app.py

import streamlit as st
import os
from groq import Groq

# Set up page configuration
st.set_page_config(page_title="EduNexus", page_icon=":book:", layout="wide")

# Set the Groq API key
os.environ["GROQ_API_KEY"] = "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"  # Replace with your actual API key

# Initialize Groq client
client = Groq(api_key=os.environ.get("GROQ_API_KEY"))

# Define the LLaMA model to be used
MODEL_NAME = "llama3-8b-8192"

# Function to call Groq API
def call_groq_api(prompt):
    try:
        chat_completion = client.chat.completions.create(
            messages=[{"role": "user", "content": prompt}],
            model=MODEL_NAME
        )
        return chat_completion.choices[0].message.content
    except Exception as e:
        return f"Error: {str(e)}"

# Define functions for each tool with few-shot examples
def personalized_learning_assistant(topic):
    prompt = f"""
    Provide a personalized learning plan for the topic: {topic}.
    Example 1: For 'Machine Learning': 'Create a plan with courses on supervised learning, unsupervised learning, and neural networks. Include practical exercises and projects.'
    Example 2: For 'Data Science': 'Suggest a plan with a focus on data analysis, visualization, and statistical modeling. Recommend tools like Python, R, and SQL.'
    Example 3: For 'Web Development': 'Outline a plan that covers front-end and back-end development, including HTML, CSS, JavaScript, and server-side technologies.'
    Example 4: For '{topic}':"""
    return call_groq_api(prompt)

def ai_coding_mentor(code_snippet):
    prompt = f"""
    Review this AI code snippet and provide suggestions or improvements:
    {code_snippet}
    Example 1: 'In the provided code, consider using a different activation function to improve performance.'
    Example 2: 'The code can be optimized by reducing redundant calculations and enhancing readability.'
    Example 3: 'Add comments to explain complex sections of the code for better understanding.'
    Example 4: 'For the provided snippet, suggest improvements or fixes:'''
    return call_groq_api(prompt)

def smart_document_summarizer(document_text):
    prompt = f"""
    Summarize the following document:
    {document_text}
    Example 1: 'The document discusses the impact of climate change on global agriculture, emphasizing the need for sustainable practices.'
    Example 2: 'It provides an overview of recent advancements in AI technology and its applications in various fields.'
    Example 3: 'The text outlines the historical development of renewable energy sources and their future potential.'
    Example 4: 'Summarize this document:'''
    return call_groq_api(prompt)

def interactive_study_planner(exam_schedule):
    prompt = f"""
    Create an interactive study plan based on this exam schedule:
    {exam_schedule}
    Example 1: 'For an exam schedule with subjects A, B, and C, create a plan that allocates study time for each subject and includes breaks.'
    Example 2: 'Plan should include daily study goals and revision sessions leading up to the exams.'
    Example 3: 'Suggest a study plan that balances subject preparation with relaxation to avoid burnout.'
    Example 4: 'Based on the provided schedule, create a study plan:'''
    return call_groq_api(prompt)

def real_time_qa_support(question):
    prompt = f"""
    Provide an answer to the following academic question:
    {question}
    Example 1: 'Question: What is the capital of France? Answer: Paris.'
    Example 2: 'Question: Explain the theory of relativity. Answer: The theory of relativity, developed by Albert Einstein, includes two theories: special relativity and general relativity, explaining the relationship between space, time, and gravity.'
    Example 3: 'Question: What is the process of photosynthesis? Answer: Photosynthesis is the process by which green plants use sunlight to synthesize foods with the help of chlorophyll, water, and carbon dioxide.'
    Example 4: 'Answer this question:'''
    return call_groq_api(prompt)

def mental_health_check_in(feelings):
    prompt = f"""
    Provide some advice based on these feelings:
    {feelings}
    Example 1: 'Feeling stressed? Try practicing mindfulness and deep breathing exercises to calm your mind.'
    Example 2: 'If you're feeling anxious, consider talking to a trusted friend or counselor for support.'
    Example 3: 'Feeling overwhelmed? Break your tasks into smaller steps and focus on completing them one at a time.'
    Example 4: 'Based on these feelings, provide advice:'''
    return call_groq_api(prompt)

# Initialize session state if not already set
if 'responses' not in st.session_state:
    st.session_state['responses'] = {
        "personalized_learning_assistant": "",
        "ai_coding_mentor": "",
        "smart_document_summarizer": "",
        "interactive_study_planner": "",
        "real_time_qa_support": "",
        "mental_health_check_in": ""
    }

# Function to clear session state values
def clear_session_state():
    for key in st.session_state.keys():
        if key.startswith('responses'):
            st.session_state[key] = ""
        if key in ['personalized_learning_assistant', 'ai_coding_mentor', 'smart_document_summarizer', 'interactive_study_planner', 'real_time_qa_support', 'mental_health_check_in']:
            st.session_state[key] = ""

# Add custom styling using Streamlit
st.markdown("""
    <style>
    body {
        background-color: #000000; /* Royal Black */
        color: #ffffff; /* White */
    }
    .custom-class {
        background-color: #000000; /* Royal Black */
        color: #ffffff; /* White */
    }
    .stButton {
        background-color: #ffffff; /* White */
        color: #000000; /* Royal Black */
        border-radius: 12px;
        padding: 12px 24px;
        font-size: 16px;
        box-shadow: 0 6px 12px rgba(0, 0, 0, 0.4);
        transition: background-color 0.3s, box-shadow 0.3s;
    }
    .stButton:hover {
        background-color: #d3d3d3; /* Light Gray */
        box-shadow: 0 8px 16px rgba(0, 0, 0, 0.5);
    }
    .stTextInput, .stTextArea {
        border: 1px solid #ffffff; /* White */
        border-radius: 12px;
        background-color: #ffffff; /* White */
        color: #000000; /* Royal Black */
    }
    .stTextInput::placeholder, .stTextArea::placeholder {
        color: #000000; /* Royal Black */
        font-weight: bold;
    }
    .stMarkdown, .stTextInput, .stTextArea {
        border-radius: 12px;
    }
    .stSidebar {
        background-color: #000000; /* Royal Black */
        color: #ffffff; /* White */
    }
    .stSidebar .stMarkdown {
        color: #ffffff; /* White */
    }
    .footer {
        background-color: #000000; /* Royal Black */
        padding: 15px; 
        text-align: center; 
        color: #ffffff; /* White */
        border-top: 1px solid #ffffff; /* White */
        position: fixed; 
        bottom: 0; 
        width: 100%;
    }
    .footer a {
        color: #ffffff; /* White */
        margin: 0 15px; 
        text-decoration: none; 
        font-size: 18px;
    }
    .footer a:hover {
        color: #d3d3d3; /* Light Gray */
    }
    .footer i {
        font-size: 22px;
    }
    .custom-placeholder {
        color: #000000; /* Royal Black */
        font-weight: bold;
    }
    </style>
""", unsafe_allow_html=True)

# Display main title
st.title("EduNexus")

# Sidebar with tasks
st.sidebar.title("Tasks")
tasks = [
    "📚 Personalized Learning Assistant",
    "🤖 AI Coding Mentor",
    "📄 Smart Document Summarizer",
    "🗓 Interactive Study Planner",
    "❓ Real-Time Q&A Support",
    "💬 Mental Health Check-In"
]
selected_task = st.sidebar.radio("Select a task", tasks)

# Main content area based on selected task
st.header(f"Selected Task: {selected_task}")

if selected_task == "📚 Personalized Learning Assistant":
    topic = st.text_input("Enter the topic for the learning plan:")
    if st.button("Generate Learning Plan"):
        st.session_state['responses']["personalized_learning_assistant"] = personalized_learning_assistant(topic)
        st.write(st.session_state['responses']["personalized_learning_assistant"])

elif selected_task == "🤖 AI Coding Mentor":
    code_snippet = st.text_area("Paste your AI code snippet here:")
    if st.button("Review Code"):
        st.session_state['responses']["ai_coding_mentor"] = ai_coding_mentor(code_snippet)
        st.write(st.session_state['responses']["ai_coding_mentor"])

elif selected_task == "📄 Smart Document Summarizer":
    document_text = st.text_area("Paste your document text here:")
    if st.button("Summarize Document"):
        st.session_state['responses']["smart_document_summarizer"] = smart_document_summarizer(document_text)
        st.write(st.session_state['responses']["smart_document_summarizer"])

elif selected_task == "🗓 Interactive Study Planner":
    exam_schedule = st.text_area("Enter your exam schedule here:")
    if st.button("Create Study Plan"):
        st.session_state['responses']["interactive_study_planner"] = interactive_study_planner(exam_schedule)
        st.write(st.session_state['responses']["interactive_study_planner"])

elif selected_task == "❓ Real-Time Q&A Support":
    question = st.text_input("Enter your academic question here:")
    if st.button("Get Answer"):
        st.session_state['responses']["real_time_qa_support"] = real_time_qa_support(question)
        st.write(st.session_state['responses']["real_time_qa_support"])

elif selected_task == "💬 Mental Health Check-In":
    feelings = st.text_input("How are you feeling today?")
    if st.button("Get Advice"):
        st.session_state['responses']["mental_health_check_in"] = mental_health_check_in(feelings)
        st.write(st.session_state['responses']["mental_health_check_in"])

# Add a footer with contact information
st.markdown("""
    <div class="footer">
        <a href="mailto:contact@edunexus.com"><i class="fa fa-envelope"></i> Contact</a>
        <a href="https://www.edunexus.com"><i class="fa fa-globe"></i> Website</a>
        <a href="https://www.linkedin.com/company/edunexus"><i class="fa fa-linkedin"></i> LinkedIn</a>
        <a href="https://twitter.com/edunexus"><i class="fa fa-twitter"></i> Twitter</a>
    </div>
""", unsafe_allow_html=True)