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):
    system_message = ""
    
    if category == "Study Tips":
        system_message = "Provide effective study strategies, time management advice, and tips for staying organized and focused."
    elif category == "Exam Preparation":
        system_message = "Offer tips for preparing for exams, managing anxiety, and optimizing performance on test day."
    elif category == "Project Guidance":
        system_message = "Provide advice on how to tackle academic projects, group assignments, and presentations effectively."
    elif category == "Time Management":
        system_message = "Help the user manage their time effectively with practical scheduling and prioritization tips."
    elif category == "Motivation & Focus":
        system_message = "Provide encouraging advice to stay motivated and maintain focus on long-term goals."
    elif category == "Building Confidence":
        system_message = "Offer advice to help boost self-esteem, overcome self-doubt, and build confidence."
    elif category == "Friendship & Social Skills":
        system_message = "Provide tips for making friends, improving communication skills, and navigating social dynamics."
    elif category == "Networking & Career Building":
        system_message = "Offer advice on networking, building professional relationships, and finding internships or job opportunities."
    elif category == "Work-Life Balance":
        system_message = "Help the user balance academics, social life, and personal well-being."
    elif category == "Mental Health":
        system_message = "Provide empathetic advice to manage stress, anxiety, and other mental health challenges. Encourage seeking professional help when needed."
    elif category == "Physical Health":
        system_message = "Share tips for maintaining physical health, including fitness, sleep, and nutrition."
    elif category == "Stress Management":
        system_message = "Offer calming techniques and advice to handle stress effectively."
    elif category == "Budgeting Tips":
        system_message = "Provide practical advice for managing money, creating a budget, and saving effectively as a student."
    elif category == "Finding Part-Time Jobs":
        system_message = "Share tips for finding and balancing part-time work with academic responsibilities."
    elif category == "Scholarships & Financial Aid":
        system_message = "Provide advice on applying for scholarships, grants, and understanding financial aid options."
    elif category == "Resume Building":
        system_message = "Offer tips for creating an impressive resume tailored for internships or entry-level positions."
    elif category == "Interview Preparation":
        system_message = "Provide advice on how to prepare for interviews, including common questions and presentation tips."
    elif category == "Skill Development":
        system_message = "Suggest ways to build skills, gain certifications, and stand out in competitive fields."
    elif category == "Exploring New Hobbies":
        system_message = "Encourage trying new activities and provide ideas for hobbies that fit college life."
    elif category == "Clubs & Extracurriculars":
        system_message = "Offer advice on joining clubs, participating in activities, and enhancing the college experience."
    elif category == "Creative Projects":
        system_message = "Provide inspiration and resources for personal or group creative endeavors."
    else:
        system_message = "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

# Gradio Interface with enhanced styling
chat_interface = 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;
}
""")

with 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():
        user_input = gr.Textbox(label="Your Message", placeholder="Type something...", lines=2)
        category_dropdown = gr.Dropdown(
            choices=[
                "Study Tips", "Exam Preparation", "Project Guidance", "Time Management", "Motivation & Focus",
                "Building Confidence", "Friendship & Social Skills", "Networking & Career Building", "Work-Life Balance", 
                "Mental Health", "Physical Health", "Stress Management", "Budgeting Tips", "Finding Part-Time Jobs", 
                "Scholarships & Financial Aid", "Resume Building", "Interview Preparation", "Skill Development",
                "Exploring New Hobbies", "Clubs & Extracurriculars", "Creative Projects"
            ],
            label="Choose Chat Category"
        )
    
    with gr.Row():
        send_button = gr.Button("Send")
    
    with gr.Row():
        with gr.Column() as chat_container:
            chatbot_output = gr.Chatbot(label="Chat History")

    # Add functionality to handle interactions
    def handle_chat(user_input, category, history):
        if not user_input.strip():
            return history, history
        updated_history, _ = chatbot(user_input, category, history)
        return updated_history, updated_history

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

chat_interface.launch()