Update app.py

app.py

@@ -187,51 +187,21 @@ import tempfile
 import soundfile as sf
 from gradio_client import Client
 def add_message(history, message):
-   
+    for x in message["files"]:
+        history.append(((x,), None))
     if message["text"] is not None:
-        # sr,response_audio = genrate_speech(message["text"],'asg2024/vits-ar-sa-huba')
-        # with tempfile.TemporaryFile() as temp_file:
-        #     filename='temp'+str(temp_file.name)+'.wav'
-        #     sf.write(filename,response_audio, sr,format='WAV')
-        #     user_msg1 = {"text": message["text"],
-        #         "files": [{"file":FileData(path=filename)}]}
-        
-        
-        # txt_ai=get_answer_ai(message["text"] )
-        # sr,response_audio = genrate_speech(txt_ai,'asg2024/vits-ar-sa-huba')
-        # with tempfile.TemporaryFile() as temp_file:
-        #     filename='temp'+str(temp_file.name)+'.wav'
-        #     sf.write(filename,response_audio, sr,format='WAV')
-        #     bot_msg1 = {"text": txt_ai,
-        #         "files": [{"file":FileData(path=filename)}]}
-        client = Client("asg2024/wasm-speeker-sa")
-        result = client.predict(
-                text="سلام عليكم",
-                model_choice="asg2024/vits-ar-sa-huba",
-                api_name="/process_audio"
-        )
-        user_msg1 = {"text": message["text"],
-                "files": [{"file":FileData(path=result[0])}]}
-        bot_msg1 = {"text": result[2],
-                "files": [{"file":FileData(path=result[1])}]}
-        history.append([user_msg1, bot_msg1])
-        
-        # history.append((gr.Audio(response_audio,scale=1,streaming=True),None)) 
+        history.append((message["text"], None))
+        response_audio = genrate_speech(message["text"],'asg2024/vits-ar-sa-huba')
+        history.append((gr.Audio(response_audio,scale=1,streaming=True),None)) 
     return history
 
 def bot(history,message):
-    # if message["text"] is not None:
-    #    txt_ai=get_answer_ai(message["text"] )
-    #    sr,response_audio = genrate_speech(txt_ai,'asg2024/vits-ar-sa-huba')
-    #    with tempfile.NamedTemporaryFile(delete=True) as temp_file:
-    #         filename=temp_file.name+'.wav'
-    #         sf.write(filename,response_audio, sr,format='WAV')
-    #         bot_msg1 = {"text": txt_ai,
-    #             "files": [{"file":FileData(path=filename)}]}
-    #         history[-1][1]=bot_msg1
-       
-       
-       
+    if message["text"] is not None:
+       txt_ai=get_answer_ai(message["text"] )
+       history[-1][1]=txt_ai#((None,txt_ai))
+       response_audio = genrate_speech(txt_ai,'asg2024/vits-ar-sa-huba')
+       history.append((None,gr.Audio(response_audio,scale=1,streaming=True))) 
+    
     return history, gr.MultimodalTextbox(value=None, interactive=False)
 
 fig = random_plot()