HF Spaces optimization: Add Streamlit config, suppress warnings, clean README metadata

.streamlit/config.toml

@@ -0,0 +1,14 @@
+[server]
+headless = true
+port = 7860
+enableCORS = false
+enableXsrfProtection = false
+
+[theme]
+base = "light"
+primaryColor = "#1f77b4"
+backgroundColor = "#ffffff"
+secondaryBackgroundColor = "#f0f2f6"
+
+[browser]
+gatherUsageStats = false

.streamlit/secrets.toml

@@ -0,0 +1,5 @@
+# Streamlit secrets for Hugging Face Spaces
+# This helps reduce warning messages
+
+[general]
+dataFrameSerialization = "legacy"

README.md

@@ -1,16 +1,4 @@
 ---
-title: Scikit Rag
-emoji: 🐢
-colorFrom: blue
-colorTo: yellow
-sdk: gradio
-sdk_version: 5.47.2
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
----
 title: Scikit-learn Documentation Q&A Bot
 emoji: 🤖
 colorFrom: blue
@@ -21,6 +9,9 @@ app_file: app.py
 pinned: false
 license: mit
 ---
+pinned: false
+license: mit
+---
 
 # Scikit-learn Documentation Q&A Bot 🤖
 

app.py

@@ -26,6 +26,10 @@ from openai import OpenAI
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
+# Suppress Streamlit context warnings for HF Spaces
+logging.getLogger("streamlit.runtime.scriptrunner_utils.script_run_context").setLevel(logging.ERROR)
+logging.getLogger("streamlit.runtime.state.session_state_proxy").setLevel(logging.ERROR)
+
 
 class RAGChatbot:
     """
@@ -664,5 +668,5 @@ def main():
         """)
 
 
-# This ensures the app runs properly on Hugging Face Spaces
-main()
+if __name__ == "__main__":
+    main()

run.py

@@ -0,0 +1,39 @@
+#!/usr/bin/env python3
+"""
+Runner script for Hugging Face Spaces
+This ensures Streamlit runs properly in HF Spaces environment
+"""
+
+import subprocess
+import sys
+import os
+
+def main():
+    """Run the Streamlit app with proper configuration for HF Spaces"""
+    
+    # Set environment variables for better HF Spaces compatibility
+    os.environ["STREAMLIT_SERVER_HEADLESS"] = "true"
+    os.environ["STREAMLIT_SERVER_ENABLE_CORS"] = "false"
+    os.environ["STREAMLIT_SERVER_ENABLE_XSRF_PROTECTION"] = "false"
+    
+    # Run streamlit with the app file
+    cmd = [
+        sys.executable, "-m", "streamlit", "run", "app.py",
+        "--server.port=7860",
+        "--server.address=0.0.0.0",
+        "--server.headless=true",
+        "--server.enableCORS=false",
+        "--server.enableXsrfProtection=false",
+        "--theme.base=light"
+    ]
+    
+    print("🚀 Starting Streamlit app for Hugging Face Spaces...")
+    print(f"Command: {' '.join(cmd)}")
+    
+    # Execute the command
+    result = subprocess.run(cmd)
+    return result.returncode
+
+if __name__ == "__main__":
+    exit_code = main()
+    sys.exit(exit_code)