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import gradio as gr
whisper_to_gpt = gr.Blocks.load(name="spaces/fffiloni/whisper-to-chatGPT")
tts = gr.Interface.load(name="spaces/StevenLimcorn/fastspeech2-TTS")
def infer(audio):
gpt_response = whisper_to_gpt(audio, "translate", fn_index=1)
audio_response = tts(gpt_response, "Fastspeech2 + Melgan", fn_index=0)
return audio_response
inputs = gr.Audio(source="microphone",type="filepath")
outputs = gr.Audio()
demo = gr.Interface(fn=infer, inputs=inputs, outputs=outputs)
demo.launch()
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