Update app.py

app.py

@@ -2,8 +2,14 @@ import gradio as gr
 
 #Get models
 #ASR model for input speech
-speech2text = gr.Interface.load("huggingface/facebook/hubert-large-ls960-ft",
-                                inputs=gr.inputs.Audio(label="Record Audio", type="file", source = "microphone"))
+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"))
                                      
 #translates english to spanish text                      
 translator = gr.Interface.load("huggingface/Helsinki-NLP/opus-mt-en-es",