File size: 336 Bytes
0fb9949
 
 
93523d1
1278823
0fb9949
3ad86d1
 
 
d16e7d6
2271f6b
aba5e88
 
1
2
3
4
5
6
7
8
9
10
11
12
13
import gradio as gr
from transformers import pipeline
import time
import os
import torch

from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer, pipeline
import numpy as np

iface = gr.load(name="mutisya/transcribe-api", src="spaces")

if __name__ == "__main__":
    iface.queue(api_open=False).launch(show_api=False)