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import gradio as gr
import requests
import urllib.request
from pydub import AudioSegment
import numpy as np
import os
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.mp3")
# code = random.randint(1,1000)
# generated_file = f"output{code}"
# filename = "output.mp3"
# if os.path.exists(filename):
# os.remove(filename)
# else:
# pass
command = f"ffmpeg -i {file_name} -vn -ar 44100 -ac 2 -b:a 192k output.mp3"
os.system(command)
return "output.mp3"
iface = gr.Interface(fn=function1, inputs="text", outputs=[gr.Audio(label="Audio",type="numpy")])
iface.launch() |