Update app.py

app.py

@@ -70,7 +70,7 @@ def load_hf_dataset(name: str):
     from datasets import load_dataset
     if name == "sentiment140":
         # 1.6M tweets; we'll stream and sample later
-        ds = load_dataset("sentiment140")
+        ds = load_dataset("sentiment140", trust_remote_code=True)
         # columns: ['sentiment','ids','date','query','user','text']
         return ds
     elif name == "tweet_eval":
@@ -277,4 +277,4 @@ with gr.Blocks(title="Tariff Tweet Sentiment (No Twitter API)") as demo:
     run_btn.click(_go, [dataset_choice, keywords_csv, max_rows, include_wordcloud], [summary_md, bar_plot, wc_plot, table, csv])
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()