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import streamlit as st | |
from components.study_path_generator import generate_study_path | |
def show_study_paths(): | |
st.title("Personalized AI-Generated Study Paths") | |
# User selects their level and topic | |
level = st.selectbox("Select your knowledge level", ['Beginner', 'Intermediate', 'Advanced']) | |
topic = st.selectbox("Choose a topic", ['Neural Networks', 'Reinforcement Learning', 'Computer Vision', 'NLP']) | |
if st.button("Generate Study Path"): | |
# Call the generator to get the study path | |
study_plan = generate_study_path(level, topic) | |
st.subheader(f"Study Path for {topic} ({level})") | |
st.write(study_plan) | |