simple dataframe

app.py

@@ -0,0 +1,32 @@
+import pandas as pd
+import gradio as gr
+
+
+def filter_data(query: str, df: pd.DataFrame) -> pd.DataFrame:
+    if query:
+        return df[
+            df.apply(
+                lambda row: row.astype(str).str.contains(query, case=False).any(),
+                axis=1
+            )    
+        ]
+    else:
+        return df
+
+
+def main():
+    df = pd.read_csv('results.csv')
+
+    def update_output(query: str) -> pd.DataFrame:
+        return filter_data(query, df)
+    
+    with gr.Blocks() as blocks:
+        query = gr.Textbox(label='Search')
+        output_df = gr.Dataframe(df)
+        query.change(fn=update_output, inputs=[query], outputs=[output_df])
+    
+    blocks.launch()
+
+
+if __name__ == '__main__':
+    main()

requirements.txt

@@ -0,0 +1 @@
+pandas