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Update app.py
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app.py
CHANGED
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@@ -9,64 +9,16 @@ openai.api_base = "https://api.groq.com/openai/v1"
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# Function to get response from GROQ API
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def get_groq_response(message, category):
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# Define system message based on category
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system_message = "Provide encouraging advice to stay motivated and maintain focus on long-term goals."
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elif category == "Building Confidence":
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system_message = "Offer advice to help boost self-esteem, overcome self-doubt, and build confidence."
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elif category == "Friendship & Social Skills":
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system_message = "Provide tips for making friends, improving communication skills, and navigating social dynamics."
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elif category == "Networking & Career Building":
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system_message = "Offer advice on networking, building professional relationships, and finding internships or job opportunities."
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elif category == "Work-Life Balance":
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system_message = "Help the user balance academics, social life, and personal well-being."
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elif category == "Mental Health":
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system_message = "Provide empathetic advice to manage stress, anxiety, and other mental health challenges. Encourage seeking professional help when needed."
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elif category == "Physical Health":
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system_message = "Share tips for maintaining physical health, including fitness, sleep, and nutrition."
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elif category == "Stress Management":
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system_message = "Offer calming techniques and advice to handle stress effectively."
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elif category == "Budgeting Tips":
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system_message = "Provide practical advice for managing money, creating a budget, and saving effectively as a student."
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elif category == "Finding Part-Time Jobs":
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system_message = "Share tips for finding and balancing part-time work with academic responsibilities."
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elif category == "Scholarships & Financial Aid":
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system_message = "Provide advice on applying for scholarships, grants, and understanding financial aid options."
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elif category == "Resume Building":
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system_message = "Offer tips for creating an impressive resume tailored for internships or entry-level positions."
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elif category == "Interview Preparation":
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system_message = "Provide advice on how to prepare for interviews, including common questions and presentation tips."
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elif category == "Skill Development":
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system_message = "Suggest ways to build skills, gain certifications, and stand out in competitive fields."
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elif category == "Exploring New Hobbies":
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system_message = "Encourage trying new activities and provide ideas for hobbies that fit college life."
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elif category == "Clubs & Extracurriculars":
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system_message = "Offer advice on joining clubs, participating in activities, and enhancing the college experience."
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elif category == "Creative Projects":
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system_message = "Provide inspiration and resources for personal or group creative endeavors."
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elif category == "Funny":
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system_message = "Respond with humorous remarks and witty commentary. Be entertaining but remain respectful."
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elif category == "Flirty":
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system_message = "Respond playfully and with charm. Keep it light-hearted, fun, and appropriate."
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elif category == "Scary":
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system_message = "Respond with spooky or thrilling remarks. Set a mysterious and eerie tone."
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elif category == "Business Mind":
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system_message = "Respond with a sharp, professional focus. Offer strategic advice and maintain a results-driven tone."
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elif category == "Extrovert":
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system_message = "Respond with high energy and enthusiasm. Be engaging, sociable, and vibrant."
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elif category == "Friendly Buddy":
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system_message = "Respond as a supportive and fun friend. Be informal, cheerful, and light-hearted."
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else:
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system_message = "Category not recognized. Respond appropriately to the user's input."
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try:
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response = openai.ChatCompletion.create(
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model="llama-3.1-70b-versatile",
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@@ -85,96 +37,60 @@ def chatbot(user_input, category, history=[]):
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history.append((f"You: {user_input}", f"Bot: {bot_response}"))
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return history, history
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# Gradio Interface with
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padding: 0.5rem 1rem; /* Smaller button padding */
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font-size: 0.9rem; /* Smaller button text */
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font-weight: bold;
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border-radius: 15px; /* Slightly smaller border radius */
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border: none;
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cursor: pointer;
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transition: transform 0.2s ease, background 0.2s ease;
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}
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button:hover {
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background: linear-gradient(90deg, #2575fc, #6a11cb);
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transform: scale(1.05); /* Smaller hover effect */
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}
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header {
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text-align: center;
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margin-bottom: 20px;
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padding: 10px;
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border-radius: 15px;
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background: linear-gradient(90deg, #ff758c, #ff7eb3);
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color: white;
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box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
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}
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.chat-container {
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border: 2px solid #ff7eb3;
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background: rgba(255, 255, 255, 0.9); /* Slightly higher contrast for readability */
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border-radius: 15px;
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padding: 20px; /* Slightly larger padding for better spacing */
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box-shadow: 0 4px 10px rgba(0, 0, 0, 0.1);
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max-height: 400px; /* Increased height to show more history */
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overflow-y: auto;
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width: 80%; /* Wider container */
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margin: 0 auto; /* Center the container */
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font-size: 1rem; /* Larger font for readability */
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line-height: 1.5; /* Improved line spacing for easier reading */
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}
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.chat-container p {
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margin: 0 0 10px; /* Spacing between messages */
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}
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.chat-container .user-message {
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color: #2575fc; /* Highlight user messages in blue */
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font-weight: bold;
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}
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.chat-container .bot-response {
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color: #6a11cb; /* Highlight bot responses in purple */
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}
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""")
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with gr.Row():
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gr.Markdown("<h1 style='text-align:center;'>🌟 Vibrant Personal Assistant Chatbot 🌈</h1>")
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with gr.Row():
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gr.Markdown("<p style='text-align:center;'>Select a category and type your message to get tailored responses.</p>")
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with gr.Row():
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choices=
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"Project Guidance", "Time Management", "Motivation & Focus", "Building Confidence",
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"Friendship & Social Skills", "Networking & Career Building", "Work-Life Balance",
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"Mental Health", "Physical Health", "Budgeting Tips", "Finding Part-Time Jobs",
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"Scholarships & Financial Aid", "Resume Building", "Interview Preparation", "Skill Development",
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"Exploring New Hobbies", "Clubs & Extracurriculars", "Creative Projects", "Funny",
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"Flirty", "Scary", "Business Mind", "Extrovert"
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],
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label="Choose Chat Category"
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)
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with gr.Row():
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send_button = gr.Button("Send")
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with gr.Row():
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chatbot_output = gr.Chatbot(label="Chat History")
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# Add functionality to handle interactions
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def handle_chat(user_input, category, history):
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@@ -185,7 +101,7 @@ with chat_interface:
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send_button.click(
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handle_chat,
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inputs=[user_input,
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outputs=[chatbot_output, chatbot_output]
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)
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# Function to get response from GROQ API
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def get_groq_response(message, category):
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# Define system message based on category
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system_messages = {
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"Study Tips": "Provide effective study strategies, time management advice, and tips for staying organized and focused.",
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"Exam Preparation": "Offer tips for preparing for exams, managing anxiety, and optimizing performance on test day.",
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"Project Guidance": "Provide advice on how to tackle academic projects, group assignments, and presentations effectively.",
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"Stress Management": "Offer calming techniques and advice to handle stress effectively.",
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# (Continue with all other categories...)
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"Friendly Buddy": "Respond as a supportive and fun friend. Be informal, cheerful, and light-hearted."
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}
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system_message = system_messages.get(category, "Respond appropriately to the user's input.")
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try:
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response = openai.ChatCompletion.create(
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model="llama-3.1-70b-versatile",
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history.append((f"You: {user_input}", f"Bot: {bot_response}"))
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return history, history
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# Gradio Interface with grouped categories
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categories = {
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"Academic Support": [
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"Study Tips", "Exam Preparation", "Project Guidance", "Time Management", "Building Confidence"
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],
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"Mental & Physical Wellness": [
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"Stress Management", "Motivation & Focus", "Mental Health", "Physical Health", "Work-Life Balance"
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],
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"Career & Financial": [
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"Networking & Career Building", "Finding Part-Time Jobs", "Scholarships & Financial Aid",
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"Resume Building", "Interview Preparation", "Budgeting Tips", "Skill Development"
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],
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"Social & Personal Growth": [
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"Friendship & Social Skills", "Exploring New Hobbies", "Clubs & Extracurriculars", "Creative Projects"
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],
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"Fun & Miscellaneous": [
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"Funny", "Flirty", "Scary", "Business Mind", "Extrovert", "Friendly Buddy"
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]
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}
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def get_subcategories(main_category):
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return categories.get(main_category, [])
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with gr.Blocks(css="""
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/* Add custom CSS here */
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""") as chat_interface:
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with gr.Row():
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gr.Markdown("<h1 style='text-align:center;'>🌟 Vibrant Personal Assistant Chatbot 🌈</h1>")
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with gr.Row():
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gr.Markdown("<p style='text-align:center;'>Select a category and type your message to get tailored responses.</p>")
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with gr.Row():
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main_category = gr.Radio(
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label="Main Category",
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choices=list(categories.keys()),
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value="Academic Support"
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)
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sub_category = gr.Dropdown(
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label="Subcategory",
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choices=get_subcategories("Academic Support")
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)
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def update_subcategories(main_category):
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return gr.Dropdown.update(choices=get_subcategories(main_category), value=None)
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main_category.change(update_subcategories, inputs=main_category, outputs=sub_category)
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with gr.Row():
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user_input = gr.Textbox(label="Your Message", placeholder="Type something...", lines=2)
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send_button = gr.Button("Send")
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with gr.Row():
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chatbot_output = gr.Chatbot(label="Chat History")
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# Add functionality to handle interactions
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def handle_chat(user_input, category, history):
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send_button.click(
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handle_chat,
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inputs=[user_input, sub_category, chatbot_output],
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outputs=[chatbot_output, chatbot_output]
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)
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