💁 Document-Based/Context-Based Chatbot with Langchain, LLM (GPT-3), and Chroma 📝

🤖 This is a chatbot that uses a combination of Langchain, LLM (GPT-3), and Chroma to generate responses based on a user's input and a provided document or context. Features

Generates responses based on a user's input and a provided document or context
Uses Langchain to preprocess the user's input and document/context
Uses LLM (GPT-3) to generate responses based on the preprocessed input and document/context
Uses Chroma to highlight important words and phrases in the document/context
Built with Python and Streamlit, making it easy to run and demo

🎯 Demo:

ChatScreen 1	ChatScreen 2

ChatScreen 3

Technical Architecture

Documentation

Read the article to learn more.

Requirements

Python 3.7 or later
Streamlit 0.80.0 or later
OpenAI API key with access to LLM (GPT-3)

Installation

Clone the repository:

git clone https://github.com/your-username/your-repository.git

Install the required Python packages:

pip install -r requirements.txt

Set up your OpenAI API key by creating a .env file in the root directory of the project with the following contents:

OPENAI_API_KEY=<your-api-key-here>

Run the Streamlit app:

streamlit run app.py

Cutomize the Document

If you would like to test with any personalized document please replace the docs directory.

Usage

Enter a message or question in the imput prompt panel. This is what you want the chatbot to respond to.
Click the "Send" button or press Enter to generate a response from the chatbot.
🎉 The response will appear in the right-hand panel

Contributions

🙌 Contributions are welcome! If you have any suggestions for improving this chatbot, please submit a pull request. License

If you like this do star to this repo ⭐ and contributes...💁💁💁

Thanks for reading...🙏🙏🙏

📝 This project is licensed under the MIT License. See the LICENSE file for details.

joaopiopedreira/Context-Based-LLMChatbot