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| import os | |
| import streamlit as st | |
| from groq import Groq | |
| # Set the Groq API key | |
| os.environ["GROQ_API_KEY"] = "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" | |
| # 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 | |
| def personalized_learning_assistant(topic): | |
| examples = [ | |
| "Explain quantum mechanics. Example: Quantum mechanics is the study of particles at the atomic level.", | |
| "Explain general relativity. Example: General relativity describes gravity as a curvature in space-time.", | |
| "Explain machine learning. Example: Machine learning involves algorithms that improve through experience." | |
| ] | |
| prompt = f"Here are some examples of explanations:\n\n{examples}\n\nNow, explain the topic: {topic}" | |
| return call_groq_api(prompt) | |
| def ai_coding_mentor(code_snippet): | |
| examples = [ | |
| "Review the following code snippet:\n\nCode: 'for i in range(10): print(i)'\nSuggestion: Use list comprehension for cleaner code.", | |
| "Review this code:\n\nCode: 'def add(a, b): return a + b'\nSuggestion: Add type hints for better readability." | |
| ] | |
| prompt = f"Here are some examples of code reviews:\n\n{examples}\n\nReview the following code snippet:\n{code_snippet}" | |
| return call_groq_api(prompt) | |
| def smart_document_summarizer(document_text): | |
| examples = [ | |
| "Summarize the following text:\n\nText: 'Quantum computing is a rapidly evolving field with potential to revolutionize technology.'\nSummary: 'Quantum computing could transform technology.'", | |
| "Summarize this passage:\n\nText: 'The global climate change crisis necessitates urgent action to reduce carbon emissions.'\nSummary: 'Immediate action is needed to tackle climate change.'" | |
| ] | |
| prompt = f"Here are some examples of summaries:\n\n{examples}\n\nSummarize this document:\n{document_text}" | |
| return call_groq_api(prompt) | |
| def interactive_study_planner(exam_schedule): | |
| examples = [ | |
| "Create a study plan based on this schedule:\n\nSchedule: '3 exams in a week'\nPlan: 'Study 2 hours per subject each day before the exam.'", | |
| "Generate a study plan for:\n\nSchedule: 'Exams in 2 weeks'\nPlan: 'Focus on subjects with more weight and review daily.'" | |
| ] | |
| prompt = f"Here are some examples of study plans:\n\n{examples}\n\nCreate a study plan for the following schedule:\n{exam_schedule}" | |
| return call_groq_api(prompt) | |
| def real_time_qa_support(question): | |
| examples = [ | |
| "Answer this question:\n\nQuestion: 'What is Newton's second law of motion?'\nAnswer: 'Newton's second law states that force equals mass times acceleration (F=ma).'", | |
| "Provide an explanation for:\n\nQuestion: 'What is photosynthesis?'\nAnswer: 'Photosynthesis is the process by which plants convert light energy into chemical energy.'" | |
| ] | |
| prompt = f"Here are some examples of Q&A responses:\n\n{examples}\n\nAnswer the following question:\n{question}" | |
| return call_groq_api(prompt) | |
| def mental_health_check_in(feelings): | |
| examples = [ | |
| "Provide advice for:\n\nFeeling: 'Stressed about exams'\nAdvice: 'Take breaks, get enough sleep, and manage your study time effectively.'", | |
| "Offer support for:\n\nFeeling: 'Feeling overwhelmed'\nAdvice: 'Consider relaxation techniques and seek support from friends or a counselor.'" | |
| ] | |
| prompt = f"Here are some examples of mental health advice:\n\n{examples}\n\nProvide advice for:\n{feelings}" | |
| return call_groq_api(prompt) | |
| # Define Streamlit app | |
| st.set_page_config(page_title="EduNexus", page_icon=":book:", layout="wide") | |
| # Add custom CSS for neon and animated design | |
| st.markdown(""" | |
| <style> | |
| body { | |
| background: linear-gradient(45deg, #000000, #2c3e50); | |
| color: #fff; | |
| font-family: 'Arial', sans-serif; | |
| overflow-x: hidden; | |
| } | |
| .neon-text { | |
| font-size: 32px; | |
| color: #00FF00; | |
| text-shadow: 0 0 5px #00FF00, 0 0 10px #00FF00, 0 0 15px #00FF00, 0 0 20px #00FF00, 0 0 25px #00FF00; | |
| margin-bottom: 20px; | |
| } | |
| .neon-border { | |
| border: 2px solid #00FF00; | |
| border-radius: 8px; | |
| padding: 15px; | |
| margin-bottom: 20px; | |
| box-shadow: 0 0 15px #00FF00; | |
| } | |
| .animated-button { | |
| animation: pulse 2s infinite; | |
| background-color: #00FF00; | |
| color: #000; | |
| border: none; | |
| border-radius: 8px; | |
| padding: 10px 20px; | |
| font-size: 16px; | |
| cursor: pointer; | |
| margin: 10px 0; | |
| } | |
| .animated-button:hover { | |
| background-color: #00CC00; | |
| } | |
| .input-container { | |
| margin-bottom: 20px; | |
| } | |
| </style> | |
| """, unsafe_allow_html=True) | |
| # Title and introduction | |
| st.title("EduNexus: The Ultimate AI-Powered Student Companion") | |
| st.markdown("<div class='neon-text'>Welcome to EduNexus! Choose a tool below to get started.</div>", unsafe_allow_html=True) | |
| # Define function to clear all inputs | |
| def clear_chat(): | |
| st.session_state['personalized_learning_assistant'] = "" | |
| st.session_state['ai_coding_mentor'] = "" | |
| st.session_state['smart_document_summarizer'] = "" | |
| st.session_state['interactive_study_planner'] = "" | |
| st.session_state['real_time_qa_support'] = "" | |
| st.session_state['mental_health_check_in'] = "" | |
| # Add Clear Chat button using HTML | |
| if st.markdown("<button class='animated-button' onclick='window.location.reload()'>Clear All</button>", unsafe_allow_html=True): | |
| clear_chat() | |
| # Personalized Learning Assistant | |
| st.header("Personalized Learning Assistant") | |
| with st.form(key="learning_form"): | |
| topic_input = st.text_input("Enter a topic you want to learn about", key="topic_input", placeholder="e.g., Quantum Mechanics") | |
| submit_button = st.form_submit_button("Generate Learning Material") | |
| if submit_button: | |
| if topic_input: | |
| st.write(personalized_learning_assistant(topic_input)) | |
| else: | |
| st.write("Please enter a topic.") | |
| # AI Coding Mentor | |
| st.header("AI Coding Mentor") | |
| with st.form(key="coding_form"): | |
| code_input = st.text_area("Paste your code snippet", key="code_input", placeholder="e.g., for i in range(10): print(i)") | |
| submit_button = st.form_submit_button("Get Coding Assistance") | |
| if submit_button: | |
| if code_input: | |
| st.write(ai_coding_mentor(code_input)) | |
| else: | |
| st.write("Please paste your code snippet.") | |
| # Smart Document Summarizer | |
| st.header("Smart Document Summarizer") | |
| with st.form(key="summary_form"): | |
| doc_input = st.text_area("Paste the text of the document", key="doc_input", placeholder="e.g., Quantum computing is...") | |
| submit_button = st.form_submit_button("Summarize Document") | |
| if submit_button: | |
| if doc_input: | |
| st.write(smart_document_summarizer(doc_input)) | |
| else: | |
| st.write("Please paste the document text.") | |
| # Interactive Study Planner | |
| st.header("Interactive Study Planner") | |
| with st.form(key="planner_form"): | |
| schedule_input = st.text_area("Enter your exam schedule", key="schedule_input", placeholder="e.g., 3 exams in 1 week") | |
| submit_button = st.form_submit_button("Generate Study Plan") | |
| if submit_button: | |
| if schedule_input: | |
| st.write(interactive_study_planner(schedule_input)) | |
| else: | |
| st.write("Please enter your exam schedule.") | |
| # Real-Time Q&A Support | |
| st.header("Real-Time Q&A Support") | |
| with st.form(key="qa_form"): | |
| question_input = st.text_input("Ask any academic question", key="question_input", placeholder="e.g., What is Newton's second law?") | |
| submit_button = st.form_submit_button("Get Answer") | |
| if submit_button: | |
| if question_input: | |
| st.write(real_time_qa_support(question_input)) | |
| else: | |
| st.write("Please ask a question.") | |
| # Mental Health Check-In | |
| st.header("Mental Health Check-In") | |
| with st.form(key="checkin_form"): | |
| feelings_input = st.text_area("How are you feeling?", key="feelings_input", placeholder="e.g., Stressed about exams") | |
| submit_button = st.form_submit_button("Check In") | |
| if submit_button: | |
| if feelings_input: | |
| st.write(mental_health_check_in(feelings_input)) | |
| else: | |
| st.write("Please describe your feelings.") | |