langchain/docs/extras/integrations/llms/banana.ipynb

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  {
   "cell_type": "markdown",
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   "source": [
    "# Banana\n",
    "\n",
    "\n",
    "[Banana](https://www.banana.dev/about-us) is focused on building the machine learning infrastructure.\n",
    "\n",
    "This example goes over how to use LangChain to interact with Banana models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
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   "source": [
    "# Install the package  https://docs.banana.dev/banana-docs/core-concepts/sdks/python\n",
    "!pip install banana-dev"
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {},
   "outputs": [],
   "source": [
    "# get new tokens: https://app.banana.dev/\n",
    "# We need three parameters to make a Banana.dev API call:\n",
    "# * a team api key\n",
    "# * the model's unique key\n",
    "# * the model's url slug\n",
    "\n",
    "import os\n",
    "from getpass import getpass\n",
    "\n",
    "# You can get this from the main dashboard\n",
    "# at https://app.banana.dev\n",
    "os.environ[\"BANANA_API_KEY\"] = \"YOUR_API_KEY\"\n",
    "# OR\n",
    "# BANANA_API_KEY = getpass()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.llms import Banana\n",
    "from langchain.prompts import PromptTemplate\nfrom langchain.chains import LLMChain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "template = \"\"\"Question: {question}\n",
    "\n",
    "Answer: Let's think step by step.\"\"\"\n",
    "\n",
    "prompt = PromptTemplate(template=template, input_variables=[\"question\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Both of these are found in your model's \n",
    "# detail page in https://app.banana.dev\n",
    "llm = Banana(model_key=\"YOUR_MODEL_KEY\", model_url_slug=\"YOUR_MODEL_URL_SLUG\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "llm_chain = LLMChain(prompt=prompt, llm=llm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "question = \"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\n",
    "\n",
    "llm_chain.run(question)"
   ]
  }
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