Spaces:
Sleeping
Sleeping
Update src/streamlit_app.py
Browse files- src/streamlit_app.py +75 -79
src/streamlit_app.py
CHANGED
|
@@ -1,88 +1,84 @@
|
|
| 1 |
-
import
|
| 2 |
-
import
|
| 3 |
-
import
|
| 4 |
-
import
|
| 5 |
-
import
|
| 6 |
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
const [ratedCount, setRatedCount] = useState(0);
|
| 11 |
-
const [ratings, setRatings] = useState([]);
|
| 12 |
-
const [shuffledMovies, setShuffledMovies] = useState([]);
|
| 13 |
-
const [submitted, setSubmitted] = useState(false);
|
| 14 |
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
}, []);
|
| 20 |
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
|
| 25 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
).slice(0, 10).map((title) => ({ title, score: (Math.random() * 100).toFixed(1) }));
|
| 37 |
|
| 38 |
-
|
| 39 |
-
|
| 40 |
-
|
|
|
|
| 41 |
|
| 42 |
-
|
| 43 |
-
|
| 44 |
-
|
| 45 |
-
|
| 46 |
-
|
| 47 |
-
|
| 48 |
-
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 55 |
|
| 56 |
-
|
| 57 |
-
|
| 58 |
-
<CardContent className="p-6 text-center">
|
| 59 |
-
<div className="flex justify-between mb-4">
|
| 60 |
-
<span className="text-sm text-gray-300">Rate the following movie</span>
|
| 61 |
-
<span className="text-sm text-gray-300">#{ratedCount + 1}</span>
|
| 62 |
-
</div>
|
| 63 |
-
<h2 className="text-2xl font-semibold mb-6">{shuffledMovies[questionIndex]}</h2>
|
| 64 |
-
<div className="flex justify-around gap-4">
|
| 65 |
-
<Button onClick={() => handleRating("like")} className="bg-green-600 hover:bg-green-700">π Like</Button>
|
| 66 |
-
<Button onClick={() => handleRating("dislike")} className="bg-red-600 hover:bg-red-700">π Dislike</Button>
|
| 67 |
-
<Button onClick={() => handleRating("skip")} className="bg-gray-500 hover:bg-gray-600">β Didn't Watch</Button>
|
| 68 |
-
</div>
|
| 69 |
-
</CardContent>
|
| 70 |
-
</Card>
|
| 71 |
-
)}
|
| 72 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
|
| 76 |
-
|
| 77 |
-
|
| 78 |
-
|
| 79 |
-
|
| 80 |
-
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
|
| 84 |
-
|
| 85 |
-
|
| 86 |
-
|
| 87 |
-
|
| 88 |
-
|
|
|
|
| 1 |
+
import streamlit as st
|
| 2 |
+
import pandas as pd
|
| 3 |
+
import numpy as np
|
| 4 |
+
import random
|
| 5 |
+
import os
|
| 6 |
|
| 7 |
+
# Load movie data
|
| 8 |
+
BASE_DIR = os.path.dirname(__file__)
|
| 9 |
+
MOVIES_PATH = os.path.join(BASE_DIR, "movies.csv")
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
|
| 11 |
+
@st.cache_data
|
| 12 |
+
def load_movies():
|
| 13 |
+
df = pd.read_csv(MOVIES_PATH)
|
| 14 |
+
return df["title"].dropna().unique().tolist()
|
|
|
|
| 15 |
|
| 16 |
+
# Initialize session state
|
| 17 |
+
if "movies" not in st.session_state:
|
| 18 |
+
st.session_state.movies = []
|
| 19 |
+
st.session_state.queue = []
|
| 20 |
+
st.session_state.index = 0
|
| 21 |
+
st.session_state.rated = []
|
| 22 |
+
st.session_state.skipped = 0
|
| 23 |
+
st.session_state.max_questions = 5
|
| 24 |
+
st.session_state.finished = False
|
| 25 |
|
| 26 |
+
st.markdown("""
|
| 27 |
+
<style>
|
| 28 |
+
body {
|
| 29 |
+
background-color: #0d1b2a;
|
| 30 |
+
color: white;
|
| 31 |
+
}
|
| 32 |
+
.stSlider > div {
|
| 33 |
+
background-color: #1b263b;
|
| 34 |
+
}
|
| 35 |
+
</style>
|
| 36 |
+
""", unsafe_allow_html=True)
|
| 37 |
|
| 38 |
+
st.title("π¬ Midnight Movie Recommender")
|
| 39 |
+
st.write("Rate a few movies to get personalized recommendations")
|
|
|
|
| 40 |
|
| 41 |
+
if not st.session_state.movies:
|
| 42 |
+
movie_titles = load_movies()
|
| 43 |
+
random.shuffle(movie_titles)
|
| 44 |
+
st.session_state.movies = movie_titles
|
| 45 |
|
| 46 |
+
if not st.session_state.queue:
|
| 47 |
+
with st.container():
|
| 48 |
+
st.subheader("How many movies do you want to rate?")
|
| 49 |
+
st.session_state.max_questions = st.slider("Select number of movies", 1, 15, 5)
|
| 50 |
+
if st.button("Start Rating"):
|
| 51 |
+
st.session_state.queue = st.session_state.movies.copy()
|
| 52 |
+
st.experimental_rerun()
|
| 53 |
+
else:
|
| 54 |
+
if st.session_state.finished or st.session_state.index >= len(st.session_state.queue):
|
| 55 |
+
st.subheader("πΏ Top 10 Recommendations")
|
| 56 |
+
st.write("Based on your preferences, we suggest:")
|
| 57 |
+
remaining = [m for m in st.session_state.movies if m not in [r["movie"] for r in st.session_state.rated]]
|
| 58 |
+
recommendations = random.sample(remaining, min(10, len(remaining)))
|
| 59 |
+
for i, movie in enumerate(recommendations, 1):
|
| 60 |
+
score = round(random.uniform(75, 100), 1)
|
| 61 |
+
st.markdown(f"**#{i}. {movie}** β Likelihood: `{score}%`")
|
| 62 |
+
else:
|
| 63 |
+
movie = st.session_state.queue[st.session_state.index]
|
| 64 |
+
card_number = len(st.session_state.rated) + 1
|
| 65 |
|
| 66 |
+
st.markdown(f"### ποΈ Movie #{card_number} of {st.session_state.max_questions}")
|
| 67 |
+
st.markdown(f"## **{movie}**")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 68 |
|
| 69 |
+
col1, col2, col3 = st.columns([1, 1, 1])
|
| 70 |
+
with col1:
|
| 71 |
+
if st.button("π Like"):
|
| 72 |
+
st.session_state.rated.append({"movie": movie, "rating": "like"})
|
| 73 |
+
st.session_state.index += 1
|
| 74 |
+
with col2:
|
| 75 |
+
if st.button("π Dislike"):
|
| 76 |
+
st.session_state.rated.append({"movie": movie, "rating": "dislike"})
|
| 77 |
+
st.session_state.index += 1
|
| 78 |
+
with col3:
|
| 79 |
+
if st.button("β Didn't Watch"):
|
| 80 |
+
st.session_state.index += 1
|
| 81 |
+
|
| 82 |
+
if len(st.session_state.rated) >= st.session_state.max_questions:
|
| 83 |
+
st.session_state.finished = True
|
| 84 |
+
st.experimental_rerun()
|