Update app.py

app.py

@@ -1,27 +1,6 @@
 import gradio as gr
-import pandas as pd
-import io
 
-# Load the model
-model = gr.load("models/luigisaetta/whisper-atcosim3")
+gr.load("models/luigisaetta/whisper-atcosim3").launch()
 
-# Function to process the model output and convert to CSV
-def process_output(audio):
-    # Get the transcription from the model
-    transcription = model(audio)
-    
-    # Assuming the transcription includes timestamps in some way
-    # If not, you would need to generate timestamps (this depends on your model's output format)
-    # Here, we assume the transcription is a list of dictionaries with 'start', 'end', and 'text'
-    
-    # Convert the transcription to a DataFrame
-    df = pd.DataFrame(transcription)
-    
-    # Create a CSV file in memory
-    csv_buffer = io.StringIO()
-    df.to_csv(csv_buffer, index=False)
-    csv_buffer.seek(0)
-    
-    return csv_buffer.getvalue()