Update app.py

app.py

@@ -1,13 +1,19 @@
 import gradio as gr
 from transformers import pipeline
 
-p = pipeline('wannaphong/wav2vec2-large-xlsr-53-th-cv8-deepcut')
+# Specify the task for the pipeline
+p = pipeline('text-generation', model='wannaphong/wav2vec2-large-xlsr-53-th-cv8-deepcut')
 
 def transcribe(audio):
-    text = p(audio)["text"]
+    # Pass the audio file to the pipeline and obtain the output
+    text = p(audio)["generated_text"]
     return text
     
+# Create a GraudioInput object for the audio input
+audio_input = gr.Audio(source="microphone", type="filepath")
+
+# Use the GraudioInput object as the value for the inputs argument
 gr.Interface(
     fn=transcribe, 
-    inputs=gr.Audio(source="microphone", type="filepath"), 
+    inputs=audio_input, 
     outputs="text").launch()