Update app.py

app.py

@@ -1,34 +1,7 @@
 import gradio as gr
-import torch
-from sgmse.model import SGMSENoiseReducer  # Adjust import as per your model structure
-import soundfile as sf
 
-# Load your pre-trained model
-model = SGMSENoiseReducer.from_pretrained("sp-uhh/speech-enhancement-sgmse")
+def greet(name):
+    return "Hello " + name + "!!"
 
-# Define a function to process the uploaded file
-def enhance_speech(noisy_audio):
-    # Load noisy audio file
-    noisy, sr = sf.read(noisy_audio)
-
-    # Apply your model to enhance the speech
-    enhanced_audio = model.enhance(noisy, sr)
-
-    # Save enhanced audio to a temporary file
-    output_file = "enhanced_output.wav"
-    sf.write(output_file, enhanced_audio, sr)
-
-    return output_file
-
-# Set up the Gradio interface
-interface = gr.Interface(
-    fn=enhance_speech,
-    inputs=gr.Audio(source="upload", type="filepath"),
-    outputs=gr.Audio(type="file"),
-    title="SGMSE Speech Enhancement",
-    description="Upload a noisy audio file and download the enhanced (clean) version."
-)
-
-# Launch the interface
-if __name__ == "__main__":
-    interface.launch()
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+demo.launch()