MissieMcCown commited on
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b09c682
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1 Parent(s): ceda1d7

Update chatbot_ui.py

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  1. chatbot_ui.py +33 -10
chatbot_ui.py CHANGED
@@ -1,21 +1,44 @@
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  import gradio as gr # For building the chatbot UI
 
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- # Simplified chatbot response function
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  def chatbot_response(user_input):
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- return "You said: " + user_input
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- # Gradio interface setup
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  with gr.Blocks() as demo:
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  gr.Markdown("# Study Assistance Chatbot")
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- gr.Markdown("Ask me anything related to your academic studies.")
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- chatbot = gr.Chatbot() # Chat history UI
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- user_input = gr.Textbox(label="Enter your question here:", placeholder="Type your question...") # Textbox for user input
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- submit_button = gr.Button("Submit") # Submit button for user input
 
 
 
 
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- # Submit action - to update chat with response
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- submit_button.click(chatbot_response, inputs=user_input, outputs=chatbot)
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  # Launch the Gradio app
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  demo.launch()
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-
 
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  import gradio as gr # For building the chatbot UI
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+ import random # For generating random responses
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+ # Chatbot response function
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  def chatbot_response(user_input):
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+ user_input = user_input.lower()
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+ if user_input.strip() == "": # Show the welcome message for empty input
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+ return "Welcome! How can I assist you with your studies today?"
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+
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+ if "time management" in user_input:
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+ return "Time management is key! Try creating a prioritized to-do list and setting specific study blocks."
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+
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+ elif "study tips" in user_input:
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+ tips = [
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+ "Take regular breaks while studying to stay focused.",
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+ "Use active recall and spaced repetition for better retention.",
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+ "Set a specific goal for each study session."
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+ ]
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+ return random.choice(tips) # Randomly pick a study tip
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+
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+ elif "hello" in user_input or "hi" in user_input:
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+ return "Hello! How can I help you with your studies today?"
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+
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+ else:
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+ return "I'm here to assist with general academic questions. Feel free to ask about study tips, time management, or anything else!"
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+
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+ # Gradio interface
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  with gr.Blocks() as demo:
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  gr.Markdown("# Study Assistance Chatbot")
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+ gr.Markdown("Welcome! Ask me anything related to your academic studies.")
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+ with gr.Row():
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+ with gr.Column():
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+ user_input = gr.Textbox(label="Enter your question here:")
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+ submit_button = gr.Button("Submit")
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+
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+ with gr.Column():
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+ chatbot_output = gr.Textbox(label="Chatbot Response", interactive=False, value="Welcome! How can I assist you with your studies today?")
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+ submit_button.click(chatbot_response, inputs=user_input, outputs=chatbot_output)
 
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  # Launch the Gradio app
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  demo.launch()