Update app.py

app.py

@@ -48,10 +48,11 @@ def reformat_freq(sr, y):
         sr = 16000
     return sr, y
 
+#using english model
+acoustic_model = Model(hf_hub_download(repo_id = REPO_ID, filename = "english/model.tflite"))
+scorer_path =  hf_hub_download(repo_id = REPO_ID, filename = "english/huge-vocabulary.scorer")
+
 def stt_record(audio_record_buffer):
-    #using english model
-    acoustic_model = Model(hf_hub_download(repo_id = REPO_ID, filename = "english/model.tflite"))
-    scorer_path =  hf_hub_download(repo_id = REPO_ID, filename = "english/huge-vocabulary.scorer")
     _, y = reformat_freq(*audio_record_buffer)  
     scorer = True # use scorer
     if scorer:
@@ -190,7 +191,7 @@ def greet(character,your_voice,message,history):
   
 
 
-def greet_stt_to_tts(character,your_voice,message,history):
+def greet_stt_to_tts(character,your_voice,history):
   
   #gradios set_state/get_state had problems on embedded html!
   history = history or {"character": character, "message_history" : [] }
@@ -274,8 +275,7 @@ history =   {"character": "None", "message_history" : [] }
 
 interface_full = gr.Interface(fn=greet_stt_to_tts,
                         inputs=[gr.inputs.Dropdown(personality_choices),
-                                gr.inputs.Audio(source="microphone", type="filepath") ,
-                                "text", 
+                                gr.inputs.Audio(source="microphone", type="numpy", label="Record Audio", streaming=True) ,
                                 "state"], 
                         outputs=["html","state",gr.outputs.Audio(type="file")],      
                         css=css, title="Chat with Your Voice", description=description,article=article ,