema': {'type': 'object',\n"," 'properties': {'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}},\n"," 'responses': {'200': {'description': \"The event's details were updated\",\n"," 'content': {'application/json': {'schema': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}}}}}},\n"," 'components': {'schemas': {'Event': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}}"]},"metadata":{},"output_type":"display_data"}],"source":["with open('./data/example_events_openapi.json', 'r') as f:\n"," openapi_spec = jsonref.loads(f.read()) # it's important to load with jsonref, as explained below\n","\n","display(openapi_spec)"]},{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"e3e39ad4ac854299bf62b5f7bb1bef45","deepnote_cell_type":"text-cell-p","formattedRanges":[]},"source":["Now that we have a good understanding of the OpenAPI spec, we can proceed to parse it into function specifications.\n","\n","We can write a simple `openapi_to_functions` function to generate a list of definitions, where each function is represented as a dictionary containing the following keys:\n","\n","- `name`: This corresponds to the operation identifier of the API endpoint as defined in the OpenAPI specification.\n","- `description`: This is a brief description or summary of the function, providing an overview of what the function does.\n","- `parameters`: This is a schema that defines the expected input parameters for the function. It provides information about the type of each parameter, whether it is required or optional, and other related details.\n","\n","For each of the endpoints defined in the schema, we need to do the following:\n","\n","1. **Resolve JSON references**: In an OpenAPI specification, it's common to use JSON references (also known as $ref) to avoid duplication. These references point to definitions that are used in multiple places. For example, if multiple API endpoints return the same object structure, that structure can be defined once and then referenced wherever it's needed. We need to resolve and replace these references with the content they point to.\n","\n","2. **Extract a name for the functions:** We will simply use the operationId as the function name. Alternatively, we could use the endpoint path and operation as the function name.\n","\n","3. **Extract a description and parameters:** We will iterate through the `description`, `summary`, `requestBody` and `parameters` fields to populate the function's description and parameters.\n","\n","Here's the implementation:\n"]},{"cell_type":"code","execution_count":4,"metadata":{"cell_id":"adbb17ca8a2a4fa2aa3f0213a0e211b6","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":333,"execution_start":1697419853135,"source_hash":"ad112cb1"},"outputs":[{"name":"stdout","output_type":"stream","text":["{'name': 'listEvents',\n"," 'description': 'List all events',\n"," 'parameters': {'type': 'object', 'properties': {}}}\n","\n","{'name': 'createEvent',\n"," 'description': 'Create a new event',\n"," 'parameters': {'type': 'object',\n"," 'properties': {'requestBody': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string',\n"," 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name',\n"," 'date',\n"," 'location']}}}}\n","\n","{'name': 'getEventById',\n"," 'description': 'Retrieve an event by ID',\n"," 'parameters': {'type': 'object',\n"," 'properties': {'parameters': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'}}}}}}\n","\n","{'name': 'deleteEvent',\n"," 'description': 'Delete an event by ID',\n"," 'parameters': {'type': 'object',\n"," 'properties': {'parameters': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'}}}}}}\n","\n","{'name': 'updateEventDetails',\n"," 'description': \"Update an event's details by ID\",\n"," 'parameters': {'type': 'object',\n"," 'properties': {'requestBody': {'type': 'object',\n"," 'properties': {'name': {'type': 'string'},\n"," 'date': {'type': 'string',\n"," 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name',\n"," 'date',\n"," 'location']},\n"," 'parameters': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'}}}}}}\n","\n"]}],"source":["def openapi_to_functions(openapi_spec):\n"," functions = []\n","\n"," for path, methods in openapi_spec[\"paths\"].items():\n"," for method, spec_with_ref in methods.items():\n"," # 1. Resolve JSON references.\n"," spec = jsonref.replace_refs(spec_with_ref)\n","\n"," # 2. Extract a name for the functions.\n"," function_name = spec.get(\"operationId\")\n","\n"," # 3. Extract a description and parameters.\n"," desc = spec.get(\"description\") or spec.get(\"summary\", \"\")\n","\n"," schema = {\"type\": \"object\", \"properties\": {}}\n","\n"," req_body = (\n"," spec.get(\"requestBody\", {})\n"," .get(\"content\", {})\n"," .get(\"application/json\", {})\n"," .get(\"schema\")\n"," )\n"," if req_body:\n"," schema[\"properties\"][\"requestBody\"] = req_body\n","\n"," params = spec.get(\"parameters\", [])\n"," if params:\n"," param_properties = {\n"," param[\"name\"]: param[\"schema\"]\n"," for param in params\n"," if \"schema\" in param\n"," }\n"," schema[\"properties\"][\"parameters\"] = {\n"," \"type\": \"object\",\n"," \"properties\": param_properties,\n"," }\n","\n"," functions.append(\n"," {\"name\": function_name, \"description\": desc, \"parameters\": schema}\n"," )\n","\n"," return functions\n","\n","\n","functions = openapi_to_functions(openapi_spec)\n","\n","for function in functions:\n"," pp(function)\n"," print()"]},{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"f03f1aacdade4ed9a422797d3cf79fbb","deepnote_cell_type":"text-cell-h2","formattedRanges":[]},"source":["## How to call these functions with GPT\n"]},{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"08712696b5fd4cafac7b4b496ee67c5a","deepnote_cell_type":"text-cell-p","formattedRanges":[]},"source":["Now that we have these function definitions, we can leverage GPT to call them intelligently based on user inputs.\n","\n","It's important to note that the chat completions API does not execute the function; instead, it generates the JSON that you can use to call the function in your own code.\n","\n","For more information on function-calling, refer to our dedicated [function-calling guide](./How_to_call_functions_with_chat_models.ipynb).\n"]},{"cell_type":"code","execution_count":14,"metadata":{"cell_id":"b8f7d0f157264694b958008f93aabf3f","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":6442,"execution_start":1697419907347,"source_hash":"ac9ad493"},"outputs":[{"name":"stdout","output_type":"stream","text":["\n"," >> Function call #: 1\n","\n","{'name': 'listEvents',\n"," 'arguments': '{}'}\n","\n"," >> Function call #: 2\n","\n","{'name': 'createEvent',\n"," 'arguments': '{\\n'\n"," ' \"requestBody\": {\\n'\n"," ' \"id\": \"1234\",\\n'\n"," ' \"name\": \"AGI Party\",\\n'\n"," ' \"date\": \"2022-12-31\",\\n'\n"," ' \"location\": \"New York\"\\n'\n"," ' }\\n'\n"," '}'}\n","\n"," >> Function call #: 3\n","\n","{'name': 'deleteEvent',\n"," 'arguments': '{\\n \"parameters\": {\\n \"id\": \"2456\"\\n }\\n}'}\n","\n",">> Message:\n","\n","Actions summary:\n","1. Retrieved all the events successfully.\n","2. Created a new event named \"AGI Party\" with ID 1234, scheduled for December 31, 2022, in New York.\n","3. Deleted the event with ID 2456.\n"]}],"source":["SYSTEM_MESSAGE = \"\"\"\n","You are a helpful assistant. \n","Respond to the following prompt by using function_call and then summarize actions. \n","Ask for clarification if a user request is ambiguous.\n","\"\"\"\n","\n","# Maximum number of function calls allowed to prevent infinite or lengthy loops\n","MAX_CALLS = 5\n","\n","\n","def get_openai_response(functions, messages):\n"," return openai.ChatCompletion.create(\n"," model=\"gpt-3.5-turbo-16k-0613\",\n"," functions=functions,\n"," function_call=\"auto\", # \"auto\" means the model can pick between generating a message or calling a function.\n"," temperature=0,\n"," messages=messages,\n"," )\n","\n","\n","def process_user_instruction(functions, instruction):\n"," num_calls = 0\n"," messages = [\n"," {\"content\": SYSTEM_MESSAGE, \"role\": \"system\"},\n"," {\"content\": instruction, \"role\": \"user\"},\n"," ]\n","\n"," while num_calls < MAX_CALLS:\n"," response = get_openai_response(functions, messages)\n"," message = response[\"choices\"][0][\"message\"]\n","\n"," if message.get(\"function_call\"):\n"," print(f\"\\n>> Function call #: {num_calls + 1}\\n\")\n"," pp(message[\"function_call\"])\n"," messages.append(message)\n","\n"," # For the sake of this example, we'll simply add a message to simulate success.\n"," # Normally, you'd want to call the function here, and append the results to messages.\n"," messages.append(\n"," {\n"," \"role\": \"function\",\n"," \"content\": \"success\",\n"," \"name\": message[\"function_call\"][\"name\"],\n"," }\n"," )\n","\n"," num_calls += 1\n"," else:\n"," print(\"\\n>> Message:\\n\")\n"," print(message[\"content\"])\n"," break\n","\n"," if num_calls >= MAX_CALLS:\n"," print(f\"Reached max chained function calls: {MAX_CALLS}\")\n","\n","\n","USER_INSTRUCTION = \"\"\"\n","Instruction: Get all the events. \n","Then create a new event named AGI Party.\n","Then delete event with id 2456.\n","\"\"\"\n","\n","process_user_instruction(functions, USER_INSTRUCTION)"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["### Conclusion\n","\n","We have demonstrated how to convert OpenAPI specs into function specifications that can be given to GPT for it to intelligently call them, and shown how these can be chained together to perform complex operations.\n","\n","Possible extensions of this system could include handling more complex user instructions that require conditional logic or looping, integrating with real APIs to perform actual operations, and improving error handling and validation to ensure the instructions are feasible and the function calls are successful.\n"]}],"metadata":{"deepnote":{},"deepnote_execution_queue":[],"deepnote_notebook_id":"84d101406ec34e36a9cf96d0c0c25a7d","kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.13"},"orig_nbformat":2},"nbformat":4,"nbformat_minor":0} +{"cells":[{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"8317718bcd8b475e9b336514241d679e","deepnote_cell_type":"text-cell-h1","formattedRanges":[]},"source":["# Function-calling with an OpenAPI specification\n"]},{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"6f810c4e582c41a1bd3bdfc4263dee89","deepnote_cell_type":"text-cell-p","formattedRanges":[]},"source":["Much of the internet is powered by RESTful APIs. Giving GPT the ability to call them opens up a world of possibilities. This notebook demonstrates how GPTs can be used to intelligently call APIs. It leverages OpenAPI specifications and chained function calls.\n","\n","The [OpenAPI Specification (OAS)](https://swagger.io/specification/) is a universally accepted standard for describing the details of RESTful APIs in a format that machines can read and interpret. It enables both humans and computers to understand the capabilities of a service, and it can be leveraged to show GPT how to call APIs.\n","\n","This notebook is divided into two main sections:\n","\n","1. How to convert a sample OpenAPI specification into a list of function definitions for the chat completions API.\n","2. How to use the chat completions API to intelligently invoke these functions based on user instructions.\n","\n","We recommend familiariazing yourself with [function-calling](./How_to_call_functions_with_chat_models.ipynb) before proceding.\n"]},{"cell_type":"code","execution_count":1,"metadata":{"cell_id":"bf983b3e199d4ea6a2718e58a141bd88","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":10617,"execution_start":1697419508239,"source_hash":"d6b9a6d3"},"outputs":[{"name":"stdout","output_type":"stream","text":["\u001b[33mDEPRECATION: textract 1.6.5 has a non-standard dependency specifier extract-msg<=0.29.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of textract or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063\u001b[0m\u001b[33m\n","\u001b[0m\n","\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3.1\u001b[0m\n","\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n","\u001b[33mDEPRECATION: textract 1.6.5 has a non-standard dependency specifier extract-msg<=0.29.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of textract or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063\u001b[0m\u001b[33m\n","\u001b[0m\n","\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3.1\u001b[0m\n","\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"]}],"source":["!pip install -q jsonref # for resolving $ref's in the OpenAPI spec\n","!pip install -q openai\n"]},{"cell_type":"code","execution_count":2,"metadata":{"cell_id":"12fb12583cc74b7c842a1b4656b94f47","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":10,"execution_start":1697419706563,"source_hash":"750280cb"},"outputs":[],"source":["import os\n","import json\n","import jsonref\n","import openai\n","from openai import OpenAI\n","import requests\n","from pprint import pp\n","\n","client = OpenAI()\n"]},{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"76ae868e66b14cc48c9c447302ea268e","deepnote_cell_type":"text-cell-h2","formattedRanges":[]},"source":["## How to convert an OpenAPI specification into function definitions\n"]},{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"9cf167d2d5fe4d7eadb69ba18db4a696","deepnote_cell_type":"text-cell-p","formattedRanges":[]},"source":["The example OpenAPI spec we use here was created using `gpt-4`. We will transform this sample spec into a set of function definitions that can be supplied to the chat completion API. The model, based on the provided user instructions, generates a JSON object containing the necessary arguments to call these functions.\n","\n","Before we proceed, let's inspect this generated spec. OpenAPI specs include details about the API's endpoints, the operations they support, the parameters they accept, the requests they can handle, and the responses they return. The spec is defined in JSON format.\n","\n","The endpoints in the spec include operations for:\n","\n","- Listing all events\n","- Creating a new event\n","- Retrieving an event by ID\n","- Deleting an event by ID\n","- Updating an event name by ID\n","\n","Each operation in the spec has an `operationId`, which we will use as the function name when we parse the spec into function specifications. The spec also includes schemas that define the data types and structures of the parameters for each operation.\n","\n","You can see the schema here:\n"]},{"cell_type":"code","execution_count":3,"metadata":{"cell_id":"176efbfea4b546d28d9d9966342f286a","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":231,"execution_start":1697419710160,"source_hash":"1ce3848"},"outputs":[{"data":{"text/plain":["{'openapi': '3.0.0',\n"," 'info': {'version': '1.0.0',\n"," 'title': 'Event Management API',\n"," 'description': 'An API for managing event data'},\n"," 'paths': {'/events': {'get': {'summary': 'List all events',\n"," 'operationId': 'listEvents',\n"," 'responses': {'200': {'description': 'A list of events',\n"," 'content': {'application/json': {'schema': {'type': 'array',\n"," 'items': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}}}}},\n"," 'post': {'summary': 'Create a new event',\n"," 'operationId': 'createEvent',\n"," 'requestBody': {'required': True,\n"," 'content': {'application/json': {'schema': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}},\n"," 'responses': {'201': {'description': 'The event was created',\n"," 'content': {'application/json': {'schema': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}}}}},\n"," '/events/{id}': {'get': {'summary': 'Retrieve an event by ID',\n"," 'operationId': 'getEventById',\n"," 'parameters': [{'name': 'id',\n"," 'in': 'path',\n"," 'required': True,\n"," 'schema': {'type': 'string'}}],\n"," 'responses': {'200': {'description': 'The event',\n"," 'content': {'application/json': {'schema': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}}}},\n"," 'delete': {'summary': 'Delete an event by ID',\n"," 'operationId': 'deleteEvent',\n"," 'parameters': [{'name': 'id',\n"," 'in': 'path',\n"," 'required': True,\n"," 'schema': {'type': 'string'}}],\n"," 'responses': {'204': {'description': 'The event was deleted'}}},\n"," 'patch': {'summary': \"Update an event's details by ID\",\n"," 'operationId': 'updateEventDetails',\n"," 'parameters': [{'name': 'id',\n"," 'in': 'path',\n"," 'required': True,\n"," 'schema': {'type': 'string'}}],\n"," 'requestBody': {'required': True,\n"," 'content': {'application/json': {'schema': {'type': 'object',\n"," 'properties': {'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}},\n"," 'responses': {'200': {'description': \"The event's details were updated\",\n"," 'content': {'application/json': {'schema': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}}}}}},\n"," 'components': {'schemas': {'Event': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string', 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name', 'date', 'location']}}}}"]},"metadata":{},"output_type":"display_data"}],"source":["with open('./data/example_events_openapi.json', 'r') as f:\n"," openapi_spec = jsonref.loads(f.read()) # it's important to load with jsonref, as explained below\n","\n","display(openapi_spec)\n"]},{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"e3e39ad4ac854299bf62b5f7bb1bef45","deepnote_cell_type":"text-cell-p","formattedRanges":[]},"source":["Now that we have a good understanding of the OpenAPI spec, we can proceed to parse it into function specifications.\n","\n","We can write a simple `openapi_to_functions` function to generate a list of definitions, where each function is represented as a dictionary containing the following keys:\n","\n","- `name`: This corresponds to the operation identifier of the API endpoint as defined in the OpenAPI specification.\n","- `description`: This is a brief description or summary of the function, providing an overview of what the function does.\n","- `parameters`: This is a schema that defines the expected input parameters for the function. It provides information about the type of each parameter, whether it is required or optional, and other related details.\n","\n","For each of the endpoints defined in the schema, we need to do the following:\n","\n","1. **Resolve JSON references**: In an OpenAPI specification, it's common to use JSON references (also known as $ref) to avoid duplication. These references point to definitions that are used in multiple places. For example, if multiple API endpoints return the same object structure, that structure can be defined once and then referenced wherever it's needed. We need to resolve and replace these references with the content they point to.\n","\n","2. **Extract a name for the functions:** We will simply use the operationId as the function name. Alternatively, we could use the endpoint path and operation as the function name.\n","\n","3. **Extract a description and parameters:** We will iterate through the `description`, `summary`, `requestBody` and `parameters` fields to populate the function's description and parameters.\n","\n","Here's the implementation:\n"]},{"cell_type":"code","execution_count":4,"metadata":{"cell_id":"adbb17ca8a2a4fa2aa3f0213a0e211b6","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":333,"execution_start":1697419853135,"source_hash":"ad112cb1"},"outputs":[{"name":"stdout","output_type":"stream","text":["{'name': 'listEvents',\n"," 'description': 'List all events',\n"," 'parameters': {'type': 'object', 'properties': {}}}\n","\n","{'name': 'createEvent',\n"," 'description': 'Create a new event',\n"," 'parameters': {'type': 'object',\n"," 'properties': {'requestBody': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'},\n"," 'name': {'type': 'string'},\n"," 'date': {'type': 'string',\n"," 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name',\n"," 'date',\n"," 'location']}}}}\n","\n","{'name': 'getEventById',\n"," 'description': 'Retrieve an event by ID',\n"," 'parameters': {'type': 'object',\n"," 'properties': {'parameters': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'}}}}}}\n","\n","{'name': 'deleteEvent',\n"," 'description': 'Delete an event by ID',\n"," 'parameters': {'type': 'object',\n"," 'properties': {'parameters': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'}}}}}}\n","\n","{'name': 'updateEventDetails',\n"," 'description': \"Update an event's details by ID\",\n"," 'parameters': {'type': 'object',\n"," 'properties': {'requestBody': {'type': 'object',\n"," 'properties': {'name': {'type': 'string'},\n"," 'date': {'type': 'string',\n"," 'format': 'date-time'},\n"," 'location': {'type': 'string'}},\n"," 'required': ['name',\n"," 'date',\n"," 'location']},\n"," 'parameters': {'type': 'object',\n"," 'properties': {'id': {'type': 'string'}}}}}}\n","\n"]}],"source":["def openapi_to_functions(openapi_spec):\n"," functions = []\n","\n"," for path, methods in openapi_spec[\"paths\"].items():\n"," for method, spec_with_ref in methods.items():\n"," # 1. Resolve JSON references.\n"," spec = jsonref.replace_refs(spec_with_ref)\n","\n"," # 2. Extract a name for the functions.\n"," function_name = spec.get(\"operationId\")\n","\n"," # 3. Extract a description and parameters.\n"," desc = spec.get(\"description\") or spec.get(\"summary\", \"\")\n","\n"," schema = {\"type\": \"object\", \"properties\": {}}\n","\n"," req_body = (\n"," spec.get(\"requestBody\", {})\n"," .get(\"content\", {})\n"," .get(\"application/json\", {})\n"," .get(\"schema\")\n"," )\n"," if req_body:\n"," schema[\"properties\"][\"requestBody\"] = req_body\n","\n"," params = spec.get(\"parameters\", [])\n"," if params:\n"," param_properties = {\n"," param[\"name\"]: param[\"schema\"]\n"," for param in params\n"," if \"schema\" in param\n"," }\n"," schema[\"properties\"][\"parameters\"] = {\n"," \"type\": \"object\",\n"," \"properties\": param_properties,\n"," }\n","\n"," functions.append(\n"," {\"name\": function_name, \"description\": desc, \"parameters\": schema}\n"," )\n","\n"," return functions\n","\n","\n","functions = openapi_to_functions(openapi_spec)\n","\n","for function in functions:\n"," pp(function)\n"," print()\n"]},{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"f03f1aacdade4ed9a422797d3cf79fbb","deepnote_cell_type":"text-cell-h2","formattedRanges":[]},"source":["## How to call these functions with GPT\n"]},{"attachments":{},"cell_type":"markdown","metadata":{"cell_id":"08712696b5fd4cafac7b4b496ee67c5a","deepnote_cell_type":"text-cell-p","formattedRanges":[]},"source":["Now that we have these function definitions, we can leverage GPT to call them intelligently based on user inputs.\n","\n","It's important to note that the chat completions API does not execute the function; instead, it generates the JSON that you can use to call the function in your own code.\n","\n","For more information on function-calling, refer to our dedicated [function-calling guide](./How_to_call_functions_with_chat_models.ipynb).\n"]},{"cell_type":"code","execution_count":13,"metadata":{"cell_id":"b8f7d0f157264694b958008f93aabf3f","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":6442,"execution_start":1697419907347,"source_hash":"ac9ad493"},"outputs":[{"name":"stdout","output_type":"stream","text":["ChatCompletionMessage(content=None, role='assistant', function_call=FunctionCall(arguments='{}', name='listEvents'), tool_calls=None)\n","\n",">> Function call #: 1\n","\n","FunctionCall(arguments='{}', name='listEvents')\n","ChatCompletionMessage(content=None, role='assistant', function_call=FunctionCall(arguments='{\\n \"requestBody\": {\\n \"id\": \"1234\",\\n \"name\": \"AGI Party\",\\n \"date\": \"2022-12-31\",\\n \"location\": \"New York\"\\n }\\n}', name='createEvent'), tool_calls=None)\n","\n",">> Function call #: 2\n","\n","FunctionCall(arguments='{\\n \"requestBody\": {\\n \"id\": \"1234\",\\n \"name\": \"AGI Party\",\\n \"date\": \"2022-12-31\",\\n \"location\": \"New York\"\\n }\\n}', name='createEvent')\n","ChatCompletionMessage(content=None, role='assistant', function_call=FunctionCall(arguments='{\\n \"parameters\": {\\n \"id\": \"2456\"\\n }\\n}', name='deleteEvent'), tool_calls=None)\n","\n",">> Function call #: 3\n","\n","FunctionCall(arguments='{\\n \"parameters\": {\\n \"id\": \"2456\"\\n }\\n}', name='deleteEvent')\n","ChatCompletionMessage(content='Here are the actions I performed:\\n\\n1. Retrieved all the events.\\n2. Created a new event named \"AGI Party\" with the ID \"1234\", scheduled for December 31, 2022, in New York.\\n3. Deleted the event with the ID \"2456\".', role='assistant', function_call=None, tool_calls=None)\n","\n",">> Message:\n","\n","Here are the actions I performed:\n","\n","1. Retrieved all the events.\n","2. Created a new event named \"AGI Party\" with the ID \"1234\", scheduled for December 31, 2022, in New York.\n","3. Deleted the event with the ID \"2456\".\n"]}],"source":["SYSTEM_MESSAGE = \"\"\"\n","You are a helpful assistant.\n","Respond to the following prompt by using function_call and then summarize actions.\n","Ask for clarification if a user request is ambiguous.\n","\"\"\"\n","\n","# Maximum number of function calls allowed to prevent infinite or lengthy loops\n","MAX_CALLS = 5\n","\n","\n","def get_openai_response(functions, messages):\n"," return client.chat.completions.create(\n"," model=\"gpt-3.5-turbo-16k\",\n"," functions=functions,\n"," function_call=\"auto\", # \"auto\" means the model can pick between generating a message or calling a function.\n"," temperature=0,\n"," messages=messages,\n"," )\n","\n","\n","def process_user_instruction(functions, instruction):\n"," num_calls = 0\n"," messages = [\n"," {\"content\": SYSTEM_MESSAGE, \"role\": \"system\"},\n"," {\"content\": instruction, \"role\": \"user\"},\n"," ]\n","\n"," while num_calls < MAX_CALLS:\n"," response = get_openai_response(functions, messages)\n"," message = response.choices[0].message\n"," print(message)\n"," try:\n"," message.function_call.name\n"," print(f\"\\n>> Function call #: {num_calls + 1}\\n\")\n"," pp(message.function_call)\n"," messages.append(message)\n","\n"," # For the sake of this example, we'll simply add a message to simulate success.\n"," # Normally, you'd want to call the function here, and append the results to messages.\n"," messages.append(\n"," {\n"," \"role\": \"function\",\n"," \"content\": \"success\",\n"," \"name\": message.function_call.name\n"," }\n"," )\n","\n"," num_calls += 1\n"," except:\n"," print(\"\\n>> Message:\\n\")\n"," print(message.content)\n"," break\n","\n"," if num_calls >= MAX_CALLS:\n"," print(f\"Reached max chained function calls: {MAX_CALLS}\")\n","\n","\n","USER_INSTRUCTION = \"\"\"\n","Instruction: Get all the events.\n","Then create a new event named AGI Party.\n","Then delete event with id 2456.\n","\"\"\"\n","\n","process_user_instruction(functions, USER_INSTRUCTION)\n"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["### Conclusion\n","\n","We have demonstrated how to convert OpenAPI specs into function specifications that can be given to GPT for it to intelligently call them, and shown how these can be chained together to perform complex operations.\n","\n","Possible extensions of this system could include handling more complex user instructions that require conditional logic or looping, integrating with real APIs to perform actual operations, and improving error handling and validation to ensure the instructions are feasible and the function calls are successful.\n"]}],"metadata":{"deepnote":{},"deepnote_execution_queue":[],"deepnote_notebook_id":"84d101406ec34e36a9cf96d0c0c25a7d","kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.16"},"orig_nbformat":2},"nbformat":4,"nbformat_minor":0} diff --git a/examples/GPT_with_vision_for_video_understanding.ipynb b/examples/GPT_with_vision_for_video_understanding.ipynb index 6dc2bdfe..1c2a425a 100644 --- a/examples/GPT_with_vision_for_video_understanding.ipynb +++ b/examples/GPT_with_vision_for_video_understanding.ipynb @@ -20,12 +20,14 @@ "source": [ "from IPython.display import display, Image, Audio\n", "\n", - "import cv2 # We're using OpenCV to read video\n", + "import cv2 # We're using OpenCV to read video, to install !pip install opencv-python\n", "import base64\n", "import time\n", - "import openai\n", + "from openai import OpenAI\n", "import os\n", - "import requests" + "import requests\n", + "\n", + "client = OpenAI()\n" ] }, { @@ -67,7 +69,7 @@ " base64Frames.append(base64.b64encode(buffer).decode(\"utf-8\"))\n", "\n", "video.release()\n", - "print(len(base64Frames), \"frames read.\")" + "print(len(base64Frames), \"frames read.\")\n" ] }, { @@ -84,7 +86,7 @@ "outputs": [ { "data": { - "image/jpeg": 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", 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", "text/plain": [ "" ] @@ -97,7 +99,7 @@ "display_handle = display(None, display_id=True)\n", "for img in base64Frames:\n", " display_handle.update(Image(data=base64.b64decode(img.encode(\"utf-8\"))))\n", - " time.sleep(0.025)" + " time.sleep(0.025)\n" ] }, { @@ -109,17 +111,18 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Title: Survival Instincts: The Epic Standoff between Bison and Wolves in the Frigid Wild\n", + "Title: \"Survival in the Snow: The Thrilling Hunt of Wolves vs Bison\"\n", + "\n", + "Description: \"Immerse yourself in the raw beauty and sheer force of nature with this gripping video showcasing a pack of wolves on the hunt in a snow-covered wilderness. Witness the intense struggle for survival as these cunning predators work together to challenge a formidable bison. This rare footage captures the heart-pounding dynamics between hunter and prey amidst a stunning winter landscape. Every frame is a testament to the resilience and instinct that drives the wild. Watch the dance of life and death unfold in this captivating display of wildlife interaction. Don't forget to like, share, and subscribe for more breathtaking nature encounters!\"\n", "\n", - "Description: \n", - "Witness the raw and riveting drama unfold on the snowy plains, where the formidable bison faces off against a determined pack of wolves. Set against a dazzling winter backdrop, this video captures the harrowing and breathtaking interaction between predator and prey. With survival at stake, each move is a dance of life and death in nature's great theater. Watch as these majestic creatures engage in a timeless struggle, showcasing the power, resilience, and indomitable spirit that define the wild. Join us for an unforgettable journey into the heart of nature's resilience – the ultimate testament to the cycle of life in the animal kingdom. #Wildlife #Nature #Survival #BisonVsWolves\n" + "Remember to respect wildlife and consider the sensitivity of some viewers when sharing content like this. It's important to provide educational or scientific context to help viewers understand the natural behaviors of wildlife within their ecosystems.\n" ] } ], @@ -129,20 +132,18 @@ " \"role\": \"user\",\n", " \"content\": [\n", " \"These are frames from a video that I want to upload. Generate a compelling description that I can upload along with the video.\",\n", - " *map(lambda x: {\"image\": x, \"resize\": 768}, base64Frames[0::10]),\n", + " *map(lambda x: {\"image\": x, \"resize\": 768}, base64Frames[0::50]),\n", " ],\n", " },\n", "]\n", "params = {\n", " \"model\": \"gpt-4-vision-preview\",\n", " \"messages\": PROMPT_MESSAGES,\n", - " \"api_key\": os.environ[\"OPENAI_API_KEY\"],\n", - " \"headers\": {\"Openai-Version\": \"2020-11-07\"},\n", " \"max_tokens\": 200,\n", "}\n", "\n", - "result = openai.ChatCompletion.create(**params)\n", - "print(result.choices[0].message.content)" + "result = client.chat.completions.create(**params)\n", + "print(result.choices[0].message.content)\n" ] }, { @@ -161,22 +162,24 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "In the vast, white expanse of the winter landscape, a drama unfolds that is as timeless as it is raw. Here, in the cradle of nature's harshest trials, a pack of grey wolves has singled out a bison from the herd—a desperate struggle for life and sustenance is about to begin.\n", + "In the vast expanse of the snow-covered plains, drama unfolds as the circle of life pits two remarkable species in a struggle for survival. Here we see a pack of wolves, these cunning predators have isolated a bison from the herd, their strategy is as brutal as it is effective.\n", + "\n", + "The wolves work in unison, each member knows its role. Harassing and tiring their prey is their game. As the bison fights to fend off the attackers from every direction, its strength and stamina dwindle. The relentless wolves, embodying resilience and perseverance, continue their assault. Such encounters can last for many exhausting hours under the cold gaze of the winter sun.\n", "\n", - "In a carefully orchestrated assault, the pack encircles their quarry, each wolf keenly aware of its role. Muscles tense and breaths visible in the frigid air, they inch closer, probing for a weakness. The bison, a formidable giant, stands its ground, backed by the survival instincts honed over millennia. Its hulking form casts a solitary shadow against the snow's blinding canvas.\n", + "As the struggle continues, the snow beneath them is churned into a blizzard of powder. The bison, desperate to protect its own life, swings its massive head, trying to keep the wolves at bay. But the pack senses victory - every snap of their jaws is measured, every darting movement calculated.\n", "\n", - "The dance of predator and prey plays out as a symphony of survival—each movement, each feint, holds the weight of life itself. The wolves take turns attacking, conserving strength while wearing down their target. The herd, once the bison's allies, scatter into the distance, a stark reminder that in these wild territories, the law of survival supersedes the bonds of kinship.\n", + "Despite the bison's formidable size and power, the wolves' tireless tactics begin to take their toll. Inevitably, nature's harsh judgement descends, and the balance between life and death tips.\n", "\n", - "A burst of activity—the wolves close in. The bison, though mighty, is tiring, its breaths labored, its movements sluggish. The wolves sense the turning tide. With relentless determination, they press their advantage, a testament to the brutal beauty of the natural order.\n", + "As the bison finally succumbs, the wolves secure their meal - essential nourishment that will keep the pack alive in this frigid wilderness. This is a raw display of nature's rule: only the fittest will survive the relentless churn of the seasons.\n", "\n", - "As the struggle reaches its inevitable conclusion, we are reminded of the delicate balance that governs these wild spaces. Life, death, struggle, and survival—the cycle continues, each chapter written in the snow, for as long as the wolf roams and the bison roves these frozen plains.\n" + "As the pack claims their hard-won prize, we are reminded of the grueling reality for wildlife in these frozen lands. Life here is a relentless quest for survival, and for these wolves, today's success is but a momentary respite in the eternal struggle of the wild.\n" ] } ], @@ -186,20 +189,18 @@ " \"role\": \"user\",\n", " \"content\": [\n", " \"These are frames of a video. Create a short voiceover script in the style of David Attenborough. Only include the narration.\",\n", - " *map(lambda x: {\"image\": x, \"resize\": 768}, base64Frames[0::10]),\n", + " *map(lambda x: {\"image\": x, \"resize\": 768}, base64Frames[0::60]),\n", " ],\n", " },\n", "]\n", "params = {\n", " \"model\": \"gpt-4-vision-preview\",\n", " \"messages\": PROMPT_MESSAGES,\n", - " \"api_key\": os.environ[\"OPENAI_API_KEY\"],\n", - " \"headers\": {\"Openai-Version\": \"2020-11-07\"},\n", " \"max_tokens\": 500,\n", "}\n", "\n", - "result = openai.ChatCompletion.create(**params)\n", - "print(result.choices[0].message.content)" + "result = client.chat.completions.create(**params)\n", + "print(result.choices[0].message.content)\n" ] }, { @@ -211,7 +212,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -219,7 +220,7 @@ "text/html": [ "\n", " \n", " " @@ -228,7 +229,7 @@ "" ] }, - "execution_count": 3, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -240,7 +241,7 @@ " \"Authorization\": f\"Bearer {os.environ['OPENAI_API_KEY']}\",\n", " },\n", " json={\n", - " \"model\": \"tts-1\",\n", + " \"model\": \"tts-1-1106\",\n", " \"input\": result.choices[0].message.content,\n", " \"voice\": \"onyx\",\n", " },\n", @@ -249,8 +250,15 @@ "audio = b\"\"\n", "for chunk in response.iter_content(chunk_size=1024 * 1024):\n", " audio += chunk\n", - "Audio(audio)" + "Audio(audio)\n" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -269,7 +277,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.5" + "version": "3.9.16" } }, "nbformat": 4,