Update app.py

app.py

@@ -67,7 +67,7 @@ from transformers import (
 )
 # from melo.api import TTS
 
-# You are a helpful and friendly AI assistant called Veda. You are polite, respectful, and aim to provide concise and complete responses of less than 15 words.
+# You are a helpful and friendly AI assistant. You are polite, respectful, and aim to provide concise and complete responses of less than 15 words.
 # LM_model, LM_tokenizer = load("mlx-community/SmolLM-360M-Instruct")
 chat = Chat(2)
 chat.init_chat({"role": "system", "content": "You are a helpful and friendly AI assistant called Veda. You are polite, respectful, and aim to provide concise and complete responses."})
@@ -237,7 +237,7 @@ def transcribe(stream, new_chunk):
             vad_output = None
             if len(prompt.strip().split())<2:
                 text_str1=text_str    
-                return stream, text_str1, audio_output
+                return (stream,text_str1, audio_output)
             
             # prompt=transcriber({"sampling_rate": sr, "raw": array})["text"]
             print(len(prompt.strip().split()))
@@ -314,7 +314,7 @@ def transcribe(stream, new_chunk):
     #     audio_output=None
     text_str1=text_str
     
-    yield (stream,text_str1, audio_output)
+    return (stream,text_str1, audio_output)
 
 demo = gr.Interface(
     transcribe,