Update app.py

app.py

@@ -0,0 +1,78 @@
+import os
+height = gr.Slider(300, 2000, value=800, step=50, label="Height")
+with gr.Row():
+bg = gr.Textbox(value=DEFAULT_BG, label="Background color (e.g., white or #111827)")
+seed = gr.Number(value=42, precision=0, label="Random seed")
+stopwords = gr.Textbox(value="", label="Stopwords to exclude (comma-separated)")
+
+
+with gr.Row():
+btn_load = gr.Button("Load / Preview CSV", variant="secondary")
+btn_generate = gr.Button("Generate Word Cloud", variant="primary")
+
+
+preview = gr.Dataframe(label="CSV preview", interactive=False, wrap=True, max_rows=10)
+
+
+with gr.Row():
+img = gr.Image(type="filepath", label="Word Cloud", show_download_button=True)
+download = gr.File(label="Download image")
+
+
+top_table = gr.Dataframe(label="Top skills (weighted)", interactive=False)
+
+
+# --- events ---
+def on_load(file):
+df = _load_csv(file)
+s_col, c_col = _guess_columns(df)
+df_state_value = df
+
+
+# choices
+choices = list(df.columns)
+skill_update = gr.update(choices=choices, value=s_col)
+count_choices = ["(none)"] + choices
+count_value = c_col if c_col else "(none)"
+count_update = gr.update(choices=count_choices, value=count_value)
+
+
+return df_state_value, skill_update, count_update, df.head(10)
+
+
+btn_load.click(on_load, inputs=[csv_file], outputs=[df_state, skill_col, count_col, preview])
+
+
+def on_generate(df, file, s_col, c_col, max_w, w, h, bg_color, font, stop, seed_val):
+# df from State may be None if user didn't click Load; try to load now
+if df is None:
+df = _load_csv(file)
+# still need to guess columns
+s_guess, c_guess = _guess_columns(df)
+s_col = s_col or s_guess
+if (not c_col) or c_col == "(none)":
+c_col = c_guess
+
+
+if c_col == "(none)":
+c_col = None
+
+
+freq_df = build_frequencies(df, s_col, c_col, stop)
+out_path = generate_wordcloud_image(freq_df, font, int(w), int(h), int(max_w), bg_color, int(seed_val))
+
+
+# Show top 100 rows for quick inspection
+top_show = freq_df.head(100)
+return out_path, out_path, top_show
+
+
+btn_generate.click(
+on_generate,
+inputs=[df_state, csv_file, skill_col, count_col, max_words, width, height, bg, font_file, stopwords, seed],
+outputs=[img, download, top_table],
+)
+
+
+if __name__ == "__main__":
+demo.launch()