Create app.py

app.py

@@ -0,0 +1,46 @@
+import gradio as gr
+import pandas as pd
+from io import StringIO
+
+# Function to manipulate CSV based on instruction
+def manipulate_csv(file, instruction):
+    if file is None:
+        return "Please upload a CSV file", None
+
+    # Read the CSV file
+    original_df = pd.read_csv(file)
+    manipulated_df = original_df.copy()
+
+    # Process instruction (basic examples)
+    try:
+        if "add column" in instruction.lower():
+            column_name = instruction.split("add column ")[1]
+            manipulated_df[column_name] = "New Data"
+        elif "filter rows" in instruction.lower():
+            column, value = instruction.split("filter rows ")[1].split("=")
+            manipulated_df = manipulated_df[manipulated_df[column.strip()] == value.strip()]
+        elif "drop column" in instruction.lower():
+            column_name = instruction.split("drop column ")[1]
+            manipulated_df = manipulated_df.drop(columns=[column_name.strip()])
+        else:
+            return "Instruction not recognized. Try: 'add column X', 'filter rows column=value', 'drop column X'", None
+    except Exception as e:
+        return f"Error: {str(e)}", None
+
+    # Return dataframes as HTML tables
+    return original_df.to_html(index=False), manipulated_df.to_html(index=False)
+
+# Gradio Interface
+with gr.Blocks() as demo:
+    gr.Markdown("# CSV Manipulation Tool")
+    file_input = gr.File(label="Upload CSV File", type="file")
+    instruction_input = gr.Textbox(label="Instruction (e.g., 'add column new_column')")
+    original_output = gr.HTML(label="Original CSV Data")
+    manipulated_output = gr.HTML(label="Manipulated CSV Data")
+    run_button = gr.Button("Apply Instruction")
+
+    # Link inputs and outputs
+    run_button.click(manipulate_csv, inputs=[file_input, instruction_input], outputs=[original_output, manipulated_output])
+
+# Launch Gradio Interface
+demo.launch()