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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 = [ | |
"π Personalized Learning Assistant", | |
"π€ AI Coding Mentor", | |
"π Smart Document Summarizer", | |
"π Interactive Study Planner", | |
"β Real-Time Q&A Support", | |
"π¬ 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 == "π 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 == "π€ 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 == "π 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 == "π 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 == "β 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 == "π¬ 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) | |