Update app.py

app.py

@@ -133,29 +133,41 @@ def arabic_sentiment_analysis(text):
             return "neutral"
 
 def tts_interface(text_input, speaker_audio):
-    if model is None: # Changed 'tts' to 'model'
+    print("--- tts_interface function called ---")
+    print(f"Text Input: {text_input}")
+    print(f"Speaker Audio Path: {speaker_audio}")
+
+    if model is None:
+        print("Error: TTS model failed to load.")
         return "Error: TTS model failed to load. Check the logs."
     if speaker_audio is None:
+        print("Error: Please upload a reference audio.")
         return "Error: Please upload a reference audio."
 
     language = detect_language_safely(text_input)
     emotion = "neutral"
     audio_output_path = "output.wav"
+    print(f"Detected Language: {language}")
 
     if sentiment_analyzer is not None:
         try:
+            print("Performing sentiment analysis...")
             if language == "en":
                 sentiment_result = sentiment_analyzer(text_input)[0]
                 emotion = map_sentiment_to_emotion(sentiment_result["label"])
+                print(f"English Sentiment: {sentiment_result}, Emotion: {emotion}")
             else:
                 sentiment_result = arabic_sentiment_analysis(text_input)
                 emotion = map_sentiment_to_emotion(sentiment_result, language="ar")
+                print(f"Arabic Sentiment: {sentiment_result}, Emotion: {emotion}")
         except Exception as e:
             print(f"Error during sentiment analysis: {e}")
             pass
+    else:
+        print("Sentiment analyzer not loaded.")
 
     try:
-        # Use the loaded 'model' for TTS
+        print("Attempting to generate audio...")
         model.tts_to_file(
             text=text_input,
             file_path=audio_output_path,
@@ -163,8 +175,10 @@ def tts_interface(text_input, speaker_audio):
             speaker_wav=speaker_audio,
             language=language
         )
+        print(f"Audio generated and saved to: {audio_output_path}")
         return audio_output_path
     except Exception as e:
+        print(f"Error during TTS: {e}")
         return f"Error during TTS: {e}"
 
 iface = gr.Interface(