LangChain Assistant

LangChain Assistant is a versatile chatbot that leverages state-of-the-art Language Models (currently GPT-3) to interact with users via Telegram and WhatsApp. The primary goal is to keep AI development open, fun, and accessible. LangChain Assistant can handle text messages, voice messages, and even generate images using OpenAI's DALL-E.

Features

• Communicate with GPT-3 models via configuration
• Support for text and voice messages
• Integration with Telegram and WhatsApp
• Generate images using OpenAI's DALL-E

Roadmap

• Support more GPT models via configuration
• Send emails
• Add events to calendar
• Write and store code ideas
• Docker support
• ... and more!

Get Images from DALL-E

To generate images using OpenAI's DALL-E, include the text '/image' in your chat message. The default image size is "256x256" and can be modified in the config.py file.

Deployment

Try for Free

To deploy LangChain Assistant for free, follow the Setup on Replit guide here.

Prerequisites

• Python 3.7 or higher
• A Telegram bot token from @BotFather
• An OpenAI API key
• A Twilio account with a WhatsApp enabled phone number

Installation

1. Clone the repository and navigate to the project directory.

2. Install the required Python packages:

pip install -r requirements.txt

3. Create a .env file in the project directory and add the following variables:

   TELEGRAM_BOT_TOKEN=
   OPENAI_API_KEY=
   TEMPERATURE_VALUE=
   ACCOUNT_SID= #Twillio
   AUTH_TOKEN= #Twillio
   

Setup Telegram

1. Run the FastAPI server:

uvicorn main:app --reload --port 8000

(when running locally on Windows) 2. Expose the local server using NGROK:

ngrok http 8000

3. Set up the webhook for your Telegram bot:

• Replace {YOUR_TOKEN} with your Telegram bot token.
• Replace {YOUR_WEBHOOK_ENDPOINT} with your NGROK domain followed by /webhook/.

https://api.telegram.org/bot{YOUR_TOKEN}/setWebhook?url={YOUR_WEBHOOK_ENDPOINT}

Setup WhatsApp

1. Activate the Twilio Sandbox for WhatsApp and obtain the Account SID and Auth Token.

2. Add the Twilio WhatsApp phone number to your contacts and send a message to join the sandbox.

3. Update the webhook URL in the Twilio Sandbox settings with your FastAPI server URL.

For more details, follow the Twilio tutorial: Send and Receive Media Messages with WhatsApp in Python