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import gradio as gr
import requests
import urllib.request
from pydub import AudioSegment
import numpy as np
def function1(prompt):
response = requests.post("https://tommy24-testing3.hf.space/run/predict", json={
"data": [
prompt,
]}).json()
data = response["data"][0]
response = requests.post("https://matthijs-speecht5-tts-demo.hf.space/run/predict", json={
"data": [
data,
"KSP (male)",
]
}).json()
data = response["data"][0]["name"]
data = "https://matthijs-speecht5-tts-demo.hf.space/file="+data
file_name, headers = urllib.request.urlretrieve(data, "speech.wav")
sound = AudioSegment.from_wav(file_name)
sound.export("speech.mp3", format="mp3")
audio_array = np.array(sound.get_array_of_samples())
return audio_array
iface = gr.Interface(fn=function1, inputs="text", outputs=gr.Audio(label="Audio", type="numpy"))
iface.launch()
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