Update app.py

app.py

@@ -1,9 +1,24 @@
 import gradio as gr
+from transformers import pipeline
 
-# Load the model from Hugging Face and hide the tagline using CSS
-demo = gr.Interface.load(
-    "models/speechbrain/mtl-mimic-voicebank", 
-    css=".footer {display: none !important;}"
+# Load the model separately
+model = pipeline("automatic-speech-recognition", model="speechbrain/mtl-mimic-voicebank")
+
+# Define a function to make predictions using the loaded model
+def transcribe(audio):
+    return model(audio)["text"]
+
+# Define a CSS string to hide the footer
+custom_css = """
+footer {visibility: hidden;}
+"""
+
+# Create the Gradio interface
+demo = gr.Interface(
+    fn=transcribe,        # Function to process input
+    inputs=gr.Audio(source="microphone", type="filepath"),  # Take audio input
+    outputs="text",       # Display output as text
+    css=custom_css        # Hide the Gradio footer
 )
 
 # Launch the interface