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README.md
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# PDF Query Chatbot
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## Overview
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The **PDF Query Chatbot** is a Streamlit-based application hosted on Hugging Face Spaces. It allows users to upload a PDF document and ask questions about its content. The chatbot utilizes a transformer model to generate responses based on the text extracted from the PDF.
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## Live Demo
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You can try the PDF Query Chatbot live here: [PDF Query Chatbot on Hugging Face Spaces](https://huggingface.co/spaces/datascientist22/rag-pdfQA-chatbot)
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## Features
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- **Upload PDF Files**: Upload PDF files directly from your local machine.
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- **Query Input**: Enter questions related to the uploaded PDF content.
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- **Text Extraction**: Extracts text from the PDF for querying.
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- **Response Generation**: Uses a transformer model to generate answers based on your query and the PDF content.
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## How to Use
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1. **Upload PDF File**: Use the sidebar to upload a PDF file.
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2. **Enter Query**: Type your question related to the PDF content in the query input field.
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3. **Submit**: Click the "Submit" button to process the file and get a response.
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4. **View Response**: The generated response will be displayed below the input fields.
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## Requirements
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To run this app locally, ensure you have the following Python packages installed:
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- `transformers`: For using pre-trained transformer models.
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- `PyPDF2`: For extracting text from PDF files.
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- `torch`: PyTorch library for running the model.
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- `streamlit`: For the web app interface.
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## Installation
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1. Clone the repository:
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```bash
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git clone https://github.com/mldatascientist23/Generative_AI_Projects.git
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cd your-repository
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```
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2. Install the required packages:
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```bash
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pip install transformers PyPDF2 torch streamlit
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```
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3. Run the Streamlit app:
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```bash
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streamlit run app.py
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``
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