Update app.py

app.py

@@ -8,10 +8,10 @@ from datetime import datetime
 from simple_salesforce import Salesforce
 
 # Salesforce credentials (store securely in environment variables)
-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")
+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.my.salesforce.com")  # Verify correct API URL
 
 # Hugging Face Inference API token (store in environment variables)
 HF_TOKEN = os.getenv("HF_TOKEN", "your_huggingface_token")
@@ -49,16 +49,23 @@ def transcribe_audio(audio_file):
         response = requests.post(WHISPER_API_URL, headers=HEADERS, data=data)
         response.raise_for_status()
         result = response.json()
-        transcription = result.get("text", "")
+        transcription = result.get("text", "").strip()
+        if not transcription:
+            return "Transcription empty. Please provide clear audio describing symptoms."
         print(f"Transcription: {transcription}")
         return transcription
+    except requests.exceptions.HTTPError as e:
+        if e.response.status_code == 401:
+            return "Error transcribing audio: Unauthorized. Please check HF_TOKEN in Space secrets at https://huggingface.co/spaces/your-username/HealthVoiceAnalyzer/settings."
+        return f"Error transcribing audio: {str(e)}"
     except Exception as e:
-        print(f"Whisper API error: {str(e)}")
         return f"Error transcribing audio: {str(e)}"
 
 def analyze_symptoms(text):
     """Analyze symptoms using Symptom-2-Disease API."""
     try:
+        if not text or "Error transcribing" in text:
+            return "No valid transcription for analysis.", 0.0
         payload = {"inputs": text}
         response = requests.post(SYMPTOM_API_URL, headers=HEADERS, json=payload)
         response.raise_for_status()
@@ -69,13 +76,21 @@ def analyze_symptoms(text):
             print(f"Health Prediction: {prediction}, Score: {score:.4f}")
             return prediction, score
         return "No health condition predicted", 0.0
+    except requests.exceptions.HTTPError as e:
+        if e.response.status_code == 401:
+            return "Error analyzing symptoms: Unauthorized. Please check HF_TOKEN in Space secrets at https://huggingface.co/spaces/your-username/HealthVoiceAnalyzer/settings.", 0.0
+        return f"Error analyzing symptoms: {str(e)}", 0.0
     except Exception as e:
-        print(f"Symptom API error: {str(e)}")
         return f"Error analyzing symptoms: {str(e)}", 0.0
 
 def analyze_voice(audio_file):
     """Analyze voice for health indicators."""
     try:
+        # Ensure unique file name to avoid Gradio reuse
+        unique_path = f"/tmp/gradio/{datetime.now().strftime('%Y%m%d%H%M%S%f')}_{os.path.basename(audio_file)}"
+        os.rename(audio_file, unique_path)
+        audio_file = unique_path
+        
         # Log audio file info
         file_hash = compute_file_hash(audio_file)
         print(f"Processing audio file: {audio_file}, Hash: {file_hash}")
@@ -133,11 +148,15 @@ def store_in_salesforce(audio_file, feedback, transcription, prediction, score):
         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"
-    if os.path.exists(sample_audio_path):
-        return analyze_voice(sample_audio_path)
-    return "Sample audio file not found."
+    """Test the app with sample audio files."""
+    samples = ["audio_samples/sample.wav", "audio_samples/common_voice_en.wav"]
+    results = []
+    for sample in samples:
+        if os.path.exists(sample):
+            results.append(analyze_voice(sample))
+        else:
+            results.append(f"Sample not found: {sample}")
+    return "\n".join(results)
 
 # Gradio interface
 iface = gr.Interface(
@@ -145,7 +164,7 @@ iface = gr.Interface(
     inputs=gr.Audio(type="filepath", label="Record or Upload Voice"),
     outputs=gr.Textbox(label="Health Assessment Feedback"),
     title="Health Voice Analyzer",
-    description="Record or upload a voice sample describing symptoms for preliminary health assessment. Supports English (transcription), with symptom analysis in English."
+    description="Record or upload a voice sample describing symptoms for preliminary health assessment. Supports English (transcription), with symptom analysis in English. Ensure HF_TOKEN is set in Space secrets at https://huggingface.co/spaces/your-username/HealthVoiceAnalyzer/settings."
 )
 
 if __name__ == "__main__":