upload app and req

app.py

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+import gradio as gr
+import pandas as pd
+from datasets import load_dataset, Dataset, Audio
+from huggingface_hub import login
+
+# Global variables to store dataset and token
+editable_df = pd.DataFrame()
+dataset_name = ""
+hub_token = ""
+
+
+def load_hf_dataset(dataset_url, token):
+    global editable_df, dataset_name, hub_token
+    # Extract dataset name and token
+    dataset_name = dataset_url.split("/")[-1]
+    hub_token = token
+
+    # Authenticate and load dataset
+    login(token)
+    dataset = load_dataset(dataset_url)
+    editable_df = pd.DataFrame(dataset["train"])
+    return editable_df
+
+def update_row(row_index, column_name, new_value):
+    """Update a specific cell in the DataFrame."""
+    global editable_df
+    if row_index < len(editable_df) and column_name in editable_df.columns:
+        editable_df.at[row_index, column_name] = new_value.replace('"', '')
+        print(new_value.replace('"', ''))
+    return editable_df
+
+def save_and_upload():
+    """Save the updated DataFrame back to the Hugging Face Hub."""
+    global editable_df, dataset_name, hub_token
+    # Convert DataFrame to Dataset
+    updated_dataset = Dataset.from_pandas(editable_df)
+
+    updated_dataset = updated_dataset.cast_column("audio", Audio(sampling_rate=16000))
+
+    # Push updated dataset to Hugging Face
+    updated_dataset.push_to_hub(dataset_name, token=hub_token)
+    return f"Updated dataset successfully pushed to: {dataset_name}"
+
+def handle_row_selection(selected_row, evt: gr.SelectData):
+    # print(selected_row)
+    index = evt.index[0]
+    return index , selected_row.transcription[index]
+
+# Gradio interface
+with gr.Blocks() as app:
+    gr.Markdown("### Hugging Face Dataset Editor")
+    
+    with gr.Row():
+        dataset_url_input = gr.Textbox(label="Dataset URL", placeholder="username/dataset_name")
+        token_input = gr.Textbox(label="Hub Token", placeholder="Enter your Hugging Face Hub token", type="password")
+        load_btn = gr.Button("Load Dataset")
+
+    data_table = gr.DataFrame(value=editable_df)
+    
+    with gr.Row():
+        row_input = gr.Number(label="Row Index", value=0, precision=0, interactive=False)
+        col_input = gr.Text(label="Column Name", value="transcription", interactive=False)
+        new_value_input = gr.Text(label="New Value", value="new_value", interactive=True)
+        update_btn = gr.Button("Update Row")
+
+    # Register callback to handle row selection and update
+    data_table.select(handle_row_selection, data_table,[row_input,new_value_input])#
+    
+    save_btn = gr.Button("Save and Upload")
+    status_output = gr.Textbox(label="Status", interactive=False)
+
+    # Button actions
+    load_btn.click(load_hf_dataset, inputs=[dataset_url_input, token_input], outputs=data_table)
+    update_btn.click(update_row, inputs=[row_input, col_input, new_value_input], outputs=data_table)
+    save_btn.click(save_and_upload, outputs=status_output)
+
+app.launch(share=True)

requirements.txt

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+gradio
+datasets
+huggingface_hub
+pandas
+librosa