Update data_explorer.py

data_explorer.py

@@ -1,7 +1,6 @@
 import gradio as gr
 import pandas as pd
 from datasets import load_dataset
-from huggingface_hub import HfApi
 import os
 
 # --- Backend Functions ---
@@ -34,59 +33,23 @@ def preview_dataset(dataset_id, config_name, split_name, num_rows):
     except Exception as e:
         return pd.DataFrame(), f"❌ Error: {str(e)}"
 
-def upload_to_hub(files, hf_token, repo_name, is_private):
+def upload_to_hub(files, repo_name, is_private):
     """
-    Uploads local files to a new Hugging Face dataset repository.
+    Placeholder function for development.
+    The Token field was removed, so this functionality is currently disabled.
     """
     if not files:
-        return "⚠️ Please select files to upload."
-    if not hf_token:
-        return "⚠️ Please enter your Hugging Face Write Token."
-    if not repo_name:
-        return "⚠️ Please enter a Repository Name (e.g., username/dataset)."
-
-    try:
-        api = HfApi(token=hf_token)
-        
-        # 1. Create the Repo (if it doesn't exist)
-        repo_url = api.create_repo(
-            repo_id=repo_name, 
-            repo_type="dataset", 
-            private=is_private, 
-            exist_ok=True
-        )
-        
-        # 2. Upload Files
-        uploaded_count = 0
-        # Handle file input for different Gradio versions
-        file_list = files if isinstance(files, list) else [files]
-        
-        for file_obj in file_list:
-            # file_obj is a temp path string or object depending on version
-            file_path = file_obj.name if hasattr(file_obj, 'name') else file_obj
-            file_name = os.path.basename(file_path)
-            
-            api.upload_file(
-                path_or_fileobj=file_path,
-                path_in_repo=file_name,
-                repo_id=repo_name,
-                repo_type="dataset"
-            )
-            uploaded_count += 1
-            
-        return f"🚀 Success! {uploaded_count} files pushed to: {repo_url}"
-        
-    except Exception as e:
-        return f"❌ Upload failed: {str(e)}"
+        return "⚠️ No files selected."
+    
+    # Just return a message for now since we removed the token logic
+    return f"🛠️ Dev Mode: Upload to '{repo_name}' triggered (functionality disabled)."
 
 # --- Frontend Interface ---
 
 def render_explorer():
     """
     Returns the layout (Column) and the back button.
-    Does NOT use gr.Blocks() internally.
     """
-    # 1. Use a Column, hidden by default
     with gr.Column(visible=False) as explorer_view:
         
         gr.Markdown("# 🤗 Hugging Face Dataset Manager")
@@ -117,8 +80,9 @@ def render_explorer():
             with gr.TabItem("☁️ Upload New Dataset"):
                 gr.Markdown("Upload CSV, JSON, or Parquet files to create a new dataset.")
                 
+                # --- TOKEN FIELD REMOVED ---
+                
                 with gr.Row():
-                    in_token = gr.Textbox(label="HF Write Token", type="password", placeholder="hf_...")
                     in_repo = gr.Textbox(label="New Repo Name", placeholder="username/my-new-dataset")
                     in_private = gr.Checkbox(label="Private Dataset", value=True)
                 
@@ -126,25 +90,21 @@ def render_explorer():
                 btn_upload = gr.Button("Push to Hub", variant="primary")
                 out_upload_status = gr.Markdown()
                 
+                # Updated inputs to exclude the token
                 btn_upload.click(
                     fn=upload_to_hub,
-                    inputs=[in_files, in_token, in_repo, in_private],
+                    inputs=[in_files, in_repo, in_private],
                     outputs=[out_upload_status]
                 )
 
         gr.Markdown("---")
         
-        # 2. Add the Back Button
         btn_back = gr.Button("⬅️ Back to Home", variant="secondary")
 
-    # 3. Return the container and button to app.py
     return explorer_view, btn_back
 
-# --- Optional: Standalone Testing ---
-# This block allows you to run `python data_explorer.py` just to test this file alone.
 if __name__ == "__main__":
     with gr.Blocks() as demo:
-        # We manually render it and default it to visible for testing
         view, _ = render_explorer()
         view.visible = True 
     demo.launch()