Update app.py

app.py

@@ -8,10 +8,10 @@ import os
 from datetime import datetime
 
 # Salesforce credentials (store securely in environment variables)
-SF_USERNAME = os.getenv("SF_USERNAME", "[email protected]")
-SF_PASSWORD = os.getenv("SF_PASSWORD", "voicebot1")
-SF_SECURITY_TOKEN = os.getenv("SF_SECURITY_TOKEN", "jq4VVHUFti6TmzJDjjegv2h6b")
-SF_INSTANCE_URL = os.getenv("SF_INSTANCE_URL", "https://voicebot-dev-ed.develop.lightning.force.com/lightning/setup/SetupOneHome/home")
+SF_USERNAME = os.getenv("SF_USERNAME", "your_salesforce_username")
+SF_PASSWORD = os.getenv("SF_PASSWORD", "your_salesforce_password")
+SF_SECURITY_TOKEN = os.getenv("SF_SECURITY_TOKEN", "your_salesforce_security_token")
+SF_INSTANCE_URL = os.getenv("SF_INSTANCE_URL", "https://your-salesforce-instance.salesforce.com")
 
 # Initialize Salesforce connection
 try:
@@ -40,16 +40,16 @@ def analyze_voice(audio_file):
         with torch.no_grad():
             outputs = model(**inputs)
         
-        # Extract features (simplified for demo; real-world needs trained classifier)
+        # Extract features (simplified for demo)
         features = outputs.last_hidden_state.mean(dim=1).numpy()
         
-        # Placeholder health analysis (replace with trained model)
+        # Adjusted thresholds for testing (lower to trigger feedback)
         respiratory_score = np.mean(features)  # Mock score
         mental_health_score = np.std(features)  # Mock score
         feedback = ""
-        if respiratory_score > 0.5:
+        if respiratory_score > 0.1:  # Lowered from 0.5
             feedback += "Possible respiratory issue detected; consult a doctor. "
-        if mental_health_score > 0.3:
+        if mental_health_score > 0.1:  # Lowered from 0.3
             feedback += "Possible stress indicators detected; consider professional advice. "
         
         if not feedback:
@@ -78,6 +78,13 @@ def store_in_salesforce(audio_file, feedback, respiratory_score, mental_health_s
     except Exception as e:
         print(f"Failed to store in Salesforce: {str(e)}")
 
+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"
+    if os.path.exists(sample_audio_path):
+        return analyze_voice(sample_audio_path)
+    return "Sample audio file not found."
+
 # Gradio interface
 iface = gr.Interface(
     fn=analyze_voice,
@@ -88,4 +95,5 @@ iface = gr.Interface(
 )
 
 if __name__ == "__main__":
+    print(test_with_sample_audio())  # Run test on startup
     iface.launch(server_name="0.0.0.0", server_port=7860)