Update app.py

app.py

@@ -2,10 +2,10 @@ import gradio as gr
 from huggingface_hub import HfApi, list_repo_files
 import os
 
-# 1. This grabs the "Secret Key" (CODEZ) from your Settings
+# 1. This grabs the Secret Key you just re-saved
 api = HfApi(token=os.getenv("HF_TOKEN"))
 
-# 2. This is the address of your NEW dataset
+# 2. This is the house address for your files
 REPO_ID = "abhy60098/my-cloud-storage" 
 
 def upload_file(file):
@@ -14,48 +14,40 @@ def upload_file(file):
     
     try:
         file_name = os.path.basename(file.name)
-        # 3. We use repo_type="dataset" now!
+        # 3. This moves the file into your dataset
         api.upload_file(
             path_or_fileobj=file.name,
             path_in_repo=file_name,
             repo_id=REPO_ID,
             repo_type="dataset" 
         )
-        return f"✅ Success! Uploaded: {file_name}", get_files()
+        return f"✅ Success! {file_name} is now in the cloud.", get_files()
     except Exception as e:
+        # If the key is wrong, it tells us here
         return f"❌ Error: {str(e)}", get_files()
 
 def get_files():
     try:
-        # 4. Looking inside the dataset to see your files
         files = list_repo_files(repo_id=REPO_ID, repo_type="dataset")
-        # We filter out hidden system files
-        filtered_files = [f for f in files if not f.startswith(".") and f != "README.md"]
-        
-        if not filtered_files:
-            return "The storage is currently empty."
-        
-        # 5. Create links so you can see/download your files
-        links = [f"📄 [{f}](https://huggingface.co/datasets/{REPO_ID}/resolve/main/{f})" for f in filtered_files]
+        # Hide the system files
+        clean_list = [f for f in files if not f.startswith(".") and f != "README.md"]
+        if not clean_list: return "The storage is currently empty."
+        # Create clickable links
+        links = [f"📄 [{f}](https://huggingface.co/datasets/{REPO_ID}/resolve/main/{f})" for f in clean_list]
         return "\n".join(links)
     except:
         return "Connecting to storage..."
 
-# 6. Building the Website Look
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown("# ☁️ My Public Cloud Storage")
-    gr.Markdown(f"Files are saved to: [{REPO_ID}](https://huggingface.co/datasets/{REPO_ID})")
-    
     with gr.Row():
         with gr.Column():
             file_input = gr.File(label="Upload any file")
             btn = gr.Button("🚀 Upload to Dataset", variant="primary")
             status = gr.Textbox(label="Status")
-            
         with gr.Column():
             gr.Markdown("### 📂 Your Files")
             file_display = gr.Markdown(get_files())
-
     btn.click(upload_file, inputs=file_input, outputs=[status, file_display])
 
 demo.launch()