metadata

title: Chat With PDF Application
emoji: 😻
colorFrom: red
colorTo: yellow
sdk: streamlit
sdk_version: 1.41.1
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Chat with PDF Application

Chat with PDF is an interactive Streamlit app that lets you upload PDFs, converts their content into embeddings using OpenAI, and enables question-answering via GPT-4.

Features

PDF Upload: Upload one or multiple PDFs.
Text Extraction & Chunking: Extracts text from PDFs and splits it into manageable chunks.
Embedding Generation: Converts text chunks into embeddings using OpenAI's text-embedding-ada-002.
Question Answering: Ask questions about your documents and get context-aware answers generated by GPT-4.
Context Display: View relevant sections from the PDF that support the generated answers.

Installation

Setup

Create and activate a virtual environment:

python3 -m venv venv
source venv/bin/activate

.\venv\Scripts\activate # On Windows

Install requirements:
```
pip install -r requirements.txt
```
Run the application:
```
streamlit run app.py
```
Configure API Key:
- Create a .env file in the root directory.
- Add your OpenAI API key:
```
OPENAI_API_KEY=your_openai_api_key_here
```

Usage

Run the application:
```
streamlit run app.py
```
Interact:
- Upload PDF files.
- Wait for processing and embedding generation.
- Enter a question to get answers with relevant context excerpts from your PDFs.

Notes

The app meets core requirements: PDF uploading, text processing, embedding conversion, and Q&A.
While context is shown, highlighting directly on the PDF is not implemented yet.
Supports multiple PDF uploads and cross-document querying.