Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+
+def modify_csv(input_csv):
+    # Load the input CSV file into a pandas DataFrame
+    df = pd.read_csv(input_csv)
+
+    # Modify the DataFrame (in this example, just add 1 to all values)
+    df = df + 1
+
+    # Save the modified DataFrame to a new CSV file
+    output_csv = 'output.csv'
+    df.to_csv(output_csv, index=False)
+
+    # Return the path to the output CSV file
+    return output_csv
+
+# Define the input and output types for the Gradio interface
+input_type = gr.inputs.Dataframe(type="csv", label="Upload a CSV file")
+output_type = gr.outputs.File(type="csv", label="Download the modified CSV file")
+
+# Create the Gradio interface
+iface = gr.Interface(fn=modify_csv, inputs=input_type, outputs=output_type, title="CSV Modifier")
+
+# Launch the interface
+iface.launch()