app.py

import gradio as gr
from gradio_client import Client, handle_file
import os

client = Client(f"ahmedJaafari/{os.getenv('API_ENDPOINT')}", hf_token=os.getenv("API_KEY"))

def classify_audio(audio, choice):
    # Simulating the classification result based on audio
    result = client.predict(
        audio=handle_file(audio),
        choice=choice,
        api_name="/predict"
    )
    transcript = result
    
    return transcript

iface = gr.Interface(
    fn=classify_audio,
    inputs=[
        gr.Audio(type="filepath", label="Record Audio"),
        gr.Radio(["Normal", "Advanced"], label="Select Model")
    ],
    outputs=[
        gr.Textbox(label="Transcript")  # Transcript of the audio
    ],
    title="Vochai - Transcription",
    description=(
        "Developed by Vochai. For more information, visit [Voch.ai](https://voch.ai) or contact us at [email protected].\n\n"
        "N.B. This Tool is for demonstration purposes only, the results may not be 100% accurate and the speed is slower than usual."
    ),
)

iface.launch()