speak-api-proxy / app.py
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import gradio as gr
from transformers import pipeline
import time
import os
import torch
from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer, pipeline
import numpy as np
auth_token = os.environ.get("key")
os.environ["HUGGING_FACE_HUB_TOKEN"] = auth_token
iface = gr.load(name="mutisya/transcribe-api", hf_token=auth_token, src="spaces")
if __name__ == "__main__":
iface.queue(api_open=False).launch(show_api=False)