Update app.py

app.py

@@ -7,27 +7,19 @@ ASR_API_URL = os.getenv("ASR_API_URL")
 AUTH_TOKEN  = os.getenv("AUTH_TOKEN")
 
 def transcribe_audio(file_path: str):
-    """
-    دریافت مسیر فایل صوتی (به‌دلیل type='filepath') و برگرداندن
-    رونوشت و مدت زمان پردازش.
-    """
     if not ASR_API_URL or not AUTH_TOKEN:
         return "❌ 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()
     try:
         resp = requests.post(ASR_API_URL, headers=headers, files=files)
     except Exception as e:
         return f"❌ Error: {e}", ""
-
     elapsed = time.time() - start
-
     if resp.status_code == 200:
         data = resp.json()
         transcript = data.get("transcription", "No transcription returned.")
@@ -36,79 +28,21 @@ def transcribe_audio(file_path: str):
     else:
         return f"❌ Error: {resp.status_code}, {resp.text}", ""
 
-custom_css = """
-#gooya-title{color:#fff;
-  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:.97rem;margin-top:4px;}
-#gooya-box{background:#F7FAFF;border:1px solid #e7e9ef;border-radius:14px;
-  padding:22px 18px;margin-top:12px;}
-"""
-
-with gr.Blocks(css=custom_css) 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:.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:.98rem;color:#c6e8fa'>
-              Upload or record a Persian audio file (max 30 s) and instantly receive the transcription.
-          </p>
-        </div>
-        """
-    )
-
-    with gr.Row():
-        with gr.Column():
-            audio = gr.Audio(
-                label="Audio Input (upload or record, up to 30 s)",
-                type="filepath",
-                sources=["upload", "microphone"],
-            )
-        with gr.Column():
-            inference_time = gr.Label(
-                label="⏱️ Processing Time", elem_classes="gooya-badge"
-            )
-            transcription = gr.Textbox(
-                label="📝 Transcription",
-                lines=5,
-                show_copy_button=True,
-                placeholder="The transcription will appear here...",
-                elem_id="gooya-textbox",
-            )
-
-    with gr.Row():
-        btn_transcribe = gr.Button("Transcribe", variant="primary")
-        btn_clear      = gr.Button("Clear",      variant="secondary")
-
-    gr.Markdown(
-        """
-**دستورالعمل‌ها**  
-- حداکثر طول صدا: **۳۰ ثانیه**  
-- صدا باید فارسی باشد.  
-- نتیجه‌ی رونویسی و زمان پردازش بلافاصله نمایش داده می‌شود.  
-
-برای مشاهده بنچمارک‌ها به [Persian ASR Leaderboard](https://huggingface.co/spaces/navidved/open_persian_asr_leaderboard) مراجعه کنید.
-"""
-    )
-
-    btn_transcribe.click(
-        transcribe_audio,
-        inputs=audio,
-        outputs=[transcription, inference_time],
-    )
-
-    btn_clear.click(
-        lambda: ("", "", None),
-        inputs=None,
-        outputs=[transcription, inference_time, audio],
+def main():
+    iface = gr.Interface(
+        fn=transcribe_audio,
+        inputs=gr.Audio(label="Audio Input (upload or record, up to 30 s)", type="filepath", sources=["upload", "microphone"]),
+        outputs=[
+            gr.Textbox(label="📝 Transcription", lines=5, show_copy_button=True, placeholder="The transcription will appear here..."),
+            gr.Label(label="⏱️ Processing Time")
+        ],
+        title="Gooya ASR v1.4",
+        description="High-performance Persian Speech-to-Text. Upload or record a Persian audio file (max 30 s) and instantly receive the transcription.",
+        examples=[],
+        cache_examples=False,
+        allow_flagging="never"
     )
+    iface.launch()
 
 if __name__ == "__main__":
-    demo.queue()     
-    demo.launch(share=True)
+    main()