Update pages/Data.upload.py

pages/Data.upload.py

@@ -0,0 +1,44 @@
+import streamlit as st
+import pandas as pd
+
+# Page Config
+st.set_page_config(page_title="AutoML - Classification", layout="wide")
+
+st.title("Classification Data")
+
+# Upload button
+uploaded_file = st.file_uploader("Upload Data", type=["csv", "json", "xml", "xlsx"])
+
+if uploaded_file is not None:
+    file_extension = uploaded_file.name.split(".")[-1]
+    
+    # Read dataset based on file type
+    if file_extension == "csv":
+        df = pd.read_csv(uploaded_file)
+    elif file_extension == "json":
+        df = pd.read_json(uploaded_file)
+    elif file_extension == "xml":
+        df = pd.read_xml(uploaded_file)
+    elif file_extension == "xlsx":
+        df = pd.read_excel(uploaded_file)
+    
+    st.success("File uploaded successfully!")
+    
+    # Dropdown to select basic info
+    options = ["Head of Data", "Data Info", "Describe Data"]
+    selected_option = st.selectbox("Select Basic Info to View", options)
+    
+    if selected_option == "Head of Data":
+        st.write(df.head())
+    elif selected_option == "Data Info":
+        buffer = []
+        df.info(buf=buffer)
+        s = "\n".join(str(x) for x in buffer)
+        st.text(s)
+    elif selected_option == "Describe Data":
+        st.write(df.describe())
+
+    # Submit button to redirect to EDA page
+    if st.button("Submit"):
+        st.session_state["uploaded_df"] = df  # Store data in session state
+        st.switch_page("pages/1_EDA.py")  # Redirect to EDA page