Upload 2 files

home.py

@@ -26,16 +26,16 @@ for the_value in val:
         image = Image.open(f"./images/{item}")
         break
     with col1:
-        if image:
-            st.markdown(f"### {the_value}")
-            st.image(image, caption=f"{the_value} Image")
+      if image:
+        st.markdown(f"### {the_value}")
+        st.image(image, caption=f"{the_value} Image")
 
     with col2:
-        st.markdown(f"### Word Cloud for {the_value}")
+      st.markdown(f"### Word Cloud for {the_value}")
 
-        plt.figure(figsize=(10, 5))
-        plt.imshow(wordcloud, interpolation='bilinear')
-        plt.axis("off")
-        st.pyplot(plt)
+      plt.figure(figsize=(10, 5))
+      plt.imshow(wordcloud, interpolation='bilinear')
+      plt.axis("off")
+      st.pyplot(plt)
 
-        st.write('<div style="padding: 10px;"></div>', unsafe_allow_html=True)
+      st.write('<div style="padding: 10px;"></div>', unsafe_allow_html=True)

youtube.py

@@ -3,17 +3,20 @@ import streamlit as st
 import random
 
 st.header("💬 Youtube Comments Sentiment Analysis")
+
 st.markdown("""
     <style>
-        .stTextInput > label > div > p {
-            font-size: 23px;
-            padding: 0;
-            margin: 0;
-            font-weight: 600;
-        }
+      .stTextInput > label > div > p {
+        font-size: 23px;
+        padding: 0;
+        margin: 0;
+        font-weight: 600;
+      }
     </style>
 """, unsafe_allow_html=True)
+
 user_input = st.text_input("Enter a youtube link for sentiment analysis")
+
 sentiment_colors = {
     "Positive": "#28a745",  
     "Neutral": "#ffc107",   
@@ -33,17 +36,17 @@ if st.button('Submit', type="secondary"):
           sentiment = random.choice(sentiments)
           sentiment_color = sentiment_colors.get(sentiment, "#6c757d")
           comment_html = f"""
-          <div style="background-color: #f9f9f9; border: 1px solid #ddd; border-radius: 10px; padding: 20px; margin: 20px auto; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
-            <p style="font-size: 18px; line-height: 1.6; color: #333; font-family: 'Arial', sans-serif;">
-              {data["comment"]}
-            </p>
-            <p style="font-size: 16px; margin-top: 15px; font-family: 'Arial', sans-serif; font-weight: bold;">
-              Sentiment Analysis: <span style="color: {sentiment_color}; font-size: 18px; font-weight: bold; padding: 5px 10px; background-color: {sentiment_color + "33"}; border-radius: 5px;">
-                {sentiment}
-              </span>
-            </p>
-          </div>
-          """
+              <div style="background-color: #f9f9f9; border: 1px solid #ddd; border-radius: 10px; padding: 20px; margin: 20px auto; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
+                <p style="font-size: 18px; line-height: 1.6; color: #333; font-family: 'Arial', sans-serif;">
+                  {data["comment"]}
+                </p>
+                <p style="font-size: 16px; margin-top: 15px; font-family: 'Arial', sans-serif; font-weight: bold;">
+                  Sentiment Analysis: <span style="color: {sentiment_color}; font-size: 18px; font-weight: bold; padding: 5px 10px; background-color: {sentiment_color + "33"}; border-radius: 5px;">
+                    {sentiment}
+                  </span>
+                </p>
+              </div>
+            """
 
           st.markdown(comment_html, unsafe_allow_html=True)
     else: