Update app.py

app.py

@@ -1,30 +1,19 @@
-#!/usr/bin/env python3
-"""
-Hugging Face Spaces entrypoint.
-
-HF Spaces looks for either:
-- app.py with a variable named `demo` or `app`, OR
-- a Gradio `Blocks` returned and launched.
-
-This file reuses your existing Gradio UI factory.
-"""
-
-import os
-
-# Optional: you can set defaults for HF here
-os.environ.setdefault("DB_XLSX", "database.xlsx")
-os.environ.setdefault("EMB_CACHE", "treatment_embeddings.pkl")
-
-# IMPORTANT: in HF we do NOT have Ollama. Use transformers backend.
-os.environ.setdefault("LOCAL_LLM_PROVIDER", "transformers")
-
-# Choose a CPU-friendly open model (no auth required).
-# Good default: TinyLlama (fast-ish on CPU).
-os.environ.setdefault("HF_LLM_MODEL", "TinyLlama/TinyLlama-1.1B-Chat-v1.0")
-
-from gradio_new_rag_app import make_app
-
-demo = make_app()
-
-if __name__ == "__main__":
-    demo.launch()
+import os
+import sys
+
+# Ensure this folder is importable on HF (Linux)
+sys.path.append(os.path.dirname(__file__))
+
+# HF Spaces: do NOT use Ollama; use transformers backend
+os.environ.setdefault("LOCAL_LLM_PROVIDER", "transformers")
+
+# CPU-friendly default model for Spaces
+os.environ.setdefault("HF_LLM_MODEL", "TinyLlama/TinyLlama-1.1B-Chat-v1.0")
+
+# Data file defaults (you will upload these)
+os.environ.setdefault("DB_XLSX", "database.xlsx")
+os.environ.setdefault("EMB_CACHE", "treatment_embeddings.pkl")
+
+from gradio_new_rag_app import make_app
+
+demo = make_app()