| 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() | |