Update app.py

app.py

@@ -88,7 +88,7 @@ if uploaded_file is not None:
     prediction_groups = pipeline.recognize([read_image])
     predictions = prediction_groups[0] # extract text list
     predictions = get_distance(predictions)
-    del pipeline
+    
     # Set thresh higher for text further apart
     predictions = list(distinguish_rows(predictions, thresh=10))
 
@@ -106,7 +106,7 @@ if uploaded_file is not None:
     #st.write(sentance)
 
     input_text =sentance
-    print(text)
+    print(input_text)
     """inputs = tokenizer(text,padding = True, truncation = True, return_tensors='pt').to('cpu')
     outputs = model_2(**inputs)
     predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)