Update chatbot_ui.py

chatbot_ui.py

@@ -2,40 +2,47 @@ import gradio as gr  # For building the chatbot UI
 import random  # For generating random responses
 
 # Chatbot response function
-def chatbot_response(user_input, chat_history):
-    response = ""
+def chatbot_response(user_input):
+    user_input = user_input.lower()
 
-    if "time management" in user_input.lower():
-        response = "Time management is key! Try creating a prioritized to-do list and setting specific study blocks."
-    elif "study tips" in user_input.lower():
+    if user_input.strip() == "":
+        return "Welcome! How can I assist you with your studies today?"
+
+    if "time management" in user_input:
+        return "Time management is key! Try creating a prioritized to-do list and setting specific study blocks."
+
+    elif "study tips" in user_input:
         tips = [
             "Take regular breaks while studying to stay focused.",
             "Use active recall and spaced repetition for better retention.",
             "Set a specific goal for each study session."
         ]
-        response = random.choice(tips)
-    elif "hello" in user_input.lower() or "hi" in user_input.lower():
-        response = "Hello! How can I help you with your studies today?"
+        return random.choice(tips)
+
+    elif "hello" in user_input or "hi" in user_input:
+        return "Hello! How can I help you with your studies today?"
+
     else:
-        response = "I'm here to assist with general academic questions. Feel free to ask about study tips, time management, or anything else!"
-    
-    chat_history.append(("You", user_input))
-    chat_history.append(("Chatbot", response))
-    return "", chat_history
+        return "I'm here to assist with general academic questions. Feel free to ask about study tips, time management, or anything else!"
 
-# Gradio interface with chat history
+# Gradio interface
 with gr.Blocks() as demo:
     gr.Markdown("# Study Assistance Chatbot")
     gr.Markdown("Welcome! Ask me anything related to your academic studies.")
-
-    chatbot = gr.Chatbot(label="Chatbot")
-    user_input = gr.Textbox(label="Enter your question here:", placeholder="Type your question...")
-    submit_button = gr.Button("Submit")
     
-    # Set an initial welcome message
-    chat_history = [("Chatbot", "Welcome! How can I assist you with your studies today?")]
-
-    submit_button.click(chatbot_response, inputs=[user_input, chatbot], outputs=[user_input, chatbot])
+    with gr.Row():
+        with gr.Column():
+            user_input = gr.Textbox(label="Enter your question here:", placeholder="Type your question...")
+            submit_button = gr.Button("Submit")
+        
+        with gr.Column():
+            chatbot_output = gr.Textbox(label="Chatbot Response", interactive=False)
+    
+    # Automatically simulate the first message
+    demo.load(lambda: "Welcome! How can I assist you with your studies today?", outputs=chatbot_output)
+    
+    submit_button.click(chatbot_response, inputs=user_input, outputs=chatbot_output)
 
 # Launch the Gradio app
 demo.launch()
+