README.md

metadata

title: Contextual ChatBot
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false
hf_oauth: true
hf_oauth_scopes:
  - inference-api
short_description: Contextual Chatbot using Python, LangChain, Llama3.2 (3B)
long_description: >-
  This project is a Contextual PDF ChatBot built with Python, Ollama, LangChain,
  and ChromaDB.   It enables users to upload documents (PDFs or images) and
  interact with them through natural language queries.  

  - **Flask** powers the backend APIs for document upload, query handling, and
  retrieval.   - **MongoDB** stores document metadata and conversation history,
  ensuring persistent and contextual chat.   - **ChromaDB** manages vector
  embeddings for efficient semantic search and retrieval.   - **Llama 3.2 (3B)**
  is used as the language model, running locally via Ollama.  

  Together, this system provides an end-to-end RAG (Retrieval-Augmented
  Generation) pipeline for intelligent,  document-aware conversations.   

An example chatbot using Gradio, huggingface_hub, and the Hugging Face Inference API.