app.py

import gradio as gr
import openai
import os

# Set OpenAI API Key
openai.api_key = os.getenv("TRY_NEW_THINGS")
openai.api_base = "https://api.groq.com/openai/v1"

# Function to get response from GROQ API
def get_groq_response(message, category):
    # Define system message based on category
    system_messages = {
        "Stress Management": "Provide soothing advice and tips to help the user manage stress. Be calm, empathetic, and reassuring.",
        "Career Advice": "Offer professional and constructive career advice. Be encouraging, insightful, and action-oriented.",
        "General": "Engage in general conversation. Be friendly, approachable, and easygoing.",
        "Funny": "Respond with humorous remarks and witty commentary. Be entertaining but remain respectful.",
        "Flirty": "Respond playfully and with charm. Keep it light-hearted, fun, and appropriate.",
        "Scary": "Respond with spooky or thrilling remarks. Set a mysterious and eerie tone.",
        "Business Mind": "Respond with a sharp, professional focus. Offer strategic advice and maintain a results-driven tone.",
        "Extrovert": "Respond with high energy and enthusiasm. Be engaging, sociable, and vibrant.",
        "Friendly Buddy": "Respond as a supportive and fun friend. Be informal, cheerful, and light-hearted.",
        "Study Tips": "Provide effective study strategies, time management advice, and tips for staying organized and focused.",
        "Exam Preparation": "Offer tips for preparing for exams, managing anxiety, and optimizing performance on test day.",
        "Project Guidance": "Provide advice on how to tackle academic projects, group assignments, and presentations effectively.",
        "Time Management": "Help the user manage their time effectively with practical scheduling and prioritization tips.",
        "Motivation & Focus": "Provide encouraging advice to stay motivated and maintain focus on long-term goals.",
        "Building Confidence": "Offer advice to help boost self-esteem, overcome self-doubt, and build confidence.",
        "Friendship & Social Skills": "Provide tips for making friends, improving communication skills, and navigating social dynamics.",
        "Networking & Career Building": "Offer advice on networking, building professional relationships, and finding internships or job opportunities.",
        "Work-Life Balance": "Help the user balance academics, social life, and personal well-being.",
        "Mental Health": "Provide empathetic advice to manage stress, anxiety, and other mental health challenges. Encourage seeking professional help when needed.",
        "Physical Health": "Share tips for maintaining physical health, including fitness, sleep, and nutrition.",
        "Budgeting Tips": "Provide practical advice for managing money, creating a budget, and saving effectively as a student.",
        "Finding Part-Time Jobs": "Share tips for finding and balancing part-time work with academic responsibilities.",
        "Scholarships & Financial Aid": "Provide advice on applying for scholarships, grants, and understanding financial aid options.",
        "Resume Building": "Offer tips for creating an impressive resume tailored for internships or entry-level positions.",
        "Interview Preparation": "Provide advice on how to prepare for interviews, including common questions and presentation tips.",
        "Skill Development": "Suggest ways to build skills, gain certifications, and stand out in competitive fields.",
        "Exploring New Hobbies": "Encourage trying new activities and provide ideas for hobbies that fit college life.",
        "Clubs & Extracurriculars": "Offer advice on joining clubs, participating in activities, and enhancing the college experience.",
        "Creative Projects": "Provide inspiration and resources for personal or group creative endeavors.",
    }

    system_message = system_messages.get(category, "Category not recognized. Respond appropriately to the user's input.")

    try:
        response = openai.ChatCompletion.create(
            model="llama-3.1-70b-versatile",
            messages=[
                {"role": "system", "content": system_message},
                {"role": "user", "content": message}
            ]
        )
        return response.choices[0].message["content"]
    except Exception as e:
        return f"Error: {str(e)}"

# Chatbot function
def chatbot(user_input, category, history=[]):
    bot_response = get_groq_response(user_input, category)
    history.append((f"You: {user_input}", f"Bot: {bot_response}"))
    return history, history

# Categories grouped into main and subcategories
categories = {
    "Academic Support": [
        "Study Tips", "Exam Preparation", "Project Guidance", "Time Management", "Building Confidence"
    ],
    "Mental & Physical Wellness": [
        "Stress Management", "Motivation & Focus", "Mental Health", "Physical Health", "Work-Life Balance"
    ],
    "Career & Financial": [
        "Networking & Career Building", "Finding Part-Time Jobs", "Scholarships & Financial Aid",
        "Resume Building", "Interview Preparation", "Budgeting Tips", "Skill Development"
    ],
    "Social & Personal Growth": [
        "Friendship & Social Skills", "Exploring New Hobbies", "Clubs & Extracurriculars", "Creative Projects"
    ],
    "Fun & Miscellaneous": [
        "Funny", "Flirty", "Scary", "Business Mind", "Extrovert", "Friendly Buddy"
    ]
}

# Gradio Interface with grouped categories and custom CSS for colors and styles
with gr.Blocks(css="""
body {
    font-family: 'Poppins', sans-serif;
    background: linear-gradient(120deg, #ff9a9e, #fad0c4, #a1c4fd);
    animation: gradientBG 10s ease infinite;
    margin: 0;
    padding: 0;
    color: #333;
}

@keyframes gradientBG {
    0% { background-position: 0% 50%; }
    50% { background-position: 100% 50%; }
    100% { background-position: 0% 50%; }
}

button {
    background: linear-gradient(90deg, #6a11cb, #2575fc);
    color: white;
    padding: 0.8rem 1.5rem;
    font-size: 1rem;
    font-weight: bold;
    border-radius: 20px;
    border: none;
    cursor: pointer;
    transition: transform 0.2s ease, background 0.2s ease;
}

button:hover {
    background: linear-gradient(90deg, #2575fc, #6a11cb);
    transform: scale(1.1);
}

header {
    text-align: center;
    margin-bottom: 20px;
    padding: 10px;
    border-radius: 15px;
    background: linear-gradient(90deg, #ff758c, #ff7eb3);
    color: white;
    box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
}

.chat-container {
    border: 2px solid #ff7eb3;
    background: rgba(255, 255, 255, 0.8);
    border-radius: 15px;
    padding: 15px;
    box-shadow: 0 4px 10px rgba(0, 0, 0, 0.1);
    max-height: 300px;
    overflow-y: auto;
    font-size: 1.1rem;
    color: #333;
}

.chat-container .user-message {
    font-weight: bold;
    color: #6a11cb;
}

.chat-container .bot-message {
    font-weight: normal;
    color: #2575fc;
}

""") as chat_interface:
    with gr.Row():
        gr.Markdown("<h1 style='text-align:center;'>🌟 Vibrant Personal Assistant Chatbot 🌈</h1>")
    
    with gr.Row():
        gr.Markdown("<p style='text-align:center;'>Select a category and type your message to get tailored responses.</p>")
    
    with gr.Row():
        main_category = gr.Radio(
            label="Main Category",
            choices=list(categories.keys()),
            value="Academic Support"
        )
        sub_category = gr.Dropdown(
            label="Subcategory",
            choices=categories["Academic Support"],
            value="Study Tips"
        )

    def update_subcategories(selected_main_category):
        """Update the subcategory dropdown based on the main category."""
        new_subcategories = categories.get(selected_main_category, [])
        return gr.update(choices=new_subcategories, value=new_subcategories[0] if new_subcategories else None)

    # Handle main category change to update subcategories
    main_category.change(update_subcategories, inputs=main_category, outputs=sub_category)

    with gr.Row():
        user_input = gr.Textbox(label="Your Message", placeholder="Type something...", lines=2)
        send_button = gr.Button("Send")

    with gr.Row():
        chatbot_output = gr.Chatbot(label="Chat History")

    def handle_chat(user_input, sub_category, history):
        if not user_input.strip():
            return history, history
        updated_history, _ = chatbot(user_input, sub_category, history)
        return updated_history, updated_history

    send_button.click(
        handle_chat,
        inputs=[user_input, sub_category, chatbot_output],
        outputs=[chatbot_output, chatbot_output]
    )

chat_interface.launch()