Update app.py

app.py

@@ -5,21 +5,15 @@ import whisper
 model = whisper.load_model("base")
 
 def transcribe(audio_file):
-    # Process the audio file
-    audio = whisper.load_audio(audio_file.name)
-    audio = whisper.pad_or_trim(audio)
-
-    # Make predictions
-    mel = whisper.log_mel_spectrogram(audio).to(model.device)
-    options = whisper.DecodingOptions(fp16=False)
-    result = whisper.decode(model, mel, options)
+    # Process the audio file directly with the file path
+    result = model.transcribe(audio_file)
 
     # Return the transcription
-    return result.text
+    return result['text']
 
 # Create the Gradio interface
 iface = gr.Interface(fn=transcribe,
-                     inputs=gr.Audio(sources="upload", type="filepath"),
+                     inputs=gr.inputs.Audio(sources="upload", type="file", label="Upload Audio"),
                      outputs="text",
                      title="Whisper Transcription",
                      description="Upload an audio file to transcribe it using OpenAI's Whisper model.")