Create app.py

app.py

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+import gradio as gr
+import whisper
+
+# Load the Whisper model (you can change to "base", "small", "medium", etc.)
+model = whisper.load_model("base")
+
+# Function to process the audio file and transcribe
+def transcribe_audio(audio):
+    # Transcribe the audio using Whisper
+    result = model.transcribe(audio)
+    return result['text']
+
+# Create a Gradio interface for audio transcription
+iface = gr.Interface(
+    fn=transcribe_audio,                # The function that will process the audio
+    inputs=gr.Audio(source="upload", type="filepath"),  # Upload audio input
+    outputs="text",                     # Output transcription as text
+    title="Whisper Audio Transcription",  # Title of the interface
+    description="Upload an audio file and get the transcription using OpenAI's Whisper model." # Description
+)
+
+# Launch the interface
+iface.launch()