Update app.py

app.py

@@ -1,50 +1,44 @@
-import gradio as gr
-import requests, os, time
-import gradio_client
-
-print("--------- Gradio version:", gr.__version__, "----------")
-print("gradio-client version:", gradio_client.__version__)
+import os, time, requests, gradio as gr
+print("Gradio version:", gr.__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; calls will fail.")
+
 def transcribe_audio(file_path: str):
-    """
-    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:
-        resp = requests.post(ASR_API_URL, headers=headers, files=files)
+        with open(file_path, "rb") as f:
+            files = {"file": (os.path.basename(file_path), f, "audio/mpeg")}
+            resp = requests.post(ASR_API_URL, headers=headers, files=files, timeout=120)
     except Exception as e:
-        return f"❌ Error: {e}", ""
-    elapsed = time.time() - start
+        return f"❌ Error while calling ASR API: {e}", ""
 
+    elapsed = time.time() - start
     if resp.status_code == 200:
         data = resp.json()
         transcript = data.get("transcription", "No transcription returned.")
-        t = f"{data.get('time', elapsed):.2f} ثانیه"
-        return transcript, t
+        return transcript, f"{data.get('time', elapsed):.2f} ثانیه"
     else:
         return f"❌ Error: {resp.status_code}, {resp.text}", ""
 
 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-box{background:#F7FAFF;border:1px solid #e7e9ef;border-radius:14px;
-  padding:22px 18px;margin-top:12px;}
+.gooya-badge{display:inline-block;background:#224CA5;color:#fff;border-radius:16px;
+  padding:6px 16px;font-size:.97rem;margin-top:4px;}
 """
 
-with gr.Blocks(css=custom_css, title="Gooya ASR") as demo:
+with gr.Blocks(css=custom_css, title="Gooya ASR v1.4") as demo:
     gr.HTML(
         """
         <div id="gooya-title">
@@ -63,16 +57,18 @@ with gr.Blocks(css=custom_css, title="Gooya ASR") as demo:
 
     with gr.Row():
         with gr.Column():
-            audio = gr.Audio(
+            audio_input = 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"
+            processing_time_tb = gr.Textbox(
+                label="⏱️ Processing Time",
+                interactive=False,
+                elem_classes="gooya-badge",
             )
-            transcription = gr.Textbox(
+            transcription_tb = gr.Textbox(
                 label="📝 Transcription",
                 lines=5,
                 show_copy_button=True,
@@ -97,19 +93,16 @@ with gr.Blocks(css=custom_css, title="Gooya ASR") as demo:
 
     btn_transcribe.click(
         transcribe_audio,
-        inputs=audio,
-        outputs=[transcription, inference_time],
-        queue=True
+        inputs=audio_input,
+        outputs=[transcription_tb, processing_time_tb],
     )
 
-    # خروجی سوم (audio) هم باید reset شود، تا همه چیز مطابق gradio خوب پاک شود
     btn_clear.click(
         lambda: ("", "", None),
         inputs=None,
-        outputs=[transcription, inference_time, audio]
+        outputs=[transcription_tb, processing_time_tb, audio_input],
     )
 
 if __name__ == "__main__":
-    print("==== Gooya ASR Demo Launching... ====")
-    demo.queue(max_size=128) \
-        .launch(debug=True, share=False)
+    # show_api=False تا مسیر /api-info ساخته نشود و باگ برطرف گردد
+    demo.queue().launch(show_api=False, share=False)