Update data_labelling.py

data_labelling.py

@@ -1,56 +1,11 @@
-import gradio as gr
 import pandas as pd
-from data_labelling import main as label_data
 
-def preview_data(file):
-    if file is None:
-        return "Please upload a CSV file."
+def label_dataset(data, columns_to_label, new_column_names):
+    # Dummy labeling logic for demonstration
+    labeled_data = data.copy()
     
-    df = pd.read_csv(file.name)
-    preview = df.head()  # Show the first few lines of the dataset
-    return gr.DataFrame(preview), df.shape  # Return the preview and the shape of the dataset
-
-def run_labeling(input_file, output_file):
-    # Run the labeling script
-    labeled_file = label_data(input_file, output_file)
-    return labeled_file  # Return the path to the labeled file
-
-def main_interface():
-    with gr.Blocks() as demo:
-        gr.Markdown("# YouTube Comments Labeling")
-        
-        with gr.Row():
-            file_input = gr.File(label="Upload your CSV file")
-            preview_button = gr.Button("Preview Data")
-        
-        data_preview = gr.DataFrame()
-        data_shape = gr.Textbox(label="Dataset Shape", interactive=False)
-        
-        preview_button.click(preview_data, inputs=file_input, outputs=[data_preview, data_shape])
-        
-        with gr.Row():
-            label_option = gr.Radio(["No", "Yes"], label="Do you want to label your dataset?", value="No")
-        
-        output_name = gr.Textbox(label="Output File Name (with .csv extension)", value="labeled_dataset.csv")
-        label_button = gr.Button("Run Labeling")
-        
-        labeled_file_path = gr.Textbox(label="Labeled File Path", interactive=False)
-        download_button = gr.File(label="Download Labeled File")
-        
-        def handle_labeling(input_file, label_choice, output_name):
-            if label_choice == "Yes":
-                labeled_file = run_labeling(input_file.name, output_name)
-                return labeled_file, labeled_file
-            else:
-                return None, None
-        
-        label_button.click(
-            handle_labeling, 
-            inputs=[file_input, label_option, output_name], 
-            outputs=[labeled_file_path, download_button]
-        )
+    for col, new_col in zip(columns_to_label, new_column_names):
+        # Replace this with your actual labeling logic
+        labeled_data[new_col] = labeled_data[col].apply(lambda x: f"Labeled-{x}")
     
-    demo.launch()
-
-if __name__ == "__main__":
-    main_interface()
+    return labeled_data