/Chat-with-multiple-files-llamaindex

Creating a chat application that can handle multiple files using LlamaIndex, OpenAI, and Streamlit involves several steps

Primary LanguageJupyter NotebookMIT LicenseMIT

Chat-with-multiple-files-llamaindex

Creating a chat application that can handle multiple files using LlamaIndex, OpenAI, and Streamlit involves several steps

Application Screenshot

Multi-File Chat Application

This repository contains a chat application that allows users to upload multiple files, processes these files to extract information, and then uses an AI model (OpenAI's GPT-4) to answer questions or provide insights based on the content of the files. The application is built using Streamlit for the front-end interface, LlamaIndex for indexing and searching through the content, and OpenAI for the natural language processing capabilities.

Features

  • Upload multiple text files.
  • Index and search content from the uploaded files.
  • Ask questions and get answers based on the content of the files using OpenAI's GPT-4.

Requirements

  • Python 3.8 or higher
  • streamlit library
  • openai library
  • llama-index library

Installation

  1. Clone the repository:

    git clone https://github.com/leodeveloper/Chat-with-multiple-files-llamaindex
cd Chat-with-multiple-files-llamaindex

  2. Install the required Python packages:

    pip install streamlit openai llama-index

  3. Set up your OpenAI API key:

    Obtain your API key from OpenAI and set it as an environment variable or replace 'YOUR_OPENAI_API_KEY' in the script with your actual API key.

    export OPENAI_API_KEY='your-api-key'

Application Flow

  1. Upload Files: Use the file uploader to upload multiple text files.
  2. Indexing: The content of the uploaded files is read and indexed using LlamaIndex.
  3. Ask Questions: Input your questions in the chat interface.
  4. Get Answers: The application retrieves relevant content from the indexed files and uses OpenAI's GPT-4 to generate and display answers.

Example

  1. Upload Files: Select and upload multiple text files.
  2. Ask a Question: Type a question related to the content of the uploaded files.
  3. Receive an Answer: The application provides an answer based on the indexed content and AI processing.

Contributing

Contributions are welcome! Please submit a pull request or open an issue to discuss any changes or improvements.

License

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

Acknowledgments

Contact

For any questions or suggestions, please feel free to reach out to [leodeveloper@gmail.com].