Create app.py

app.py

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+import streamlit as st
+from dataset_import import load_data
+
+st.title("AnalyzeYT Dataset Analysis")
+
+# Text input for Kaggle dataset URL
+dataset_url = st.text_input("Enter Kaggle Dataset URL:", "")
+
+# Load dataset if URL is provided
+if dataset_url:
+    data = load_data(dataset_url)
+    st.write("Loaded Data Preview:")
+    st.write(data.head())
+
+    # Add some basic analysis and visualization options
+    st.write("Data Description:")
+    st.write(data.describe())
+
+    st.write("Data Visualization:")
+    chart_type = st.selectbox("Select Chart Type", ['Line Chart', 'Bar Chart', 'Histogram'])
+
+    if chart_type == 'Line Chart':
+        st.line_chart(data)
+    elif chart_type == 'Bar Chart':
+        st.bar_chart(data)
+    elif chart_type == 'Histogram':
+        selected_column = st.selectbox("Select Column for Histogram", data.columns)
+        st.write(data[selected_column].plot(kind='hist'))