Update for Hugging Face Spaces deployment

Author: Abeshith

Dockerfile

@@ -10,8 +10,8 @@ RUN pip install --no-cache-dir uv && \
 
 COPY . .
 
-EXPOSE 8000
+EXPOSE 7860
 
 ENV PYTHONUNBUFFERED=1
 
-CMD ["python", "app.py"]
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

README_HF.md

@@ -0,0 +1,34 @@
+---
+title: RAG Project - Learn with Transformers
+emoji: 🤖
+colorFrom: purple
+colorTo: blue
+sdk: docker
+pinned: false
+---
+
+# RAG Project - Learn with Transformers
+
+A Retrieval-Augmented Generation (RAG) system built with LangChain, LangGraph, and FastAPI.
+
+## Features
+- 🔍 Document retrieval with FAISS vector store
+- 🎯 FlashRank reranking for improved relevance
+- 🤖 Corrective RAG with LangGraph agent workflow
+- 🧠 Powered by Groq LLM
+- 📄 Built on "Attention Is All You Need" paper
+
+## Tech Stack
+- **LLM**: Groq (openai/gpt-oss-120b)
+- **Embeddings**: FastEmbed (BAAI/bge-small-en-v1.5)
+- **Vector Store**: FAISS
+- **Reranker**: FlashRank (rank-T5-flan)
+- **Framework**: LangChain + LangGraph
+- **Web**: FastAPI + Jinja2
+
+## Environment Variables Required
+Set these in your Space settings:
+- `GROQ_API_KEY`
+- `GOOGLE_API_KEY`
+- `LANGSMITH_API_KEY` (optional)
+- `TAVILY_API_KEY` (optional)

app.py

@@ -53,4 +53,6 @@ async def search(request: Request, query: str = Form(...)):
 
 
 if __name__ == "__main__":
-    uvicorn.run(app, host="0.0.0.0", port=8000)
+    import os
+    port = int(os.getenv("PORT", 7860))
+    uvicorn.run(app, host="0.0.0.0", port=port)