bug fix with OAuth

app.py

@@ -12,10 +12,9 @@ from huggingface_hub import CommitScheduler
 # ------------------------------
 # Config
 # ------------------------------
-DATASET_REPO_ID = "hugging-science/dataset-quest-index"
+DATASET_REPO_ID = "hugging-science/dataset-quest-index"  
 COMMIT_EVERY_MIN = 2
 
-# Local folder where submissions are accumulated before CommitScheduler pushes them
 LOCAL_SUBMISSIONS_DIR = Path("submissions")
 LOCAL_SUBMISSIONS_DIR.mkdir(parents=True, exist_ok=True)
 LOCAL_FILE = LOCAL_SUBMISSIONS_DIR / f"records_{uuid.uuid4().hex}.jsonl"
@@ -28,7 +27,6 @@ scheduler = CommitScheduler(
     every=COMMIT_EVERY_MIN,
 )
 
-
 # ------------------------------
 # Utilities
 # ------------------------------
@@ -37,7 +35,6 @@ def _now_iso() -> str:
 
 
 def read_all_records() -> List[Dict[str, Any]]:
-    """Read all jsonl records from LOCAL_SUBMISSIONS_DIR into a list."""
     records: List[Dict[str, Any]] = []
     for p in sorted(LOCAL_SUBMISSIONS_DIR.glob("*.jsonl")):
         try:
@@ -49,7 +46,6 @@ def read_all_records() -> List[Dict[str, Any]]:
                     try:
                         records.append(json.loads(line))
                     except Exception:
-                        # Skip malformed lines
                         pass
         except FileNotFoundError:
             pass
@@ -81,17 +77,6 @@ def filter_records(records: List[Dict[str, Any]], field: str | None, search: str
 # ------------------------------
 # App logic
 # ------------------------------
-FIELDS = [
-    "NLP",
-    "Computer Vision",
-    "Audio",
-    "Multimodal",
-    "Reinforcement Learning",
-    "Time Series",
-    "Tabular",
-    "Other",
-]
-
 SIZE_UNITS = ["KB", "MB", "GB", "TB"]
 
 
@@ -104,7 +89,6 @@ def submit_entry(
     field: str,
     profile: gr.OAuthProfile | None,
 ):
-    # Basic validation
     errors = []
     if not dataset_name.strip():
         errors.append("Dataset name is required.")
@@ -112,8 +96,8 @@ def submit_entry(
         errors.append("Dataset URL must be an http(s) link.")
     if size_value is None or size_value < 0:
         errors.append("Approximate size must be a non-negative number.")
-    if field not in FIELDS:
-        errors.append("Please choose a field.")
+    if not field.strip():
+        errors.append("Please provide a field.")
 
     if errors:
         return gr.update(value=f"Submission failed:\n- " + "\n- ".join(errors), visible=True), gr.update(visible=False)
@@ -129,15 +113,13 @@ def submit_entry(
         "description": description.strip(),
         "approx_size": float(size_value),
         "size_unit": size_unit,
-        "field": field,
+        "field": field.strip(),
         "user": user_handle or user_display,
     }
 
     append_record(record)
-    # Return success notice and refresh table
     ok = f"Thanks, {user_display}. Your entry has been saved locally and will sync to the Hub within ~{COMMIT_EVERY_MIN} minutes."
     updated = read_all_records()
-    # Project to a neat table
     rows = [
         [r["dataset_name"], r["dataset_url"], r["description"], f"{r['approx_size']} {r['size_unit']}", r["field"], r["user"], r["created_at"]]
         for r in updated
@@ -171,13 +153,13 @@ with gr.Blocks(title="Community Dataset Index", css=".wrap {max-width: 1200px; m
             with gr.Row():
                 size_val = gr.Number(label="Approx. size", minimum=0, value=0)
                 size_unit = gr.Dropdown(SIZE_UNITS, value="GB", label="Unit")
-            field = gr.Dropdown(FIELDS, label="Field", value="NLP")
+            field = gr.Textbox(label="Field (e.g. PDEs, multi-omics, single-cell, catalysts, etc.)")
             submit = gr.Button("Submit", variant="primary")
             notice = gr.Markdown(visible=False)
         with gr.Column(scale=2):
             gr.Markdown("### Browse & filter")
             with gr.Row():
-                field_filter = gr.Dropdown(["All"] + FIELDS, value="All", label="Field filter")
+                field_filter = gr.Textbox(label="Field filter (leave blank for all)")
                 search = gr.Textbox(label="Search", placeholder="Search name, URL, description, user…")
                 refresh = gr.Button("Refresh")
             table = gr.Dataframe(
@@ -187,10 +169,9 @@ with gr.Blocks(title="Community Dataset Index", css=".wrap {max-width: 1200px; m
                 wrap=True,
             )
 
-    # Wire events
     submit.click(
         submit_entry,
-        inputs=[name, url, desc, size_val, size_unit, field, gr.OAuthProfile()],
+        inputs=[name, url, desc, size_val, size_unit, field],
         outputs=[notice, table],
         show_progress="minimal",
     )
@@ -199,9 +180,8 @@ with gr.Blocks(title="Community Dataset Index", css=".wrap {max-width: 1200px; m
     field_filter.change(refresh_table, inputs=[field_filter, search], outputs=table)
     search.submit(refresh_table, inputs=[field_filter, search], outputs=table)
 
-    # Populate on launch
-    demo.load(lambda: refresh_table("All", ""), inputs=None, outputs=table)
+    demo.load(lambda: refresh_table("", ""), inputs=None, outputs=table)
 
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()