app.py

import gradio as gr
import numpy as np
from SpeechIntent import SpeechTranslate
from scipy.io.wavfile import write


speech_intent = SpeechTranslate()

def numpy_to_wavfile(audio,name="audio.wav"):
    write(name, audio[0], audio[1])
    return name

def reply_intent(audioarray,intent_labels):
    print(intent_labels,audioarray)
    audiofile = numpy_to_wavfile(audioarray)
    reply_audio,intent = speech_intent.process(audiofile,intent_labels)
    numpy_to_wavfile((reply_audio,22050),"output.wav")
    return reply_audio,intent

reply_intent_interface = gr.Interface(
    fn=reply_intent,
    inputs=[gr.Audio(source="microphone",type="numpy",label="Audio"),gr.Textbox(["None","greeting","goodbye","thanks","yes","no","affirmative","negative","request","statement","question","command","other"],label="Intent")],
    outputs=[gr.Audio(type="numpy",label="Reply"),gr.Textbox(label="Intent")],
    title="Auto-intent",
    description="Auto-intent",
    allow_flagging=False,
    allow_screenshot=False,
)

reply_intent_interface.launch(share=True)