Upload 2 files

app.py

@@ -0,0 +1,83 @@
+import gradio as gr
+import os
+import pandas as pd
+import seaborn as sns
+import matplotlib.pyplot as plt
+
+
+def dataset_change(dataset):   
+    df = pd.read_csv(dataset.name)
+    features = df.columns
+    features_object_list = [feature for feature in features]
+    describe = df.describe(include='all')
+    print(describe)
+    return describe.reset_index(), gr.Dropdown.update(choices = features_object_list), gr.Dropdown.update(choices = features_object_list)
+
+def feature_select(dataset, feature, hue = None):
+    df = pd.read_csv(dataset.name)
+    non_numeric_cols = df.select_dtypes('object').columns.tolist()
+    
+    if feature in non_numeric_cols:
+      kde = False
+      plot2 = plt.figure()
+      if hue:
+        sns.countplot(x = feature, data = df, palette='rainbow', hue = hue)
+      else:
+        sns.countplot(x = feature, data = df, palette='rainbow')
+    else:
+      kde = True
+      plot2 = plt.figure()
+      if hue:
+        sns.boxplot(x = feature, data = df, hue = hue)
+      else:
+        sns.boxplot(x = feature, data = df )
+
+    plot1 = plt.figure()
+    if hue:
+      sns.histplot(data = df, x = feature, kde = kde, hue = hue, multiple="stack")
+    else:
+      sns.histplot(data = df, x = feature, kde = kde)
+   
+
+    return plot1, plot2
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("""## Input Dataset""")
+    with gr.Row():
+        dataset = gr.File()
+    with gr.Row():
+        dataframe = gr.Dataframe()
+    gr.Markdown("""## Select the feature to visualize""")
+    with gr.Row():
+      with gr.Column():
+        features = gr.Dropdown(label="Select feature to visualize")
+      with gr.Column():
+        hue = gr.Dropdown(label="Select hue")
+    with gr.Row():
+      btn = gr.Button("Visualize")
+
+    gr.Markdown("""## Visualization""")
+    with gr.Row():
+        plot1 = gr.Plot()
+    with gr.Row():
+        plot2 = gr.Plot()
+    
+    gr.Examples(
+          examples=[],
+          fn = dataset_change,
+          inputs = dataset, 
+          outputs = [dataframe, features, hue]
+          )
+
+    dataset.change(fn=dataset_change, 
+        inputs = dataset, 
+        outputs = [dataframe, features, hue]
+        )
+    
+    btn.click(fn=feature_select, 
+        inputs=[dataset, features, hue],
+        outputs=[plot1, plot2]
+        )
+    
+demo.launch(debug=True)

requirements.txt

@@ -0,0 +1 @@
+seaborn