Created
April 17, 2022 03:57
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main streamlit app
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dataframe = None | |
st.title(""" | |
Netflix Recommendation System | |
This is an Content Based Recommender System made on implicit ratings :smile:. | |
""") | |
st.text("") | |
st.text("") | |
st.text("") | |
st.text("") | |
session.options = st.multiselect(label="Select Movies", options=movies) | |
st.text("") | |
st.text("") | |
session.slider_count = st.slider(label="movie_count", min_value=5, max_value=50) | |
st.text("") | |
st.text("") | |
buffer1, col1, buffer2 = st.columns([1.45, 1, 1]) | |
is_clicked = col1.button(label="Recommend") | |
if is_clicked: | |
dataframe = recommend_table(session.options, movie_count=session.slider_count, tfidf_data=tfidf) | |
st.text("") | |
st.text("") | |
st.text("") | |
st.text("") | |
if dataframe is not None: | |
st.table(dataframe) |
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