Chat with Multiple PDFs

This project is a Streamlit application that leverages large language models and libraries such as Langchain, OpenAI, and Hugging Face to interact with multiple PDFs.

Requirements

The following libraries are required for this project:

• streamlit
• pypdf2
• langchain
• python-dotenv
• faiss-cpu
• openai
• huggingface_hub

Setup

1. Clone the repository

   git clone <repository-url>
   cd chat-with-multiple-pdf

2. Create a virtual environment

   • Windows

     python -m venv .venv
     .\.venv\Scripts\activate

   • macOS/Linux

     python3 -m venv .venv
     source .venv/bin/activate

3. Install the dependencies

   pip install -r requirements.txt

4. Create an .env file

   In the root directory of the project, create a file named .env and add the following lines with your actual API keys and tokens:

   OPENAI_API_KEY=your_openai_api_key
   HUGGINGFACE_API_KEY=your_huggingface_api_key
   HUGGINGFACE_API_TOKEN=your_huggingface_api_token
   PINECONE_API_KEY=your_pinecone_api_key
   PINECONE_INDEX_NAME=your_pinecone_index_name
   PINECONE_ENVIRONMENT=your_pinecone_environment

5. Run the application

   streamlit run app.py

   This will start the Streamlit application and you can view it in your browser.

.gitignore

Ensure you have a .gitignore file to exclude unnecessary files from the repository. Below is an example:

```plaintext
# Virtual environment
.venv/
venv/
ENV/
env/

# Python bytecode files
__pycache__/
*.py[cod]
*$py.class

# Environment variables
.env

# Jupyter Notebook checkpoints
.ipynb_checkpoints

# VS Code settings
.vscode/

# macOS system files
.DS_Store

# Windows system files
Thumbs.db
Desktop.ini

# PyCharm
.idea/

# Log files
*.log
```