Merge pull request #263 from shubhagarwal1/pools

Add polls for Movie

Web_app/pages/MoviePol.py

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+import streamlit as st
+import pandas as pd
+import os
+
+# Path to the poll movies file
+movies_file = "pollmovies.csv"
+
+# Load movies from pollmovies.csv if it exists
+if os.path.exists(movies_file):
+    df_movies = pd.read_csv(movies_file)
+else:
+    st.error(
+        "The file 'pollmovies.csv' does not exist. Please make sure it is available in the directory."
+    )
+    st.stop()
+
+# Ensure column names are stripped of whitespace
+df_movies.columns = df_movies.columns.str.strip()
+
+# Convert Votes column to numeric, filling NaNs with 0 (in case of non-numeric data)
+df_movies["Votes"] = (
+    pd.to_numeric(df_movies["Votes"], errors="coerce").fillna(0).astype(int)
+)
+
+# Set up dashboard title and header styling
+st.title("🎜 Movie Poll Dashboard")
+st.markdown("<hr style='border-top: 3px solid #FFA07A;'>", unsafe_allow_html=True)
+
+# Search bar to find movies
+search_query = st.text_input("Search for a movie")
+filtered_df = (
+    df_movies[df_movies["Title"].str.contains(search_query, case=False, na=False)]
+    if search_query
+    else df_movies
+)
+
+# Pagination variables
+polls_per_page = 5
+page_number = st.number_input(
+    "Page Number",
+    min_value=1,
+    max_value=(len(filtered_df) // polls_per_page) + 1,
+    step=1,
+)
+start_index = (page_number - 1) * polls_per_page
+end_index = start_index + polls_per_page
+
+# Create a two-column layout for main dashboard content
+col1, col2 = st.columns([2, 1])
+
+with col1:
+    st.subheader("📜 Available Movies for Polling")
+
+    # Display each movie in a "card" style format with pagination
+    for index, row in filtered_df.iloc[start_index:end_index].iterrows():
+        with st.container():
+            st.markdown(
+                f"""
+                <div style="background-color: black; color: white; padding: 15px; border-radius: 10px; margin-bottom: 10px; border: 1px solid #E8E8E8; font-size: 20px;"
+                onmouseover="this.style.border='2px solid red';" onmouseout="this.style.border='1px solid #E8E8E8';">
+                    <h4 style="margin: 0;">{row['Title']}</h4>
+                    <p style="color: gray; margin: 0;">Genre: {row['Genre']} | Industry: {row['Industry']}</p>
+                    <p style="margin: 0;">Votes: {row['Votes']}</p>
+                </div>
+                """,
+                unsafe_allow_html=True,
+            )
+            if st.button(f"Vote for {row['Title']}", key=index):
+                df_movies.at[index, "Votes"] += 1
+                df_movies.to_csv(movies_file, index=False)
+                st.success(f"Thanks for voting for {row['Title']}!")
+
+with col2:
+    # Add new movie form in the right column
+    st.subheader("➕ Add a New Movie")
+    with st.form("add_movie_form"):
+        new_title = st.text_input("Movie Title")
+        new_genre = st.selectbox(
+            "Genre",
+            [
+                "Action",
+                "Comedy",
+                "Crime",
+                "Drama",
+                "Romance",
+                "Sci-Fi",
+                "Adventure",
+                "Musical",
+            ],
+        )
+        new_industry = st.selectbox("Industry", ["Hollywood", "Bollywood"])
+        submit_movie = st.form_submit_button("Add Movie")
+
+        if submit_movie:
+            if new_title:
+                new_movie = {
+                    "Title": [new_title],
+                    "Genre": [new_genre],
+                    "Industry": [new_industry],
+                    "Votes": [0],
+                }
+                new_movie_df = pd.DataFrame(new_movie)
+                df_movies = pd.concat([df_movies, new_movie_df], ignore_index=True)
+                df_movies.to_csv(movies_file, index=False)
+                st.success(f"{new_title} has been added to the poll!")
+            else:
+                st.error("Please enter a movie title.")
+
+# Add a button to view poll results
+if st.button("View Poll Results"):
+    # Add a section to display poll results with sorting
+    st.markdown("<hr style='border-top: 3px solid #FFA07A;'>", unsafe_allow_html=True)
+    st.subheader("📊 Poll Results")
+
+    # Sort and display poll results in a more structured table format
+    sorted_df = df_movies[["Title", "Genre", "Industry", "Votes"]].sort_values(
+        by="Votes", ascending=False
+    )
+    st.dataframe(sorted_df)

Web_app/pollmovies.csv

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+Title,Genre,Industry,Votes
+Inception,Sci-Fi,Hollywood,5
+Titanic,Romance,Hollywood,1
+The Godfather,Crime,Hollywood,2
+Avengers: Endgame,Action,Hollywood,0
+Shawshank Redemption,Drama,Hollywood,0
+Forrest Gump,Drama,Hollywood,0
+Interstellar,Sci-Fi,Hollywood,0
+The Dark Knight,Action,Hollywood,0
+Pulp Fiction,Crime,Hollywood,0
+The Matrix,Sci-Fi,Hollywood,0
+3 Idiots,Drama,Bollywood,0
+Dangal,Drama,Bollywood,0
+Dilwale Dulhania Le Jayenge,Romance,Bollywood,0
+Sholay,Action,Bollywood,0
+Zindagi Na Milegi Dobara,Adventure,Bollywood,0
+Bahubali,Action,Bollywood,0
+Kabir Singh,Romance,Bollywood,0
+Queen,Drama,Bollywood,0
+Gully Boy,Musical,Bollywood,0
+PK,Comedy,Bollywood,3
+ddlj,Adventure,Hollywood,1