Merge pull request #561 from ading2210/main

Add DeepAI wrapper
pull/568/head
xtekky 1 year ago committed by GitHub
commit 2e4bce90b2
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@ -102,6 +102,7 @@ Just API's from some language model sites.
| `forefront` | Example usage for forefront (gpt-4) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/forefront/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) | ||
| `quora (poe)` | Example usage for quora | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/quora/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
| `you` | Example usage for you | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/you/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
| `deepai` | Example usage for DeepAI (gpt-3.5, with chat) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/deepai/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
| **Try it Out** | | | |
| Google Colab Jupyter Notebook | Example usage for gpt4free | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DanielShemesh/gpt4free-colab/blob/main/gpt4free.ipynb) | - |
| replit Example (feel free to fork this repl) | Example usage for gpt4free | [![](https://img.shields.io/badge/Open%20in-Replit-1A1E27?logo=replit)](https://replit.com/@gpt4free/gpt4free-webui) | - |
@ -132,6 +133,8 @@ Just API's from some language model sites.
| [bard.google.com](https://bard.google.com) | custom / search |
| [bing.com/chat](https://bing.com/chat) | GPT-4/3.5 |
| [italygpt.it](https://italygpt.it) | GPT-3.5 |
| [deepai.org](https://deepai.org/chat) | GPT-3.5 / chat support |
## Best sites <a name="best-sites"></a>
@ -201,7 +204,7 @@ docker-compose up --build -d
This program is licensed under the [GNU GPL v3](https://www.gnu.org/licenses/gpl-3.0.txt)
Most code, with the exception of `quora/api.py` (by [ading2210](https://github.com/ading2210)), has been written by me, [xtekky](https://github.com/xtekky).
Most code, with the exception of `quora/api.py` and `deepai/__init__.py` (by [ading2210](https://github.com/ading2210)), has been written by me, [xtekky](https://github.com/xtekky).
### Copyright Notice: <a name="copyright"></a>

@ -5,6 +5,7 @@ from gpt4free import quora
from gpt4free import theb
from gpt4free import usesless
from gpt4free import you
from gpt4free import deepai
class Provider(Enum):
@ -15,6 +16,7 @@ class Provider(Enum):
ForeFront = 'fore_front'
Theb = 'theb'
UseLess = 'useless'
DeepAI = 'deepai'
class Completion:
@ -40,6 +42,8 @@ class Completion:
return Completion.__theb_service(prompt, **kwargs)
elif provider == Provider.UseLess:
return Completion.__useless_service(prompt, **kwargs)
elif provider == Provider.DeepAI:
return Completion.__deepai_service(prompt, **kwargs)
else:
raise Exception('Provider not exist, Please try again')
@ -62,4 +66,29 @@ class Completion:
@staticmethod
def __theb_service(prompt: str, **kwargs):
return ''.join(theb.Completion.create(prompt=prompt))
@staticmethod
def __deepai_service(prompt: str, **kwargs):
return ''.join(deepai.Completion.create(prompt=prompt))
class ChatCompletion:
"""This class is used to execute a chat completion for a specified provider"""
@staticmethod
def create(provider: Provider, messages: list, **kwargs) -> str:
"""
Invokes the given provider with given chat messages and addition arguments and returns the string response
:param provider: an enum representing the provider to use while invoking
:param messages: a list of chat messages, see the OpenAI docs for how to format this (https://platform.openai.com/docs/guides/chat/introduction)
:param kwargs: Additional keyword arguments to pass to the provider while invoking
:return: A string representing the response from the provider
"""
if provider == Provider.DeepAI:
return ChatCompletion.__deepai_service(messages, **kwargs)
else:
raise Exception('Provider not exist, Please try again')
@staticmethod
def __deepai_service(messages: list, **kwargs):
return ''.join(deepai.ChatCompletion.create(messages=messages))

@ -0,0 +1,26 @@
# DeepAI Wrapper
Written by [ading2210](https://github.com/ading2210/).
## Examples:
These functions are generators which yield strings containing the newly generated text.
### Completion:
```python
for chunk in deepai.Completion.create("Who are you?"):
print(chunk, end="", flush=True)
print()
```
### Chat Completion:
Use the same format for the messages as you would for the [official OpenAI API](https://platform.openai.com/docs/guides/chat/introduction).
```python
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"},
{"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
{"role": "user", "content": "Where was it played?"}
]
for chunk in deepai.ChatCompletion.create(messages):
print(chunk, end="", flush=True)
print()
```

@ -0,0 +1,46 @@
import requests
import json
import hashlib
import random
import string
from fake_useragent import UserAgent
class ChatCompletion:
@classmethod
def md5(self, text):
return hashlib.md5(text.encode()).hexdigest()[::-1]
@classmethod
def get_api_key(self, user_agent):
part1 = str(random.randint(0, 10**11))
part2 = self.md5(user_agent+self.md5(user_agent+self.md5(user_agent+part1+"x")))
return f"tryit-{part1}-{part2}"
@classmethod
def create(self, messages):
user_agent = UserAgent().random
api_key = self.get_api_key(user_agent)
headers = {
"api-key": api_key,
"user-agent": user_agent
}
files = {
"chat_style": (None, "chat"),
"chatHistory": (None, json.dumps(messages))
}
r = requests.post("https://api.deepai.org/chat_response", headers=headers, files=files, stream=True)
for chunk in r.iter_content(chunk_size=None):
r.raise_for_status()
yield chunk.decode()
class Completion:
@classmethod
def create(self, prompt):
return ChatCompletion.create([
{
"role": "user",
"content": prompt
}
])

@ -0,0 +1,18 @@
from gpt4free import deepai
#single completion
for chunk in deepai.Completion.create("Write a list of possible vacation destinations:"):
print(chunk, end="", flush=True)
print()
#chat completion
print("==============")
messages = [ #taken from the openai docs
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"},
{"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
{"role": "user", "content": "Where was it played?"}
]
for chunk in deepai.ChatCompletion.create(messages):
print(chunk, end="", flush=True)
print()
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