Update app.py

app.py

@@ -171,7 +171,7 @@ def process_query(query: str, first_turn: bool = False):
 
     process_log.append(f"Wisal: {result}")
     _save_process_log(process_log)
-    return intro + result
+    return result
 
 # Gradio Interface
 def main_pipeline_with_doc_and_history(query, doc_file, doc_type, history):
@@ -213,10 +213,13 @@ def main_pipeline_with_doc(query, doc_file, doc_type):
     else:
         return "Invalid document type."
 def pipeline_with_history(message, doc_file, doc_type, history):
+    if not message.strip():
+        return history, ""
     response = main_pipeline_with_doc(message, doc_file, doc_type)
     history = history + [[message, response]]
     return history, ""
 
+
 with gr.Blocks(title="Wisal Chatbot", theme=gr.themes.Base()) as demo:
     gr.Markdown("# 🤖 Wisal: Autism AI Assistant")
 
@@ -233,14 +236,14 @@ with gr.Blocks(title="Wisal Chatbot", theme=gr.themes.Base()) as demo:
         label="Document Type"
     )
 
-    send_btn.click(
-        fn=pipeline_with_history,
-        inputs=[user_input, doc_file, doc_type, chatbot],
-        outputs=[chatbot, user_input]
-    )
+send_btn.click(
+    fn=pipeline_with_history,
+    inputs=[user_input, doc_file, doc_type, chatbot],
+    outputs=[chatbot, user_input]
+)
 
-    # clear_btn = gr.Button("Clear Chat")
-    # clear_btn.click(lambda: [], outputs=[chatbot])
+    clear_btn = gr.Button("Clear Chat")
+    clear_btn.click(lambda: [], outputs=[chatbot])
 
     # with gr.Tab("📘 Domain Knowledge RAG"):
     #     RAG_Domain_know_doc.demo.render()