Update app.py

app.py

@@ -2,16 +2,10 @@ import gradio as gr
 
 #Get models
 #ASR model for input speech
-from transformers import pipeline
-
-pipe = pipeline(task="automatic-speech-recognition", 
-                model="facebook/hubert-large-ls960-ft")
-speech2text = gr.Interface.from_pipeline(pipe,
-                                         inputs=gr.inputs.Audio(label="Record Audio", type="file", source = "microphone"))
-#speech2text = gr.Interface.load("huggingface/facebook/hubert-large-ls960-ft",
-#                                inputs=gr.inputs.Audio(label="Record Audio", type="file", source = "microphone"))
+speech2text = gr.Interface.load("huggingface/facebook/hubert-large-ls960-ft",
+                                inputs=gr.inputs.Audio(label="Record Audio", type="file", source = "microphone"))
                                      
-#translates english to spanish text                      
+#translates English to Spanish text                      
 translator = gr.Interface.load("huggingface/Helsinki-NLP/opus-mt-en-es",
                                 outputs=gr.outputs.Textbox(label="English to Spanish Translated Text"))
 #TTS model for output speech