Fix HF deployment: add langchain-text-splitters, langchain-huggingface, simplify env

huggingface/.env.example

@@ -0,0 +1,21 @@
+# ===========================================================================
+# MediGuard AI — HuggingFace Spaces Environment Variables
+# ===========================================================================
+# MINIMAL config for HuggingFace Spaces deployment.
+# Only the LLM API key is required — everything else has sensible defaults.
+# ===========================================================================
+
+# --- LLM Provider (choose ONE) ---
+# Option 1: Groq (RECOMMENDED - fast, free)
+GROQ_API_KEY=your_groq_api_key_here
+
+# Option 2: Google Gemini (alternative free option)
+# GOOGLE_API_KEY=your_google_api_key_here
+
+# --- Provider Selection (auto-detected from keys) ---
+LLM_PROVIDER=groq
+
+# --- Embedding Provider (must match vector store) ---
+# The bundled vector store uses HuggingFace embeddings (384 dim)
+# DO NOT CHANGE THIS unless you rebuild the vector store!
+EMBEDDING_PROVIDER=huggingface

huggingface/README.md

@@ -1,14 +1,12 @@
 ---
-title: MediGuard AI
+title: Agentic RagBot
 emoji: 🏥
 colorFrom: blue
-colorTo: cyan
+colorTo: indigo
 sdk: docker
 pinned: true
 license: mit
 app_port: 7860
-models:
-  - meta-llama/Llama-3.3-70B-Versatile
 tags:
   - medical
   - biomarker

huggingface/requirements.txt

@@ -11,6 +11,8 @@ gradio>=5.0.0
 # --- LangChain Core ---
 langchain>=0.3.0
 langchain-community>=0.3.0
+langchain-core>=0.3.0
+langchain-text-splitters>=0.3.0
 langgraph>=0.2.0
 
 # --- Cloud LLM Providers (FREE tiers) ---
@@ -20,8 +22,9 @@ langchain-google-genai>=2.0.0
 # --- Vector Store ---
 faiss-cpu>=1.8.0
 
-# --- Embeddings ---
+# --- Embeddings (local - no API key needed) ---
 sentence-transformers>=3.0.0
+langchain-huggingface>=0.1.0
 
 # --- Document Processing ---
 pypdf>=4.0.0
@@ -35,4 +38,5 @@ httpx>=0.27.0
 
 # --- Utilities ---
 python-dotenv>=1.0.0
+tenacity>=8.0.0
 numpy<2.0.0