portfolio.py

import streamlit as st
import info
import pandas as pd

#About Me
def about_me_section():
    st.header("♡ About Me ♡")
    st.image(info.profile_picture, width = 200, clamp = True, output_format="JPEG")
    st.write(info.about_me)
    st.write("--")
about_me_section()

#Sidebar Links

def links_section():
    st.sidebar.header("⌨️Links")
    st.sidebar.text("Connect with me on LinkedIn")
    linkedin_link=f'<a href="{info.my_linkedin_url}"><img src="{info.linkedin_image_url}" alt="Linkedin" width="75" height="75"></a>'
    st.sidebar.markdown(linkedin_link,unsafe_allow_html=True)
    st.sidebar.text("Checkout my work")
    github_link = f'<a href="{info.my_github_url}"><img src="{info.github_image_url}" alt = "Github" width = "65" height = "65"></a>'
    st.sidebar.markdown(github_link, unsafe_allow_html=True)
    st.sidebar.text("Or email me!")
    email_html = f'<a href = "mailto:{info.my_email_address}"><img src = "{info.email_image_url}" alt = "Email" width = "75" height = "75"></a>'
    st.sidebar.markdown(email_html, unsafe_allow_html=True)
links_section()

#Education
def education_section(education_data, course_data):
    st.header("📖Education")
    st.subheader(f"**{education_data['Institution']}**")
    st.write(f"**Degree:**{education_data['Degree']}")
    st.write(f"**Graduation Data:**{education_data['Graduation Date']}")
    st.write(f"**GPA:**{education_data['GPA']}")
    st.write("**Relevant Coursework:**")
    coursework = pd.DataFrame(course_data)
    st.dataframe(coursework, column_config={
        "code": "Course Code",
        "names": "Course Names",
        "semester_taken": "Semester Taken",
        "skills": "What I Learned"},
        hide_index=True,
        )
    st.write("--")

education_section(info.education_data, info.course_data)

#Professional Experience

def experience_section(experience_data):
    st.header("💼Professional Experience")
    for job_title, (job_description,image) in experience_data.items():
        expander = st.expander(f"{job_title}")
        expander.image(image, width=250)
        for bullet in job_description:
            expander.write(bullet)
        st.write("--")
experience_section(info.experience_data)

#Projects

def project_section(projects_data):
    st.header("👩‍💻Movie Project")
    for project_name, project_description in projects_data.items():
        expander = st.expander(f"{project_name}")
        expander.write(project_description)
    st.write("--")
project_section(info.projects_data)

#Skills
def skills_section(programming_data, spoken_data):
    st.header("✍️Skills")
    st.subheader("Programming Languages")
    for skill, percentage in programming_data.items():
        st.write(f"{skill}{info.programming_icons.get(skill, '')}")
        st.progress(percentage)
    st.subheader("Spoken Languages")
    for spoken, proficiency in spoken_data.items():
        st.write(f"{spoken}{info.spoken_icons.get(spoken, '')}:{proficiency}")

    st.write("--")
skills_section(info.programming_data, info.spoken_data)

#Activities

def activities_section(leadership_data, activity_data):
    st.header("🩰Activities")
    tab1, tab2 = st.tabs(["Leadership", "Community Service"])
    with tab1:
        st.subheader("Leadership")
        for title, (details,image) in leadership_data.items():
            expander = st.expander(f"{title}")
            expander.image(image, width=250)
            for bullet in details:
                expander.write(bullet)
    with tab2:
        st.subheader("Community Service")
        for title, (details,image) in activity_data.items():
            expander = st.expander(f"{title}")
            for bullet in details:
                expander.write(bullet)
    st.write("--")              
activities_section(info.leadership_data, info.activity_data)