import streamlit as st
from visualize_dataset import visualize_dataset
from visualize_pipeline import visualize_pipeline

# Header
with open("style.css") as f:
    st.markdown("<style>" + f.read() + "</style>", unsafe_allow_html=True)

st.title("Welcome to Healthsea 🪐")

intro, jellyfish = st.columns(2)
jellyfish.markdown("\n")

intro.subheader("Create easier access to health✨")

jellyfish.image("data/img/Jellymation.gif")
intro.markdown(
    """Healthsea is a spaCy v3 pipeline that is capable of analyzing user-generated reviews to supplementary products by extracting their effects on health.
    The analysis is based on the written-text and context from the reviews."""
)
intro.markdown(
    """With this app, you're able to explore the pipeline and its analysis on productive data. You can choose between two different apps `Visualize dataset` and `Visualize pipeline`.
    """
)
intro.markdown(
    """The code for Healthsea is provided in this [github repository](https://github.com/thomashacker/healthsea) and if you're interested you can read more about the project in our [blog post]().
    """
)

st.markdown("""---""")

app_type = st.selectbox("Choose app", ["Visualize dataset", "Visualize pipeline"])

if app_type == "Visualize dataset":
    visualize_dataset()
else:
    visualize_pipeline()