PDF Bot

PDF Bot is a web application designed to extract information and answer questions from PDF documents using natural language processing techniques.

Features:

• Upload PDF files to the system for analysis.
• Ask questions related to the content of the uploaded PDF files.
• Retrieve answers to the questions using advanced question answering techniques.
• Supports various language models for text analysis.
• Simple and intuitive web interface.

Installation:

To run PDF Bot on your local machine, follow these steps:

• Clone the repository to your local machine: git clone <repository_url>

• Navigate to the project directory:

• Install the required dependencies: pip install -r requirements.txt

• Set up the environment variables:

• Create a .env file in the root directory of the project and add the following variables: FLASK_SECRET_KEY=your_secret_key GOOGLE_API_KEY=your_google_api_key

• Replace your_secret_key and your_google_api_key with your preferred values.

• Run the application: python app.py

• Access the application in your web browser at http://127.0.0.1:5000

Usage:

Upload PDF files:

• Click on the "Choose File" button and select a PDF file to upload.
• The path of pdf gets saved in an uploads folder once a pdf file is uploaded.

Ask questions:

• Type your question in the input field provided.
• Click on the "Post" button to submit your question.

View answers:

After submitting the question, you will receive the answer displayed on the same page.

Technologies Used:

• Flask: Python web framework for building the backend.
• HTML/CSS: For designing the user interface.
• Sentence Transformers: For generating text embeddings.
• LangChain: For text processing and analysis.
• PyMuPDF: For loading and parsing PDF documents.
• text-bison-001: For text generation and question answering.