import gradio as gr import os import torch import io from pyannote.audio import Pipeline from pyannote.audio import Audio from pyannote.audio.pipelines.utils.hook import TimingHook from pyannote.core import Segment pipeline = Pipeline.from_pretrained( "pyannote/speaker-diarization-3.1", use_auth_token=os.environ['api']) def greet(name, intensity): return "Hello, " + name + "!" * int(intensity) demo = gr.Interface( fn=greet, inputs=["text", "slider"], outputs=["text"], ) demo.launch()