https://github.com/bushra-07/chat-with-multiple-pdfs

An interactive tool to chat with multiple PDFs at once. Upload documents and get quick insights, answers, and information extraction from all your files simultaneously.
https://github.com/bushra-07/chat-with-multiple-pdfs

chatbot conversational-ai google-generative-ai langchain machine-learning natural-language-processing pypdf2 python streamlit

Last synced: 4 months ago
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An interactive tool to chat with multiple PDFs at once. Upload documents and get quick insights, answers, and information extraction from all your files simultaneously.

• Host: GitHub
• URL: https://github.com/bushra-07/chat-with-multiple-pdfs
• Owner: bushra-07
• License: mit
• Created: 2024-08-19T07:36:13.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-19T07:46:37.000Z (almost 2 years ago)
• Last Synced: 2025-10-13T22:44:52.827Z (8 months ago)
• Topics: chatbot, conversational-ai, google-generative-ai, langchain, machine-learning, natural-language-processing, pypdf2, python, streamlit
• Language: Python
• Homepage:
• Size: 8.79 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Chat with Multiple PDFs 🤖📚

This project is a **Streamlit-based app** that allows users to chat with the contents of multiple PDF files. It uses **Langchain**, **Google Generative AI**, and **FAISS** for document vectorization, retrieval, and conversational responses.

## Features

- Upload multiple PDFs and extract the text.

- Vectorize text chunks using Google Generative AI embeddings.

- Store vectorized text in FAISS for efficient similarity search.

- Ask questions, and the app retrieves relevant chunks from the PDFs to answer.

- Integrated conversational AI for detailed and contextual responses.

## Getting Started

Follow these steps to set up and run the project on your local machine.

### Prerequisites

Before running this project, ensure that you have the following installed:

- Python 3.8 or later

- Streamlit

- PyPDF2

- Langchain

- FAISS

- Google Generative AI SDK

### Installation

1. **Clone the repository:**

    ```bash

    git clone https://github.com/your-username/chat-with-multiple-pdfs.git

    cd chat-with-multiple-pdfs

    ```

2. **Set up a virtual environment (optional but recommended):**

    ```bash

    python3 -m venv venv

    source venv/bin/activate  # On Windows use `venv\Scripts\activate`

    ```

3. **Install the required dependencies:**

    ```bash

    pip install -r requirements.txt

    ```

4. **Create a `.env` file** in the root directory and add your Google API key:

    ```plaintext

    GOOGLE_API_KEY=your-google-api-key

    ```

### How to Run

1. **Prepare your environment:**

    - Make sure you have your Google Generative AI API key ready.

    - Ensure that your `.env` file contains the key.

2. **Run the Streamlit app:**

    ```bash

    streamlit run app.py

    ```

3. **Upload your PDFs**:

    - Use the sidebar to upload multiple PDF files.

    - Click the "Submit & Process" button to extract and process the text.

4. **Ask Questions**:

    - Enter your question in the text input field.

    - The app will retrieve relevant sections from the PDFs and provide a detailed answer.

### Example Use Case

- Upload a few research papers or documents, and ask specific questions about their contents.

- The app will return the most relevant sections of the PDFs, providing detailed responses.

### Project Structure

```plaintext

├── app.py                   # Main application file

├── .env                     # Environment variables (contains the Google API key)

├── requirements.txt         # Python dependencies

└── README.md                # Project documentation