Update app.py

app.py

@@ -1,9 +1,13 @@
+import os
 import whisper
 import gradio as gr
 import torch
 from transformers import BertTokenizer, BertForSequenceClassification, pipeline
 from app.questions import get_question
 
+# Set environment variable to disable analytics before importing gradio
+os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
+
 # Load models
 whisper_model = whisper.load_model("small")
 confidence_model = BertForSequenceClassification.from_pretrained('RiteshAkhade/final_confidence')
@@ -116,7 +120,7 @@ def transcribe_and_analyze_tech(audio, question):
     except Exception as e:
         return f"Error: {str(e)}", "", ""
 
-# UI layout
+# UI layout with analytics disabled
 with gr.Blocks(css="textarea, .gr-box { font-size: 18px !important; }") as demo:
     gr.HTML("<h1 style='text-align: center; font-size: 32px;'>INTERVIEW PREPARATION MODEL</h1>")
 
@@ -157,10 +161,22 @@ with gr.Blocks(css="textarea, .gr-box { font-size: 18px !important; }") as demo:
                                          context_analysis_result, confidence_analysis_result])
 
 if __name__ == "__main__":
-    import os
+    import sys
     
-    # Force disable API mode specifically for Hugging Face Spaces
+    # Disable all API-related functionality without using api_mode parameter
     if "SPACE_ID" in os.environ:
-        demo.launch(share=False, show_api=False, api_mode=False)
+        try:
+            # First attempt - with analytics disabled but no api_mode
+            demo.launch(share=False, show_api=False)
+        except Exception as e:
+            print(f"First launch attempt failed: {str(e)}", file=sys.stderr)
+            try:
+                # Second attempt - with additional flags
+                demo.launch(share=False, show_api=False, enable_queue=False)
+            except Exception as e:
+                print(f"Second launch attempt failed: {str(e)}", file=sys.stderr)
+                # Last resort - minimal launch
+                demo.launch()
     else:
-        demo.launch(share=True, show_api=False)
+        # For local development
+        demo.launch(share=True, show_api=False)