File size: 895 Bytes
e695abb 303db20 553fba6 cbee267 e695abb 303db20 dd250a3 303db20 dd250a3 303db20 c3ee49d 8ea6338 c3ee49d 8ea6338 c3ee49d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 |
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.mp3")
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() |