Update app.py

app.py

@@ -14,7 +14,7 @@ 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")
+HF_TOKEN = os.getenv("HF_TOKEN")  # No default; must be set in Space secrets
 
 # Initialize Salesforce connection
 try:
@@ -43,14 +43,21 @@ def compute_file_hash(file_path):
 
 def transcribe_audio(audio_file):
     """Transcribe audio using Whisper API."""
+    if not HF_TOKEN:
+        error_msg = (
+            "Error transcribing audio: HF_TOKEN not set. Please set HF_TOKEN in Space secrets at "
+            "https://huggingface.co/spaces/your-username/HealthVoiceAnalyzer/settings."
+        )
+        print(error_msg)
+        return error_msg
     try:
         with open(audio_file, "rb") as f:
             data = f.read()
         response = requests.post(WHISPER_API_URL, headers=HEADERS, data=data)
         response.raise_for_status()
         result = response.json()
-        transcription = result.get("text", "").strip()
         print(f"Whisper API response: {result}")
+        transcription = result.get("text", "").strip()
         if not transcription:
             return "Transcription empty. Please provide clear audio describing symptoms in English."
         print(f"Transcription: {transcription}")
@@ -63,7 +70,7 @@ def transcribe_audio(audio_file):
                 "https://huggingface.co/spaces/your-username/HealthVoiceAnalyzer/settings. "
                 "Ensure token has Inference API access (get at https://huggingface.co/settings/tokens)."
             )
-        print(error_msg)
+        print(f"Whisper API error: {error_msg}, Status: {e.response.status_code}")
         return error_msg
     except Exception as e:
         error_msg = f"Error transcribing audio: {str(e)}"
@@ -72,6 +79,13 @@ def transcribe_audio(audio_file):
 
 def analyze_symptoms(text):
     """Analyze symptoms using Symptom-2-Disease API."""
+    if not HF_TOKEN:
+        error_msg = (
+            "Error analyzing symptoms: HF_TOKEN not set. Please set HF_TOKEN in Space secrets at "
+            "https://huggingface.co/spaces/your-username/HealthVoiceAnalyzer/settings."
+        )
+        print(error_msg)
+        return error_msg, 0.0
     try:
         if not text or "Error transcribing" in text:
             return "No valid transcription for analysis.", 0.0
@@ -94,7 +108,7 @@ def analyze_symptoms(text):
                 "https://huggingface.co/spaces/your-username/HealthVoiceAnalyzer/settings. "
                 "Ensure token has Inference API access (get at https://huggingface.co/settings/tokens)."
             )
-        print(error_msg)
+        print(f"Symptom API error: {error_msg}, Status: {e.response.status_code}")
         return error_msg, 0.0
     except Exception as e:
         error_msg = f"Error analyzing symptoms: {str(e)}"
@@ -182,7 +196,7 @@ 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. Ensure HF_TOKEN is set in Space secrets at https://huggingface.co/spaces/your-username/HealthVoiceAnalyzer/settings."
+    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."
 )
 
 if __name__ == "__main__":