app.py

import streamlit as st
import faiss
import pandas as pd
from functions.loader import data, index
from functions.logic import load_image, find_similar_shows



st.title('TV Show Recommender')

# User input for the show description
user_description = st.text_area("Describe the TV show you're looking for:")

# Slider for the number of recommendations
num_recommendations = st.slider('Number of recommendations:', min_value=1, max_value=10, value=5)

# Button to get recommendations
if st.button('Recommend') and user_description:
    try:
        recommended_shows = find_similar_shows(user_description, index, num_recommendations)

        for idx in recommended_shows.index:
            with st.container():
                link = data.loc[idx, 'url']
                poster_url = data.loc[idx, 'img']
                title = data.loc[idx, 'title']
                description = data.loc[idx, 'description']

                img = load_image(poster_url)  # Use the load_image function
                
                col1, col2 = st.columns([1, 2])
                with col1:
                    st.image(img, caption=title, use_column_width='always')
                with col2:
                    st.write(description)
                    st.markdown(f"[More Info]({link})", unsafe_allow_html=True)

    except Exception as e:
        st.error(f"An error occurred: {e}")