Update app.py

app.py

@@ -7,13 +7,8 @@ from datetime import datetime
 import soundfile as sf
 import torch
 from tenacity import retry, stop_after_attempt, wait_fixed
-import pyttsx3
 from transformers import pipeline
 
-# Initialize text-to-speech engine
-tts_engine = pyttsx3.init()
-tts_engine.setProperty('rate', 150)
-
 # Initialize local models with retry logic
 @retry(stop=stop_after_attempt(3), wait=wait_fixed(2))
 def load_whisper_model():
@@ -145,10 +140,6 @@ def handle_health_query(query, language="en"):
         return "Please provide a valid health query."
     # Placeholder for Q&A logic (could integrate a model like BERT for Q&A)
     response = f"Response to query '{query}': For accurate health information, consult a healthcare provider."
-    # Text-to-speech
-    tts_engine.setProperty('voice', language)
-    tts_engine.say(response)
-    tts_engine.runAndWait()
     return response
 
 def analyze_voice(audio_file, language="en"):
@@ -170,8 +161,6 @@ def analyze_voice(audio_file, language="en"):
         # Transcribe audio
         transcription = transcribe_audio(audio_file, language)
         if "Error transcribing" in transcription:
-            tts_engine.say(transcription)
-            tts_engine.runAndWait()
             return transcription
         
         # Check for medication-related queries
@@ -179,15 +168,11 @@ def analyze_voice(audio_file, language="en"):
             feedback = "Error: This tool does not provide medication or treatment advice. Please describe symptoms only (e.g., 'I have a fever')."
             feedback += f"\n\n**Debug Info**: Transcription = '{transcription}', File Hash = {file_hash}"
             feedback += "\n**Disclaimer**: This is not a diagnostic tool. Consult a healthcare provider for medical advice."
-            tts_engine.say(feedback)
-            tts_engine.runAndWait()
             return feedback
         
         # Analyze symptoms
         prediction, score = analyze_symptoms(transcription)
         if "Error analyzing" in prediction:
-            tts_engine.say(prediction)
-            tts_engine.runAndWait()
             return prediction
         
         # Generate feedback
@@ -199,10 +184,6 @@ def analyze_voice(audio_file, language="en"):
         feedback += f"\n\n**Debug Info**: Transcription = '{transcription}', Prediction = {prediction}, Confidence = {score:.4f}, File Hash = {file_hash}"
         feedback += "\n**Disclaimer**: This is not a diagnostic tool. Consult a healthcare provider for medical advice."
         
-        # Text-to-speech for feedback
-        tts_engine.say(feedback)
-        tts_engine.runAndWait()
-        
         # Clean up temporary audio file
         try:
             os.remove(audio_file)
@@ -212,10 +193,7 @@ def analyze_voice(audio_file, language="en"):
         
         return feedback
     except Exception as e:
-        error_msg = f"Error processing audio: {str(e)}"
-        tts_engine.say(error_msg)
-        tts_engine.runAndWait()
-        return error_msg
+        return f"Error processing audio: {str(e)}"
 
 # Gradio interface
 def create_gradio_interface():
@@ -225,7 +203,8 @@ def create_gradio_interface():
             # Health Voice Analyzer
             Record or upload a voice sample describing symptoms in English, Spanish, Hindi, or Mandarin (e.g., 'I have a fever').  
             Ask health questions in the text box below. Supports WAV, 16kHz audio.  
-            **Disclaimer**: This is not a diagnostic tool. Consult a healthcare provider for medical advice.
+            **Disclaimer**: This is not a diagnostic tool. Consult a healthcare provider for medical advice.  
+            **Note**: Text-to-speech is available in the web frontend (Salesforce Sites) using the browser's Web Speech API.
             """
         )
         with gr.Row():