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| 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 | |
| headers = { | |
| 'Accept': 'application/json', | |
| 'Authorization': f'Bearer {AUTH_TOKEN}', | |
| } | |
| try: | |
| with open(file_path, 'rb') as audio_file: | |
| files = {'file': (file_path, audio_file, 'audio/mpeg')} | |
| start_time = time.time() | |
| response = requests.post(ASR_API_URL, headers=headers, files=files) | |
| elapsed_time = time.time() - start_time | |
| if response.ok: | |
| data = response.json() | |
| transcription = data.get('transcription', 'No transcription returned.') | |
| inference_time = f"{data.get('time', round(elapsed_time, 2))} seconds" | |
| return transcription, inference_time | |
| else: | |
| return f"Error: {response.status_code}, {response.text}", None | |
| except Exception as e: | |
| return f"Exception occurred: {str(e)}", 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() | |