Update chatbot_ui.py

chatbot_ui.py

@@ -1,27 +1,46 @@
-import gradio as gr
-
-def chatbot_response(user_input):
-    if user_input.lower() in ["hello", "hi"]:
-        return "Hello! How can I help you with your studies today?"
-    elif "supervised learning" in user_input.lower():
-        return "Supervised learning is a machine learning approach where models are trained using labeled data."
-    else:
-        return "I'm here to assist you with your academic questions. Please ask me anything!"
-
-with gr.Blocks() as demo:
-    gr.Markdown("# Study Assistance Chatbot")
-    gr.Markdown("Welcome! Ask me anything related to your academic studies.")
-    
-    with gr.Row():
-        with gr.Column():
-            user_input = gr.Textbox(label="Enter your question here:")
-            submit_button = gr.Button("Submit")
-        
-        with gr.Column():
-            chatbot_output = gr.Textbox(label="Chatbot Response", interactive=False)
-    
-    submit_button.click(chatbot_response, inputs=user_input, outputs=chatbot_output)
-
-demo.launch()
-
-
+import gradio as gr  # For building the chatbot UI
+import random  # For generating random responses
+
+# Chatbot response function
+def chatbot_response(user_input):
+    user_input = user_input.lower()
+
+    if user_input.strip() == "":  # Show the welcome message for empty input
+        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."
+        ]
+        return random.choice(tips)  # Randomly pick a study tip
+
+    elif "hello" in user_input or "hi" in user_input:
+        return "Hello! How can I help you with your studies today?"
+
+    else:
+        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 gr.Blocks() as demo:
+    gr.Markdown("# Study Assistance Chatbot")
+    gr.Markdown("Welcome! Ask me anything related to your academic studies.")
+    
+    with gr.Row():
+        with gr.Column():
+            user_input = gr.Textbox(label="Enter your question here:")
+            submit_button = gr.Button("Submit")
+        
+        with gr.Column():
+            chatbot_output = gr.Textbox(label="Chatbot Response", interactive=False)
+    
+    submit_button.click(chatbot_response, inputs=user_input, outputs=chatbot_output)
+
+# Launch the Gradio app
+demo.launch()
+
+