Update app.py

app.py

@@ -1,3 +1,37 @@
 import gradio as gr
+import pandas as pd
+import io
 
-gr.load("models/luigisaetta/whisper-atcosim3").launch()
+# Load the model
+model = gr.load("models/luigisaetta/whisper-atcosim3")
+
+# 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()
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=process_output, 
+    inputs=gr.Audio(source="microphone", type="file"), 
+    outputs="file", 
+    title="Audio Transcription to CSV",
+    description="Upload an audio file and get the transcription in a CSV format with timestamps."
+)
+
+# Launch the app
+iface.launch()