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import streamlit as st
import os
from groq import Groq
# Set the Groq API key
os.environ["GROQ_API_KEY"] = "your_groq_api_key_here" # 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
def personalized_learning_assistant(topic):
prompt = f"Provide a personalized learning plan for the topic: {topic}"
return call_groq_api(prompt)
def ai_coding_mentor(code_snippet):
prompt = f"Review this AI code snippet and provide suggestions or improvements:\n\n{code_snippet}"
return call_groq_api(prompt)
def smart_document_summarizer(document_text):
prompt = f"Summarize the following document:\n\n{document_text}"
return call_groq_api(prompt)
def interactive_study_planner(exam_schedule):
prompt = f"Create an interactive study plan based on this exam schedule:\n\n{exam_schedule}"
return call_groq_api(prompt)
def real_time_qa_support(question):
prompt = f"Provide an answer to the following academic question:\n\n{question}"
return call_groq_api(prompt)
def mental_health_check_in(feelings):
prompt = f"Provide some advice based on these feelings:\n\n{feelings}"
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": ""
}
# Set up page configuration
st.set_page_config(page_title="EduNexus", page_icon=":book:", layout="wide")
# Add custom styling using Streamlit
st.markdown("""
<style>
body {
background-color: #000000; /* Royal Black */
color: #ffffff; /* White */
}
.css-1o7k8tt {
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: #000000; /* Royal Black */
color: #ffffff; /* White */
}
.stTextInput::placeholder, .stTextArea::placeholder {
color: #a0a0a0; /* Gray */
}
.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;
}
</style>
""", unsafe_allow_html=True)
# 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 layout based on selected task
if selected_task == "Personalized Learning Assistant":
st.header("Personalized Learning Assistant")
with st.form(key="personalized_learning_assistant_form"):
topic = st.text_area("Enter the topic you want to learn about")
submit_button = st.form_submit_button("Get Explanation")
if submit_button:
response = personalized_learning_assistant(topic)
st.write(response)
elif selected_task == "AI Coding Mentor":
st.header("AI Coding Mentor")
with st.form(key="ai_coding_mentor_form"):
code_snippet = st.text_area("Paste your code snippet here")
submit_button = st.form_submit_button("Get Review")
if submit_button:
response = ai_coding_mentor(code_snippet)
st.write(response)
elif selected_task == "Smart Document Summarizer":
st.header("Smart Document Summarizer")
with st.form(key="smart_document_summarizer_form"):
document_text = st.text_area("Paste your document text here")
submit_button = st.form_submit_button("Get Summary")
if submit_button:
response = smart_document_summarizer(document_text)
st.write(response)
elif selected_task == "Interactive Study Planner":
st.header("Interactive Study Planner")
with st.form(key="interactive_study_planner_form"):
exam_schedule = st.text_area("Enter your exam schedule here")
submit_button = st.form_submit_button("Create Study Plan")
if submit_button:
response = interactive_study_planner(exam_schedule)
st.write(response)
elif selected_task == "Real-Time Q&A Support":
st.header("Real-Time Q&A Support")
with st.form(key="real_time_qa_support_form"):
question = st.text_area("Ask your academic question here")
submit_button = st.form_submit_button("Get Answer")
if submit_button:
response = real_time_qa_support(question)
st.write(response)
elif selected_task == "Mental Health Check-In":
st.header("Mental Health Check-In")
with st.form(key="mental_health_check_in_form"):
feelings = st.text_area("Share how you are feeling today")
submit_button = st.form_submit_button("Get Advice")
if submit_button:
response = mental_health_check_in(feelings)
st.write(response)
# Footer
st.markdown("""
<div class="footer">
<a href="https://github.com/your-repo">GitHub</a> |
<a href="https://twitter.com/your-profile">Twitter</a> |
<a href="https://linkedin.com/in/your-profile">LinkedIn</a>
<br>
<i>EduNexus © 2024</i>
</div>
""", unsafe_allow_html=True)
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