README.md

metadata

title: ScholarBot
emoji: 📚
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: 1.35.0
python_version: '3.10'
app_file: app/app.py
suggested_hardware: cpu-basic
suggested_storage: medium
fullWidth: true
header: default
short_description: Chat with your research papers
tags:
  - rag
  - langchain
  - streamlit
  - chatbot
  - document-qa
  - ai-research
  - huggingface
  - vector-database
pinned: true

🤖 ScholarBot

ScholarBot is an AI-powered research assistant that enables you to upload research papers and chat with them. It leverages cutting-edge Retrieval-Augmented Generation (RAG) pipelines and large language models (LLMs) to ground responses in the actual content of uploaded PDFs.

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Getting Started (Local Setup)

# Clone the repo
git clone https://huggingface.co/spaces/vinny4/ScholarBot
cd ScholarBot

# Install dependencies
pip install -r requirements.txt

# Create a .env file with OPENAI_API_KEY and GROQ_API_KEY
echo "OPENAI_API_KEY=your_openai_api_key" > .env
echo "GROQ_API_KEY=your_groq_api_key" >> .env

# Run Streamlit app
streamlit run app.py