Create app.py

app.py

@@ -0,0 +1,38 @@
+import gradio as gr
+import pandas as pd
+import pyarrow as pa
+import pyarrow.parquet as pq
+import tempfile
+
+css = '''
+.gradio-container{max-width: 950px !important}
+h1{text-align:center}
+'''
+
+DESCRIPTIONz= """## CSV to Parquet 📂
+"""
+
+def csv_to_parquet(file):
+
+    df = pd.read_csv(file.name)
+
+    table = pa.Table.from_pandas(df)
+
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".parquet") as tmp_file:
+        pq.write_table(table, tmp_file)
+        parquet_file_path = tmp_file.name
+    
+    return parquet_file_path
+
+with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
+    gr.Markdown(DESCRIPTIONz)
+    with gr.Row():
+        csv_input = gr.File(label="Upload CSV File", type="file", file_types=["text/csv"])
+        download_button = gr.File(label="Download Parquet File", interactive=False)
+        
+    convert_button = gr.Button("Convert CSV to Parquet")
+    
+    convert_button.click(fn=csv_to_parquet, inputs=[csv_input], outputs=[download_button])
+
+    gr.Markdown("📌 The speed of converting a CSV file to a .parquet file depends on the size and complexity of the CSV file.")
+demo.launch()