Update pages/1_Upload_the_data.py

pages/1_Upload_the_data.py

@@ -2,45 +2,15 @@ import streamlit as st
 import pandas as pd
 
 st.markdown("""
-    <style>
-        .upload-container {
-            text-align: center;
-            padding: 20px;
-            font-family: Arial, sans-serif;
-        }
-        .upload-title {
-            color: #c71585;
-            font-size: 28px;
-            font-weight: bold;
-        }
-        .upload-description {
-            font-size: 18px;
-            color: #4F4F4F;
-            margin-bottom: 20px;
-        }
-        .success-message {
-            color: green;
-            font-size: 18px;
-            font-weight: bold;
-        }
-        .error-message {
-            color: red;
-            font-size: 18px;
-            font-weight: bold;
-        }
-    </style>
-""", unsafe_allow_html=True)
-
-st.markdown("""
-    <div class="upload-container">
-        <h2 class="upload-title">📂 Upload Your Classification Dataset</h2>
-        <p class="upload-description">
+    <div style="text-align: center; margin-bottom: 20px;">
+        <h2 style="color: #c71585; font-size: 28px;">Upload Your Classification Dataset📂</h2>
+        <p style="font-size: 18px; color: #4F4F4F;">
             Upload your dataset in CSV, Excel, JSON, XML, or HTML format. Drag and drop your file or click to browse.
         </p>
     </div>
 """, unsafe_allow_html=True)
 
-
+# Upload the file 
 uploaded_file = st.file_uploader(
     "Drop your dataset here or click to upload",
     type=["csv", "xlsx", "json", "xml", "html"]
@@ -61,11 +31,14 @@ if uploaded_file:
         elif file_extension == "html":
             df = pd.read_html(uploaded_file)[0]
         else:
-            st.markdown("<p class='error-message'>❌ Unsupported file format!</p>", unsafe_allow_html=True)
+            st.error("❌ Unsupported file format!")
             st.stop()
 
-        st.markdown(f"<p class='success-message'>{uploaded_file.name} uploaded successfully! ✅</p>", unsafe_allow_html=True)
+        st.session_state.df = df 
+
+        st.success(f"{uploaded_file.name} uploaded successfully!✅")
 
+        # if the data upload Successfully Display the Data
         st.dataframe(df.head()) 
 
         st.markdown("#### You're All Set! What’s Next?📌")
@@ -74,5 +47,6 @@ if uploaded_file:
                 if st.button("➡️Proceed to Simple EDA"):
                     st.switch_page("pages/2_Simple_EDA.py")
 
+
     except Exception as e:
-        st.markdown(f"<p class='error-message'>⚠️ Error loading the file: {e}</p>", unsafe_allow_html=True)
+        st.error(f"⚠️ Error loading the file: {e}")