fix: huggingface_hub version floor, pandas .copy(), flagging_mode

app.py

@@ -81,7 +81,7 @@ def forecast(payload_json: str) -> str:
 
     results = []
     for sym, pred_df, y_ts in zip(symbols, preds, y_ts_list):
-        pred_ohlc = pred_df[['open', 'high', 'low', 'close']].round(2)
+        pred_ohlc = pred_df[['open', 'high', 'low', 'close']].round(2).copy()
         pred_ohlc['date'] = [t.strftime('%Y-%m-%d') for t in y_ts]
         results.append({
             'symbol': sym,
@@ -102,7 +102,7 @@ demo = gr.Interface(
         "POST OHLCV data for up to 6 symbols → receive 3-day OHLC predictions.\n"
         f"Settings: lookback={LOOKBACK} bars | pred_len={PRED_LEN} | T=0.6 | n=5 samples"
     ),
-    allow_flagging="never",
+    flagging_mode="never",
     api_name="predict"
 )
 

requirements.txt

@@ -1,7 +1,7 @@
 torch>=2.0.0
 einops==0.8.1
 safetensors==0.6.2
-huggingface_hub==0.33.1
+huggingface_hub>=0.30
 audioop-lts
 pandas
 numpy<2