| import gradio as gr | |
| import urllib.request | |
| import requests | |
| from pydub import AudioSegment | |
| def function1(prompt): | |
| response = requests.post("https://matthijs-speecht5-tts-demo.hf.space/run/predict", json={ | |
| "data": [ | |
| prompt, | |
| "KSP (male)", | |
| ] | |
| }).json() | |
| data = response["data"][0]["name"] | |
| data = "https://matthijs-speecht5-tts-demo.hf.space/file="+data | |
| speech = urllib.request.urlretrieve(data, "speech.wav") | |
| audio = AudioSegment.from_wav(data).export("output.mp3", format="mp3") | |
| return audio | |
| iface = gr.Interface(fn=function1, inputs="text", outputs=[gr.Audio(label="Audio")]) | |
| iface.launch() |