Create app.py

app.py

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+import gradio as gd 
+import polars as pl 
+
+
+data = pl.read_parquet("hf://datasets/polinaeterna/text_unnested/data/*.parquet")
+min_min = data["min"].min()
+min_max = data["max"].max()
+
+
+def filter(min_value: min_min, max_value: min_max):
+    df = data.select((pl.col("min") >= min_value) & (pl.col("min") <= max_value)).to_pandas()
+    if df.shape[0] > 100:
+        return df.head(100)
+    return df
+    
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 💫 Filter text datasets by string lengths distribution 💫")
+    min_value = gr.Slider(min_min, min_max, 0, step=1, label="Min min value")
+    max_value = gr.Slider(min_min, min_max, 0, step=1, label="Max min value")
+    btn = gr.Button("Get datasets ")
+    datasets = gr.DataFrame()
+    btn.click(filter, inputs=[min_value, max_value], outputs=[datasets])
+
+demo.launch(debug=True)