Update app.py

app.py

@@ -16,6 +16,8 @@ default_lang = "en"
 engines = { default_lang: Model(default_lang) }
 
 def transcribe(audio):
+    if audio is None:
+        return ""
     lang = "en"
     model = engines[lang]
     text = model.stt_file(audio)[0]
@@ -83,13 +85,17 @@ def models(text, model="Llama 3B Service", seed=42):
         return output
 
 async def respond(audio, model, seed):
+    if audio is None:
+        return None
     user = transcribe(audio)
+    if not user:
+        return None
     reply = models(user, model, seed)
     communicate = edge_tts.Communicate(reply, voice="en-US-ChristopherNeural")
     with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
         tmp_path = tmp_file.name
         await communicate.save(tmp_path)
-    yield tmp_path
+    return tmp_path
 
 # Supported languages for seamless-expressive
 LANGUAGE_CODES = {
@@ -105,6 +111,9 @@ def translate_speech(audio_file, target_language):
     """
     Translate input speech (audio file) to the specified target language.
     """
+    if audio_file is None:
+        return None
+    
     language_code = LANGUAGE_CODES[target_language]
     output_file = "translated_audio.wav"
     
@@ -122,10 +131,10 @@ def translate_speech(audio_file, target_language):
 
     if os.path.exists(output_file):
         print(f"File created successfully: {output_file}")
+        return output_file
     else:
         print(f"File not found: {output_file}")
-
-    return output_file
+        return None
 
 DESCRIPTION = """ # <center><b>Hello, I am Optimus Prime your personal AI voice assistant</b></center>"""