Update app.py

app.py

@@ -50,16 +50,25 @@ def transcribe_audio(audio_file):
         response.raise_for_status()
         result = response.json()
         transcription = result.get("text", "").strip()
+        print(f"Whisper API response: {result}")
         if not transcription:
-            return "Transcription empty. Please provide clear audio describing symptoms."
+            return "Transcription empty. Please provide clear audio describing symptoms in English."
         print(f"Transcription: {transcription}")
         return transcription
     except requests.exceptions.HTTPError as e:
+        error_msg = f"Error transcribing audio: {str(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)}"
+            error_msg = (
+                "Error transcribing audio: Unauthorized. Please check HF_TOKEN in Space secrets at "
+                "https://huggingface.co/spaces/your-username/HealthVoiceAnalyzer/settings. "
+                "Ensure token has Inference API access (get at https://huggingface.co/settings/tokens)."
+            )
+        print(error_msg)
+        return error_msg
     except Exception as e:
-        return f"Error transcribing audio: {str(e)}"
+        error_msg = f"Error transcribing audio: {str(e)}"
+        print(error_msg)
+        return error_msg
 
 def analyze_symptoms(text):
     """Analyze symptoms using Symptom-2-Disease API."""
@@ -70,6 +79,7 @@ def analyze_symptoms(text):
         response = requests.post(SYMPTOM_API_URL, headers=HEADERS, json=payload)
         response.raise_for_status()
         result = response.json()
+        print(f"Symptom API response: {result}")
         if result and isinstance(result, list) and len(result) > 0:
             prediction = result[0][0]["label"]
             score = result[0][0]["score"]
@@ -77,11 +87,19 @@ def analyze_symptoms(text):
             return prediction, score
         return "No health condition predicted", 0.0
     except requests.exceptions.HTTPError as e:
+        error_msg = f"Error analyzing symptoms: {str(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
+            error_msg = (
+                "Error analyzing symptoms: Unauthorized. Please check HF_TOKEN in Space secrets at "
+                "https://huggingface.co/spaces/your-username/HealthVoiceAnalyzer/settings. "
+                "Ensure token has Inference API access (get at https://huggingface.co/settings/tokens)."
+            )
+        print(error_msg)
+        return error_msg, 0.0
     except Exception as e:
-        return f"Error analyzing symptoms: {str(e)}", 0.0
+        error_msg = f"Error analyzing symptoms: {str(e)}"
+        print(error_msg)
+        return error_msg, 0.0
 
 def analyze_voice(audio_file):
     """Analyze voice for health indicators."""