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app.py

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+# load the pipeline from Hugginface Hub
+import gradio as gr
+from pyannote.audio import Pipeline
+pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization")
+
+def speakerDiarization(audio):
+  # apply the pipeline to an audio file
+  diarization = pipeline(audio)
+  # dump the diarization output to disk using RTTM format
+  return diarization
+
+gr.Interface(speakerDiarization,
+             inputs = gr.inputs.Audio(source="microphone", type="filepath", optional=True, label="Please record your voice"),
+             outputs = gr.outputs.Textbox(label="Output Text"),
+             title="ASR using Wav2Vec 2.0",
+             description = "This application displays transcribed text for given audio input",
+             examples = [["TestAudio1.wav"]], theme="grass").launch()