Upload app.py

app.py

@@ -30,8 +30,10 @@ except:
 
 '''
 def perform_asde_inference(text, dataset, model_id):
+    print(text)
     if not text:
-        df = pd.read_csv('pyabsa_english.csv')
+        if model_id == "PyABSA_Hospital_English_allenai/tk-instruct-base-def-pos_FinedTuned_Model":
+            df = pd.read_csv('pyabsa_english.csv')#validation dataset
         random_i = np.random.randint(low=0, high=df.shape[0], size=(1,)).flat[0]
         selected_df = df.iloc[random_i]
         text = selected_df['clean_text']