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import gradio as gr | |
import requests | |
import os | |
import time | |
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 "β Error: ASR_API_URL or AUTH_TOKEN is not set.", "" | |
headers = { | |
'accept': 'application/json', | |
'Authorization': f'Bearer {AUTH_TOKEN}', | |
} | |
files = { | |
'file': (file_path, open(file_path, 'rb'), 'audio/mpeg'), | |
} | |
start_time = time.time() | |
try: | |
response = requests.post(ASR_API_URL, headers=headers, files=files) | |
except Exception as e: | |
return f"β Error: {str(e)}", "" | |
inference_time = time.time() - start_time | |
if response.status_code == 200: | |
res = response.json() | |
transcription = res.get("transcription", "No transcription returned.") | |
inference_time_str = f"{res.get('time', inference_time):.2f} seconds" | |
return transcription, inference_time_str | |
else: | |
return f"β Error: {response.status_code}, {response.text}", "" | |
with gr.Blocks(css=""" | |
#gooya-title {color:white; background: linear-gradient(90deg, #224CA5 0%, #2CD8D5 100%); border-radius: 12px; padding:20px 10px;margin-bottom:12px;} | |
.gooya-badge {display:inline-block; background:#224CA5; color:#fff; border-radius:16px; padding:6px 16px; font-size:0.97rem; margin-top:4px;} | |
#gooya-box {background:#F7FAFF; border:1px solid #e7e9ef; border-radius:14px; padding:22px 18px; margin-top:12px;} | |
""") as demo: | |
gr.HTML("""<div id="gooya-title"> | |
<h1 style='margin-bottom:10px;font-weight:800;font-size:2rem;'>Gooya ASR <span style="font-size:1.1rem; font-weight:400; opacity:0.8;">v1.4</span></h1> | |
<p style='font-size:1.12rem; margin-bottom:2px;'>High-performance Persian Speech-to-Text</p> | |
<p style='font-size:0.98rem; color:#c6e8fa'>Upload or record a Persian audio file (max 30s) and instantly receive the transcription.</p> | |
</div>""") | |
with gr.Row(): | |
with gr.Column(): | |
audio = gr.Audio( | |
label="Audio Input (Upload or record, up to 30s)", | |
type="filepath", | |
show_label=True, | |
sources=["upload", "microphone"] | |
) | |
with gr.Column(): | |
inference_time = gr.Label(label="β±οΈ Processing Time", elem_classes="gooya-badge") | |
transcription = gr.Textbox( | |
label="π Transcription", | |
lines=5, | |
show_copy_button=True, | |
placeholder="The transcription will appear here...", | |
elem_id="gooya-textbox" | |
) | |
with gr.Row(): | |
submit_btn = gr.Button("Transcribe", variant="primary") | |
clear_btn = gr.Button("Clear", variant="secondary") | |
gr.Markdown(""" | |
**Instructions:** | |
- Maximum audio length: **30 seconds** | |
- Input audio should be in Persian. | |
- The transcription and processing time will be displayed instantly. | |
For performance benchmarks, visit: [Persian ASR Leaderboard](https://huggingface.co/spaces/navidved/open_persian_asr_leaderboard) | |
""") | |
submit_btn.click( | |
transcribe_audio, | |
inputs=audio, | |
outputs=[transcription, inference_time] | |
) | |
clear_btn.click( | |
lambda: ("", ""), | |
None, | |
[transcription, inference_time, audio] | |
) | |
demo.launch(share=True) |