Update app.py

app.py

@@ -185,17 +185,17 @@ html_seeker2=''';
 update();
 </script>'''
 
-model_name = "voidful/wav2vec2-xlsr-multilingual-56"
-model0 = pipeline(task="automatic-speech-recognition",
-                 model=model_name)
+# model_name = "voidful/wav2vec2-xlsr-multilingual-56"
+# model0 = pipeline(task="automatic-speech-recognition",
+#                  model=model_name)
 
 
-model_name = "SLPL/Sharif-wav2vec2"
-model2 = pipeline(task="automatic-speech-recognition",
-                 model=model_name)
-model_name = "ghofrani/common8"
-model1 = pipeline(task="automatic-speech-recognition",
-                 model=model_name)
+# model_name = "SLPL/Sharif-wav2vec2"
+# model2 = pipeline(task="automatic-speech-recognition",
+#                  model=model_name)
+# model_name = "ghofrani/common8"
+# model1 = pipeline(task="automatic-speech-recognition",
+#                  model=model_name)
 
 import json
 def predict_fa(speech,model):
@@ -241,13 +241,13 @@ def g_rec(audio_File ,language):
 with gr.Blocks() as demo:
     gr.Markdown("multilingual Speech Recognition")
 
-    with gr.Tab("Persian models"):
-        inputs_speech_fa =gr.Audio(source="upload", type="filepath", optional=True,label="Upload your audio:")
-        inputs_model_fa =gr.inputs.Radio(label="Language", choices=["ghofrani/common8","SLPL/Sharif-wav2vec2","voidful/wav2vec2-xlsr-multilingual-56"])
-        output_transcribe1_fa = gr.Textbox(label="Transcribed text:")
-        output_transcribe1_fa1 = gr.Textbox(label="Transcribed text with timestamps:")
-        output_transcribe1_fa2 =gr.HTML(label="")
-        transcribe_audio1_fa= gr.Button("Submit")
+    # with gr.Tab("Persian models"):
+    #     inputs_speech_fa =gr.Audio(source="upload", type="filepath", optional=True,label="Upload your audio:")
+    #     inputs_model_fa =gr.inputs.Radio(label="Language", choices=["ghofrani/common8","SLPL/Sharif-wav2vec2","voidful/wav2vec2-xlsr-multilingual-56"])
+    #     output_transcribe1_fa = gr.Textbox(label="Transcribed text:")
+    #     output_transcribe1_fa1 = gr.Textbox(label="Transcribed text with timestamps:")
+    #     output_transcribe1_fa2 =gr.HTML(label="")
+    #     transcribe_audio1_fa= gr.Button("Submit")
     with gr.Tab("google"):
         gr.Markdown("set your speech language")
         inputs_speech1 =[