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README.md

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+---
+title: Smart Xlsx
+emoji: 📚
+colorFrom: indigo
+colorTo: gray
+sdk: gradio
+sdk_version: 5.36.2
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+import io
+
+def get_columns(file):
+    df = pd.read_excel(file.name)
+    cols = df.columns.tolist()
+    return cols, df
+
+def plot_chosen_columns(df, x_col, y_col=None):
+    plots = []
+    fig, ax = plt.subplots(figsize=(6,4))
+    if y_col:
+        # If both x and y chosen, scatterplot or lineplot
+        if pd.api.types.is_numeric_dtype(df[x_col]) and pd.api.types.is_numeric_dtype(df[y_col]):
+            sns.scatterplot(data=df, x=x_col, y=y_col, ax=ax)
+            ax.set_title(f"Scatter plot of {x_col} vs {y_col}")
+        else:
+            sns.countplot(data=df, x=x_col, ax=ax)
+            ax.set_title(f"Count plot of {x_col}")
+    else:
+        # Only x column, plot histogram or countplot
+        if pd.api.types.is_numeric_dtype(df[x_col]):
+            sns.histplot(df[x_col], ax=ax, kde=True)
+            ax.set_title(f"Histogram of {x_col}")
+        else:
+            sns.countplot(data=df, x=x_col, ax=ax)
+            ax.set_title(f"Count plot of {x_col}")
+    buf = io.BytesIO()
+    plt.savefig(buf, format='png')
+    buf.seek(0)
+    plots.append(buf)
+    plt.close(fig)
+    return [plot.getvalue() for plot in plots]
+
+with gr.Blocks() as demo:
+    file_input = gr.File(label="Upload XLSX file")
+    col_dropdown = gr.Dropdown(label="Choose X variable")
+    y_col_dropdown = gr.Dropdown(label="Choose Y variable (optional)", interactive=True)
+    plot_output = gr.Gallery(label="Plot output")
+    
+    df_state = gr.State()
+    
+    def update_dropdowns(file):
+        if file is None:
+            return [], [], None
+        df = pd.read_excel(file.name)
+        cols = df.columns.tolist()
+        return gr.Dropdown.update(choices=cols), gr.Dropdown.update(choices=cols), df
+    
+    file_input.change(update_dropdowns, inputs=file_input, outputs=[col_dropdown, y_col_dropdown, df_state])
+    
+    def update_plot(x_col, y_col, df):
+        if df is None or x_col is None:
+            return []
+        return plot_chosen_columns(df, x_col, y_col)
+    
+    col_dropdown.change(update_plot, inputs=[col_dropdown, y_col_dropdown, df_state], outputs=plot_output)
+    y_col_dropdown.change(update_plot, inputs=[col_dropdown, y_col_dropdown, df_state], outputs=plot_output)
+    
+demo.launch()

requirements.txt

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+gradio
+pandas
+matplotlib
+seaborn
+openpyxl