Update app.py

app.py

@@ -484,19 +484,19 @@ with gr.Blocks(css=custom_css) as iface:
         
         # status_text = gr.Markdown("", elem_classes="rtl-text status-text")
         
-#         def on_submit(question):
-#             # Retourne trois valeurs : réponse, contexte et statut
-#             result, context = process_question(question)
-#             status = "تمت معالجة السؤال بنجاح"  # "Question processed successfully"
-#             return result, context, status
+        # def on_submit(question):
+        #     # Retourne trois valeurs : réponse, contexte et statut
+        #     result, context = process_question(question)
+        #     status = "تمت معالجة السؤال بنجاح"  # "Question processed successfully"
+        #     return result, context, status
         
-#         submit_btn.click(
-#             fn=on_submit,
-#             inputs=input_text,
-#             outputs=[answer_box, context_box],
-#             api_name="predict",
-#             queue=True
-#         )
+        # submit_btn.click(
+        #     fn=on_submit,
+        #     inputs=input_text,
+        #     outputs=[answer_box, context_box],
+        #     api_name="predict",
+        #     queue=True
+        # )
 
 # if __name__ == "__main__":
 #     iface.launch(
@@ -507,17 +507,26 @@ with gr.Blocks(css=custom_css) as iface:
 #         show_error=True
 #     )
 
-def on_submit(question):
-    # Retourne trois valeurs : réponse, contexte et statut
-    for part in process_question(question):
-        answer_box.value += part
-        yield part, context, "Traitement en cours..."
-
-submit_btn.click(
-    fn=on_submit,
-    inputs=input_text,
-    outputs=[answer_box, context_box],
-    api_name="predict",
-    queue=True
-) 
+        def on_submit(question):
+            # Retourne trois valeurs : réponse, contexte et statut
+            for part in process_question(question):
+                answer_box.value += part
+                yield part, context, "Traitement en cours..."
+
+        submit_btn.click(
+            fn=on_submit,
+            inputs=input_text,
+            outputs=[answer_box, context_box],
+            api_name="predict",
+            queue=True
+        ) 
+
+if __name__ == "__main__":
+    iface.launch(
+        share=True,
+        server_name="0.0.0.0",
+        server_port=7860,
+        max_threads=3,
+        show_error=True
+    )