Update app.py

app.py

@@ -1,27 +1,56 @@
-def advanced_plot(df, chart_type):
+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+# Function to plot a bar chart
+def plot_bar_chart(df):
     plt.figure(figsize=(8, 6))
-    
-    if chart_type == "Bar":
-        sns.barplot(x='Category', y='Value', data=df)
-    elif chart_type == "Line":
-        sns.lineplot(x='Category', y='Value', data=df)
-    elif chart_type == "Pie":
-        df.set_index('Category')['Value'].plot.pie(autopct='%1.1f%%', figsize=(8, 6))
-    
-    plt.title(f'{chart_type} Chart')
+    sns.barplot(x='Category', y='Value', data=df)
+    plt.title('Category vs Value')
+    plt.xlabel('Category')
+    plt.ylabel('Value')
+    plt.tight_layout()
+    return plt
+
+# Function to plot a line chart
+def plot_line_chart(df):
+    plt.figure(figsize=(8, 6))
+    sns.lineplot(x='Category', y='Value', data=df)
+    plt.title('Category vs Value')
     plt.xlabel('Category')
     plt.ylabel('Value')
+    plt.tight_layout()
+    return plt
+
+# Function to plot a pie chart
+def plot_pie_chart(df):
+    plt.figure(figsize=(8, 6))
+    df.set_index('Category')['Value'].plot.pie(autopct='%1.1f%%', figsize=(8, 6))
+    plt.title('Category Distribution')
     return plt
 
-def gradio_interface_advanced(file, chart_type):
-    df = pd.read_csv(file.name)
-    return advanced_plot(df, chart_type)
+# Streamlit interface
+st.title('Advanced Data Visualization App')
 
-interface = gr.Interface(fn=gradio_interface_advanced, 
-                         inputs=[gr.File(label="Upload CSV"), 
-                                 gr.Dropdown(["Bar", "Line", "Pie"], label="Select Chart Type")], 
-                         outputs=gr.Plot())
-                         
-interface.launch()
+# Upload CSV file
+uploaded_file = st.file_uploader("Upload your CSV file", type=["csv"])
 
+if uploaded_file is not None:
+    # Load CSV into a pandas DataFrame
+    df = pd.read_csv(uploaded_file)
+    
+    # Display the dataframe
+    st.write(df)
+
+    # Chart type selection
+    chart_type = st.selectbox('Select the chart type:', ['Bar Chart', 'Line Chart', 'Pie Chart'])
+    
+    # Plot based on selected chart type
+    if chart_type == 'Bar Chart':
+        st.pyplot(plot_bar_chart(df))
+    elif chart_type == 'Line Chart':
+        st.pyplot(plot_line_chart(df))
+    elif chart_type == 'Pie Chart':
+        st.pyplot(plot_pie_chart(df))