Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+
+def display_csv(file_path):
+    # Load the CSV file using pandas
+    df = pd.read_csv(file_path)
+    # Convert the dataframe to HTML table
+    html_table = df.to_html(index=False)
+    return html_table
+
+# Hardcoded file path
+file_path = "merged-averaged-model_timings_2.1.0_12.1_NVIDIA_A10G_False.csv"
+
+# Call the display_csv function with the hardcoded file path
+html_table_output = display_csv(file_path)
+
+# Define the output component
+output_text = gr.outputs.HTML(label="CSV File Preview")
+
+# Create the Gradio interface
+gr.Interface(fn=lambda: html_table_output, inputs=None, outputs=output_text, title="CSV Viewer").launch()