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Runtime error
Runtime error
shravya commited on
Commit ·
345f397
1
Parent(s): 0d1084a
ui(course_learn): Add expectation & Check Question
Browse files- ui/course_learn_suggest_expectations.py +132 -0
- ui_main.py +38 -24
ui/course_learn_suggest_expectations.py
ADDED
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@@ -0,0 +1,132 @@
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import streamlit as st
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from workflows.courses.suggest_expectations import SuggestExpectations
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from streamlit_extras.stylable_container import stylable_container
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from workflows.courses.expectation_revision import ExpectationRevision
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def main():
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st.markdown("""
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<style>
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[data-testid="stAppViewContainer"]{
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background-image:url("https://www.shutterstock.com/image-vector/abstract-technology-communication-concept-vector-600nw-1914443275.jpg");
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background-size:cover;
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}
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[data-testid="stHeader"]{
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background: rgba(0,0,0,0);
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}
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[data-testid="stToolbar"]{
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right: 2rem;
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}
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.header {
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font-size: 38px;
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font-weight: bold;
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text-align: center;
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color: #4b8bbe;
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margin-bottom: 20px;
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}
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.subheader {
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font-size: 24px;
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font-weight: bold;
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color: #4b8bbe;
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}
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.button:hover {
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background-color: #357ab8;
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}
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.expectation {
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font-weight: bold;
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color: #333333;
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}
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.check-question {
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color: #666666;
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font-weight: bold;
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}
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input[type='text'] {
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border: 2px solid #A0A0A0;
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padding: 10px;
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border-radius: 5px;
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background-color: white;
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font-size: 16px;
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}
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.stTextArea textarea {
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height: 100px;
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border: 2px solid #A0A0A0;
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}
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</style>
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""", unsafe_allow_html=True)
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_, col2, _ = st.columns([2, 6, 2])
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default_content = {
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"course": "SQL",
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"module": "Query Optimization Techniques",
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"tasks": [
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"Watch this video https://youtu.be/BHwzDmr6d7s?si=sfFYnd73y9w0EjGB to understand SQL execution order and some optimization techniques.",
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"Watch this video https://youtu.be/FoznjTU929c?si=6M3xUIUwAxE6EbKS to understand SQL explain command usage.",
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"Go over these articles https://intellipaat.com/blog/sql-optimization-techniques/ & https://www.thoughtspot.com/data-trends/data-modeling/optimizing-sql-queries to understand various query optimization techniques."
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]
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}
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st.session_state_inputs = st.session_state_inputs if 'session_state' in st.session_state else default_content
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with col2:
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st.markdown(
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"<div class='header'>Course Learn Suggest Expectation</div>", unsafe_allow_html=True)
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course = st.text_input("##### Course Name", key="course",
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help="Enter the name of the course", value=st.session_state_inputs["course"])
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module = st.text_input("##### Module Name", key="module",
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help="Enter the name of the module", value=st.session_state_inputs["module"])
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tasks = st.text_area("##### Tasks", key="tasks", value="\n".join(
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st.session_state_inputs["tasks"]), help="Enter the tasks to be covered in the module")
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suggester = SuggestExpectations()
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inputs = {"course": course, "module": module,
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"tasks": tasks.split('\n')}
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if st.button("Get Suggestions", key="suggestions", help="Click to get suggestions"):
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responses = suggester.kickoff(inputs=inputs)
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st.session_state.responses = responses
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if 'responses' in st.session_state:
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for response in st.session_state.responses["expectations"]:
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with stylable_container(
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key="response-container",
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css_styles="""
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{
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background-color: #ffffff;
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padding: 20px;
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border-radius: 10px;
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margin-top: 20px;
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border: 1px solid #C0C0C0;
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background-color: #f5f5f5;
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box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.1);
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display:flex;
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flex-wrap: wrap;
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flex-direction: column;
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}
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.response{
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font-size: 20px;
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line-height: 1.5;
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margin-bottom: 10px;
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}
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""",
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):
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inner1, _ = st.columns([9, 1])
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with inner1:
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st.markdown(
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f"<div class='response'><span class='expectation'>Expectation: </span> {response['expectation']}</div>", unsafe_allow_html=True)
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st.markdown(
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f"<div class='response'><span class='check-question'>Check Question: </span> {response['check_question']}</div>", unsafe_allow_html=True)
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feedback = st.text_input(
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"Feedback", key=f"feedback_{response['expectation']}", help="Enter your feedback here")
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if st.button("Reload suggestions", key=f"reload_{response['expectation']}"):
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rework = ExpectationRevision()
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feedback_inputs = {
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"expectation": response["expectation"], "check_question": response["check_question"], "request": feedback}
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suggestions = rework.kickoff(
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inputs=feedback_inputs)
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st.write(suggestions)
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if __name__ == "__main__":
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main()
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ui_main.py
CHANGED
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@@ -3,7 +3,8 @@ from streamlit_extras.stylable_container import stylable_container
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from ui.article_recommendation import main as article_recommendor_main
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from ui.course_lessons_extractor import main as lessons_extractor_main
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from ui.research_paper import main as research_article_suggester_main
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-
from ui.til_feedback import
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import math
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import streamlit as st
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import subprocess
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@@ -13,11 +14,11 @@ load_dotenv()
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subprocess.run(["playwright", "install", "chromium"])
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-
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def load_css(file_name):
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with open(file_name) as f:
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return f.read()
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def main():
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if 'page' not in st.session_state:
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feedback_main()
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elif st.session_state.page == "lessons_extractor":
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lessons_extractor_main()
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def show_main_page():
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st.set_page_config(page_title='Growthy AI Workflows',
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page_bg_img = '''
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<style>
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[data-testid="stAppViewContainer"]{
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@@ -48,30 +53,38 @@ def show_main_page():
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[data-testid="stToolbar"]{
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right: 2rem;
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}
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-
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</style>
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'''
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st.markdown(page_bg_img, unsafe_allow_html=True)
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-
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css = load_css("ui/main.css")
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st.markdown(f"<style>{css}</style>", unsafe_allow_html=True)
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st.markdown('<div class="main-title">Welcome to Growthy AI Workflows!</div>',
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st.markdown("---")
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card_info = [
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{"title": "TIL Feedback", "description": "Provide your valuable feedback.",
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{"title": "
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]
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num_cols = 3
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num_rows = math.ceil(len(card_info) / num_cols)
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col1, col2, col3 = st.columns([
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with col2:
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for row in range(num_rows):
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@@ -96,22 +109,22 @@ def show_main_page():
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justify-content: center;
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height:1000px;
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border: 1px solid #C0C0C0;
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-
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} """,
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<div style=" display: flex; flex-wrap:wrap; flex-direction: column; text-align: center; justify-content: center; align-items: center">
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<span style="font-weight:900; font-size: 24px;"> {card["title"]}</span>
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<p class="styled-description">{card["description"]}</p>
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</div>
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""", unsafe_allow_html=True
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"""
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<style>
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[data-testid="stImage"] img {
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}
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[data-testid="column"] {
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text-align: center;
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}
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</style>
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""", unsafe_allow_html=True
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-
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if __name__ == '__main__':
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main()
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from ui.article_recommendation import main as article_recommendor_main
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from ui.course_lessons_extractor import main as lessons_extractor_main
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from ui.research_paper import main as research_article_suggester_main
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from ui.til_feedback import feedback_main
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from ui.course_learn_suggest_expectations import main as course_suggester_main
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import math
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import streamlit as st
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import subprocess
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subprocess.run(["playwright", "install", "chromium"])
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def load_css(file_name):
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with open(file_name) as f:
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return f.read()
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def main():
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if 'page' not in st.session_state:
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feedback_main()
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elif st.session_state.page == "lessons_extractor":
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lessons_extractor_main()
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elif st.session_state.page == "course_suggester":
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course_suggester_main()
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def show_main_page():
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st.set_page_config(page_title='Growthy AI Workflows',
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page_icon='📰', layout="wide")
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page_bg_img = '''
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<style>
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[data-testid="stAppViewContainer"]{
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[data-testid="stToolbar"]{
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right: 2rem;
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}
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</style>
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'''
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st.markdown(page_bg_img, unsafe_allow_html=True)
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css = load_css("ui/main.css")
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st.markdown(f"<style>{css}</style>", unsafe_allow_html=True)
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st.markdown('<div class="main-title">Welcome to Growthy AI Workflows!</div>',
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unsafe_allow_html=True)
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st.markdown("---")
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card_info = [
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{"title": "TIL Feedback", "description": "Provide your valuable feedback.",
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"key": "feedback", "image": "https://agent.ai/icons/search.svg"},
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{"title": "Course Learn suggest Expectations", "description": "Get expectation & check question for course",
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"key": "course_suggester", "image": "https://agent.ai/icons/prospecting.svg"},
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{"title": "Course Lesson Extractor", "description": "Extract lessons for a given course",
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"key": "lessons_extractor", "image": "https://agent.ai/icons/business-analyst.svg"},
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{"title": "Article Recommender", "description": "Discover articles tailored to your interests.",
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"key": "article_recommendor", "image": "https://agent.ai/icons/robot.svg"},
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{"title": "Recent Article Suggester", "description": "Get suggestions for recent research articles.",
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"key": "research_article_suggester", "image": "https://agent.ai/icons/data.svg"},
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]
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num_cols = 3
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num_rows = math.ceil(len(card_info) / num_cols)
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col1, col2, col3 = st.columns([1, 8, 1])
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with col2:
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for row in range(num_rows):
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justify-content: center;
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height:1000px;
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border: 1px solid #C0C0C0;
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} """,
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):
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with st.container():
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st.image(card["image"])
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st.markdown(
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f"""
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<div style=" display: flex; flex-wrap:wrap; flex-direction: column; text-align: center; justify-content: center; align-items: center">
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<span style="font-weight:900; font-size: 24px;"> {card["title"]}</span>
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<p class="styled-description">{card["description"]}</p>
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</div>
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""", unsafe_allow_html=True
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)
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if st.button("Explore", key=card["key"]):
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st.session_state.page = card["key"]
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st.markdown(
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"""
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<style>
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[data-testid="stImage"] img {
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}
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[data-testid="column"] {
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text-align: center;
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}
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</style>
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""", unsafe_allow_html=True
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)
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+
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if __name__ == '__main__':
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main()
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