Add Dockerfile for HuggingFace deployment

Dockerfile

@@ -0,0 +1,13 @@
+FROM python:3.10-slim
+
+WORKDIR /app
+
+COPY requirements.txt .
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+EXPOSE 7860
+
+CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]

README.md

@@ -1,3 +1,4 @@
+<<<<<<< HEAD
 # 📄 RAG Chatbot
 
 A Retrieval-Augmented Generation (RAG) chatbot that answers questions from any PDF document.
@@ -19,4 +20,8 @@ A Retrieval-Augmented Generation (RAG) chatbot that answers questions from any P
 1. Clone the repo
 2. Install dependencies: `pip install -r requirements.txt`
 3. Add your Groq API key in `.env`
-4. Run: `streamlit run app.py`
+4. Run: `streamlit run app.py`
+=======
+# DocuMind-AI
+An intelligent document assistant powered by RAG, LangChain,  Groq LLaMA 3, and FAISS. Upload any PDF and chat with it  using state-of-the-art AI — built for real-world enterprise use.
+>>>>>>> c928729e2ea30c15acbcaf6550314fcc867ab925

requirements.txt

@@ -1,8 +1,9 @@
 streamlit
-langchain
-langchain-community
-langchain-groq
-langchain-text-splitters
+langchain==0.3.25
+langchain-core==0.3.60
+langchain-community==0.3.24
+langchain-groq==0.3.2
+langchain-text-splitters==0.3.8
 langchain-huggingface
 faiss-cpu
 pypdf