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# import gradio library
import gradio as gr
import numpy as np
import base64
import time
import gradio_client as grc
# client = grc.InterfaceDescriptionClient("https://gradio.app")
# define a function that takes input and returns output
client = grc.Client("facebook/seamless_m4t")
print(client.view_api(all_endpoints=True))
job = client.submit(
"S2TT",
"file",
None,
"sample_input.mp3",
"",
"French",
"English",
api_name="/run",
)
while job.done() == False :
time.sleep(1)
gr.Markdown(job.result())
# return out
# # print(client.view_api(all_endpoints=True))
# def convert_image_to_required_format(audio):
# sr, data = audio
# return str(type(sr))+str(type(data))
# # create a gradio interface
# iface = gr.Interface(
# fn=sound_to_text,
# inputs=[gr.Audio()],
# outputs=[gr.Markdown(label="Output Text")],
# )
# iface.launch()
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