Upload folder using huggingface_hub

app.py

@@ -2,6 +2,8 @@ import os
 import sys
 from pathlib import Path
 
+from src.speech_recognizer import create_speech_recognizer
+
 # Check PyTorch availability first
 try:
     import torch
@@ -30,7 +32,6 @@ current_dir = Path(__file__).parent
 sys.path.insert(0, str(current_dir / "src"))
 sys.path.insert(0, str(current_dir))
 
-from src.speech_recognizer import create_speech_recognizer
 
 # --- Configuration ---
 # It's recommended to use a specific model from the Hub.
@@ -233,7 +234,7 @@ if __name__ == "__main__":
     space_id = os.getenv("SPACE_ID", "unknown")
 
     # Debug environment info
-    print(f"🔍 Environment Detection:")
+    print("🔍 Environment Detection:")
     print(f"   - SPACE_ID: {space_id}")
     print(f"   - Is HF Space: {is_hf_space}")
     print(f"   - Model Repo: {HUGGINGFACE_REPO}")
@@ -244,7 +245,7 @@ if __name__ == "__main__":
         iface.launch(
             server_name="0.0.0.0",
             server_port=7860,
-            share=False,  # Not needed on HF Spaces - already public
+            share=True,  # Not needed on HF Spaces - already public
         )
     else:
         print("💻 Running locally - creating public share link for development")