Update app.py

app.py

@@ -1,6 +1,10 @@
 import gradio as gr
 from huggingface_hub import HfApi, whoami
 from all_models import models
+import asyncio
+import os
+import pandas as pd
+from datetime import datetime
 howManyModelsToUse = 20
 num_models = howManyModelsToUse
 max_images = howManyModelsToUse
@@ -19,10 +23,6 @@ user_info = whoami(token=HF_TOKEN)
 username = user_info["name"]
 from handle_models import load_fn,infer,gen_fn
 from externalmod import gr_Interface_load, save_image, randomize_seed
-import asyncio
-import os
-
-from datetime import datetime
 from handlemodelradio import extend_choices,update_imgbox,random_choices
 #anything but huggingface_hub==0.26.2 will result in token error
 # Get all models owned by the user
@@ -94,3 +94,47 @@ with gr.Blocks(fill_width=True) as demo:
             
 
 demo.launch(show_api=False, max_threads=400)
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+'''
+
+# --- Step 2: Fetch user's Spaces
+spaces = list(api.list_spaces(author=username, token=HF_TOKEN))
+space_df = pd.DataFrame([{"Space Name": f"<a href='#' data-space='{space.id}'>{space.id.split('/')[-1]}</a>",
+    "Last Modified": space.lastModified,} for space in spaces])
+
+def load_space_files(evt: gr.SelectData):
+    clicked_html = evt.value
+    space_id = clicked_html.split("data-space='")[1].split("'")[0]
+    files = api.list_repo_files(repo_id=space_id, repo_type="space", token=HF_TOKEN)
+    file_df = pd.DataFrame([{ "File": f"<a href='https://huggingface.co/spaces/{username}/{space_id.split('/')[-1]}/edit/main/{file}' target='_blank'>{file}</a>"
+    } for file in files])
+    return file_df
+
+# --- Step 4: Build Gradio interface
+    gr.Markdown(f"# Hugging Face Spaces for `{username}`")
+    with gr.Row():
+        left_df = gr.Dataframe(value=space_df, label="Your Spaces (click a name)",
+            interactive=False,  datatype="str", max_rows=len(space_df), wrap=True )
+        right_df = gr.Dataframe( value=pd.DataFrame(columns=["File"]),
+            label="Files in Selected Space",  interactive=False, wrap=True )
+
+    left_df.select(fn=load_space_files, outputs=right_df)
+'''