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Update chatbot_ui.py
Browse files- chatbot_ui.py +9 -30
chatbot_ui.py
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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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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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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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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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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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else:
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return "I'm here to assist with
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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("
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submit_button = gr.Button("Submit")
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with gr.Column():
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chatbot_output = gr.Textbox(label="Chatbot Response", interactive=False)
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# Launch the Gradio app
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demo.launch()
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import gradio as gr # For building the chatbot UI
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# Chatbot response function
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def chatbot_response(user_input):
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if user_input.lower() in ["hello", "hi"]:
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return "Hello! How can I help you with your studies today?"
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else:
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return "I'm here to assist with academic questions. Feel free to ask about study tips, time management, or anything else!"
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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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