Update app.py

app.py

@@ -1,59 +1,50 @@
-import os, time, requests, gradio as gr
+import gradio as gr
+import requests, os, time
+import gradio_client
 
-# -------------------- تنظیمات پایه --------------------
-print("Gradio version:", gr.__version__)
+print("--------- Gradio version:", gr.__version__, "----------")
+print("gradio-client version:", gradio_client.__version__)
 
 ASR_API_URL = os.getenv("ASR_API_URL")
 AUTH_TOKEN  = os.getenv("AUTH_TOKEN")
 
-if not ASR_API_URL or not AUTH_TOKEN:
-    print("⚠️  Warning: ASR_API_URL or AUTH_TOKEN is not set. "
-          "Transcription will fail until they are provided.")
-
-# -------------------- توابع کمکی --------------------
 def transcribe_audio(file_path: str):
     """
-    ورودی: مسیر فایل (به خاطر type='filepath')
-    خروجی: متن رونویسی و زمان پردازش یا پیام خطا
+    دریافت مسیر فایل صوتی (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:
-        with open(file_path, "rb") as f:
-            files = {"file": (os.path.basename(file_path), f, "audio/mpeg")}
-            response = requests.post(ASR_API_URL, headers=headers, files=files, timeout=120)
+        resp = requests.post(ASR_API_URL, headers=headers, files=files)
     except Exception as e:
-        return f"❌ Error while calling ASR API: {e}", ""
-
+        return f"❌ Error: {e}", ""
     elapsed = time.time() - start
 
-    if response.status_code == 200:
-        data = response.json()
+    if resp.status_code == 200:
+        data = resp.json()
         transcript = data.get("transcription", "No transcription returned.")
-        processing_time = f"{data.get('time', elapsed):.2f} ثانیه"
-        return transcript, processing_time
+        t = f"{data.get('time', elapsed):.2f} ثانیه"
+        return transcript, t
     else:
-        return f"❌ Error: {response.status_code}, {response.text}", ""
+        return f"❌ Error: {resp.status_code}, {resp.text}", ""
 
-# -------------------- رابط کاربری --------------------
 custom_css = """
-#gooya-title{color:#fff;background:linear-gradient(90deg,#224CA5 0%,#2CD8D5 100%);
+#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-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, title="Gooya ASR v1.4") as demo:
-    # عنوان
+with gr.Blocks(css=custom_css, title="Gooya ASR") as demo:
     gr.HTML(
         """
         <div id="gooya-title">
@@ -70,18 +61,18 @@ with gr.Blocks(css=custom_css, title="Gooya ASR v1.4") as demo:
         """
     )
 
-    # ورودی/خروجی‌ها
     with gr.Row():
         with gr.Column():
-            audio_input = gr.Audio(
+            audio = gr.Audio(
                 label="Audio Input (upload or record, up to 30 s)",
                 type="filepath",
                 sources=["upload", "microphone"],
             )
         with gr.Column():
-            processing_time_lbl = gr.Label(label="⏱️ Processing Time",
-                                           elem_classes="gooya-badge")
-            transcription_tb = gr.Textbox(
+            inference_time = gr.Label(
+                label="⏱️ Processing Time", elem_classes="gooya-badge"
+            )
+            transcription = gr.Textbox(
                 label="📝 Transcription",
                 lines=5,
                 show_copy_button=True,
@@ -89,7 +80,6 @@ with gr.Blocks(css=custom_css, title="Gooya ASR v1.4") as demo:
                 elem_id="gooya-textbox",
             )
 
-    # دکمه‌ها
     with gr.Row():
         btn_transcribe = gr.Button("Transcribe", variant="primary")
         btn_clear      = gr.Button("Clear",      variant="secondary")
@@ -105,20 +95,21 @@ with gr.Blocks(css=custom_css, title="Gooya ASR v1.4") as demo:
 """
     )
 
-    # اتصال توابع به دکمه‌ها
     btn_transcribe.click(
         transcribe_audio,
-        inputs=audio_input,
-        outputs=[transcription_tb, processing_time_lbl],
+        inputs=audio,
+        outputs=[transcription, inference_time],
+        queue=True
     )
 
+    # خروجی سوم (audio) هم باید reset شود، تا همه چیز مطابق gradio خوب پاک شود
     btn_clear.click(
         lambda: ("", "", None),
         inputs=None,
-        outputs=[transcription_tb, processing_time_lbl, audio_input],
+        outputs=[transcription, inference_time, audio]
     )
 
-# -------------------- اجرای برنامه --------------------
 if __name__ == "__main__":
-    # فقط یک فراخوانی برای queue و launch همانند کد مرجع
-    demo.queue().launch(debug=True, share=False)
+    print("==== Gooya ASR Demo Launching... ====")
+    demo.queue(max_size=128) \
+        .launch(debug=True, share=False)