Upload app.py

app.py

@@ -34,6 +34,11 @@ def perform_asde_inference(text, dataset, model_id):
         df = pd.read_csv('pyabsa_english.csv')
         random_i = np.random.randint(low=0, high=df.shape[0], size=(1,)).flat[0]
         selected_df = df.iloc[random_i]
+        print(selected_df.head())
+        print(type(selected_df['clean_text']))
+        print(selected_df['clean_text'])
+        print(selected_df['actual_aspects'])
+        print(selected_df['actual_sentiments'])
         text = str(selected_df['clean_text'].iloc[0])
         true_aspect = str(selected_df['actual_aspects'].iloc[0])
         true_sentiment = str(selected_df['actual_sentiments'].iloc[0])