app.py

import gradio as gr
import requests
import os
import time

# Retrieve ASR API URL and Authorization Token from environment variables
ASR_API_URL = os.getenv('ASR_API_URL')
AUTH_TOKEN = os.getenv('AUTH_TOKEN')

def transcribe_audio(file_path):
    if not ASR_API_URL or not AUTH_TOKEN:
        return "Error: Missing ASR_API_URL or AUTH_TOKEN.", None

    # Prepare headers and data
    headers = {
        'accept': 'application/json',
        'Authorization': f'Bearer {AUTH_TOKEN}',
    }
    files = {
        'file': (file_path, open(file_path, 'rb'), 'audio/mpeg'),
    }
    start_time = time.time()
    # Send POST request
    response = requests.post(ASR_API_URL, headers=headers, files=files)
    inference_time = time.time() - start_time  # in seconds

    # Check if response is successful
    if response.status_code == 200:
        transcription = response.json().get("transcription", "No transcription returned.")
        inference_time_str = f"{response.json().get('time', 'No inference time returned.')} seconds"
        return transcription, inference_time_str
    else:
        return f"Error: {response.status_code}, {response.text}", None


# Set up the Gradio interface
gr.Interface(
    fn=transcribe_audio,
    inputs=gr.Audio(type="filepath"),
    outputs=[
        gr.Textbox(label="Transcription"),
        gr.Textbox(label="Inference Time")
    ],
    title="Gooya v1.4 Persian ASR",
    description="""
The Gooya Persian ASR model is crazy fast and super [powerful](https://huggingface.co/spaces/navidved/open_persian_asr_leaderboard) when it comes to Persian ASR!
    \nJust drop in a Persian audio file, and boom—we’ll hit you with the best transcription you can get! 🚀🔥
    \n(The maximum time allowed for testing is 30 seconds.)
"""
).launch()