Updated Movie Analysis Page

Author: SurajSanap

.gitignore

@@ -0,0 +1 @@
+.e

Web_app/Movie_Animated.json

@@ -1,51 +1,87 @@
 import streamlit as st
 import pandas as pd
 from utils import analyze_reviews, recommend_movies
+from streamlit_lottie import st_lottie 
+import json
 
-st.title("Movie Review Analysis")
 
-st.sidebar.header("Upload your CSV!")
-uploaded_file = st.sidebar.file_uploader("Choose a CSV file", type="csv")
+with open('Movie_Animated.json', encoding='utf-8') as anim_source:
+        animation_data = json.load(anim_source)
+        st_lottie(animation_data, 1, True, True, "high", 150, -100)
+# Adding custom CSS to centralize components and style the headline
+st.markdown("""
+    <style>
+    .centered {
+        display: flex;
+        justify-content: center;
+        align-items: center;
+        flex-direction: column;
+    }
+    .centered .stFileUploader, .centered .stButton, .centered .stDataFrame, .centered .stTable {
+        width: 80%;
+    }
+    .yellow-headline {
+        color: yellow;
+        text-align: center;
+    }
+    .line {
+        margin: 20px 0;
+    }
+    </style>
+    """, unsafe_allow_html=True)
 
-def load_data(file):
-    try:
-        return pd.read_csv(file, encoding='utf-8')
-    except UnicodeDecodeError:
+st.markdown('<div class="centered">', unsafe_allow_html=True)
+st.markdown('<h1 class="yellow-headline">Movie Review Analysis</h1>', unsafe_allow_html=True)
+
+# Adding slider to control the length of the line
+line_length = st.write("__________________________________________________________________")
+
+
+
+uploaded_file = st.file_uploader("Upload your CSV file", type="csv")
+
+if st.button('Enter'):
+    def load_data(file):
         try:
-            return pd.read_csv(file, encoding='latin1')
+            return pd.read_csv(file, encoding='utf-8')
         except UnicodeDecodeError:
-            st.error("File encoding not supported. Please upload a CSV file with UTF-8 or Latin1 encoding.")
-            return None
-
-if uploaded_file is not None:
-    reviews_df = load_data(uploaded_file)
-
-    if reviews_df is not None:
-        st.write("Data Preview:")
-        st.write(reviews_df.head())
-
-        st.write("Column Names:")
-        st.write(reviews_df.columns.tolist())
-
-        # Check for 'review' or 'user-review' columns
-        review_column = None
-        if 'review' in reviews_df.columns:
-            review_column = 'review'
-        elif 'user_review' in reviews_df.columns:
-            review_column = 'user_review'
-
-        if review_column:
-            st.write("Sentiment Analysis:")
-            sentiment_df, analyzed_df = analyze_reviews(reviews_df, review_column)
-            st.write(sentiment_df)
-
-            st.write("Analyzed DataFrame with Sentiments:")
-            st.write(analyzed_df.head())
-
-            st.write("Movie Recommendations:")
-            recommendations = recommend_movies(analyzed_df)
-            st.write(recommendations)
-        else:
-            st.error("The uploaded CSV file does not contain a 'review' or 'user_review' column.")
-else:
-    st.write("Please upload a CSV file to proceed.")
+            try:
+                return pd.read_csv(file, encoding='latin1')
+            except UnicodeDecodeError:
+                st.error("File encoding not supported. Please upload a CSV file with UTF-8 or Latin1 encoding.")
+                return None
+
+    if uploaded_file is not None:
+        reviews_df = load_data(uploaded_file)
+
+        if reviews_df is not None:
+            st.write("Data Preview:")
+            st.write(reviews_df.head())
+
+            st.write("Column Names:")
+            st.write(reviews_df.columns.tolist())
+
+            # Check for 'review' or 'user-review' columns
+            review_column = None
+            if 'review' in reviews_df.columns:
+                review_column = 'review'
+            elif 'user_review' in reviews_df.columns:
+                review_column = 'user_review'
+
+            if review_column:
+                st.write("Sentiment Analysis:")
+                sentiment_df, analyzed_df = analyze_reviews(reviews_df)
+                st.write(sentiment_df)
+
+                st.write("Analyzed DataFrame with Sentiments:")
+                st.write(analyzed_df.head())
+
+                st.write("Movie Recommendations:")
+                recommendations = recommend_movies(analyzed_df)
+                st.write(recommendations)
+            else:
+                st.error("The uploaded CSV file does not contain a 'review' or 'user_review' column.")
+    else:
+        st.write("Please upload a CSV file to proceed.")
+
+st.markdown('</div>', unsafe_allow_html=True)

Web_app/__pycache__/utils.cpython-312.pyc

@@ -3,5 +3,5 @@ beautifulsoup4
 requests
 pandas
 scikit-learn
-pickle
+
 selenium