Update app.py

app.py

@@ -40,27 +40,40 @@ def analyze_voice(audio_file):
         with torch.no_grad():
             outputs = model(**inputs)
         
-        # Extract features (simplified for demo)
+        # Extract features
         features = outputs.last_hidden_state.mean(dim=1).numpy()
         
-        # Adjusted thresholds for testing (lower to trigger feedback)
-        respiratory_score = np.mean(features)  # Mock score
-        mental_health_score = np.std(features)  # Mock score
+        # Mock health analysis (for testing)
+        respiratory_score = np.mean(features)
+        mental_health_score = np.std(features)
+        
+        # Debug: Print scores
+        print(f"Respiratory Score: {respiratory_score:.4f}, Mental Health Score: {mental_health_score:.4f}")
+        
+        # Adjusted thresholds for testing
         feedback = ""
-        if respiratory_score > 0.1:  # Lowered from 0.5
-            feedback += "Possible respiratory issue detected; consult a doctor. "
-        if mental_health_score > 0.1:  # Lowered from 0.3
-            feedback += "Possible stress indicators detected; consider professional advice. "
+        if respiratory_score > 0.1:
+            feedback += f"Possible respiratory issue detected (score: {respiratory_score:.4f}); consult a doctor. "
+        if mental_health_score > 0.1:
+            feedback += f"Possible stress indicators detected (score: {mental_health_score:.4f}); consider professional advice. "
         
         if not feedback:
             feedback = "No significant health indicators detected."
         
-        feedback += "\n\n**Disclaimer**: This is not a diagnostic tool. Consult a healthcare provider for medical advice."
+        feedback += f"\n\n**Debug Info**: Respiratory Score = {respiratory_score:.4f}, Mental Health Score = {mental_health_score:.4f}"
+        feedback += "\n**Disclaimer**: This is not a diagnostic tool. Consult a healthcare provider for medical advice."
         
         # Store in Salesforce
         if sf:
             store_in_salesforce(audio_file, feedback, respiratory_score, mental_health_score)
         
+        # Clean up temporary audio file (for HIPAA/GDPR compliance)
+        try:
+            os.remove(audio_file)
+            print(f"Deleted temporary audio file: {audio_file}")
+        except Exception as e:
+            print(f"Failed to delete audio file: {str(e)}")
+        
         return feedback
     except Exception as e:
         return f"Error processing audio: {str(e)}"
@@ -80,7 +93,7 @@ def store_in_salesforce(audio_file, feedback, respiratory_score, mental_health_s
 
 def test_with_sample_audio():
     """Test the app with a sample audio file."""
-    sample_audio_path = "audio_samples/sample.wav"  # Or "audio_samples/common_voice_sample.wav"
+    sample_audio_path = "audio_samples/sample.wav"  # Adjust if using common_voice_sample.wav
     if os.path.exists(sample_audio_path):
         return analyze_voice(sample_audio_path)
     return "Sample audio file not found."