Update app.py

app.py

@@ -15,13 +15,6 @@ from transformers import TapasTokenizer, TapasForQuestionAnswering
 
 tf.get_logger().setLevel('ERROR')
 
-#try:
-    #print(sys.executable)
- #   subprocess.check_call(["/home/user/.local/lib/python3.8", "-m", "pip", "install", 'torch-scatter','-f', 'https://data.pyg.org/whl/torch-1.10.0+cpu.html'])
-#except Exception as e:
- #   print('Error..', str(e))
-    
-
 model_name = 'google/tapas-base-finetuned-wtq'
 #model_name =  "table-question-answering"
 #model = pipeline(model_name)
@@ -59,8 +52,8 @@ def styling_specific_cell(x,tags,colors):
     
 if st.button('Predict Answers'):
     with st.spinner('It will take approx a minute'):
-        data = data.astype(str)
-        inputs = tokenizer(table=data, queries=input_queries, padding='max_length',truncation=True, return_tensors="pt")
+        table = data.astype(str)
+        inputs = tokenizer(table=table , queries=input_queries, padding='max_length',truncation=True, return_tensors="pt")
         outputs = model(**inputs)
         #outputs = model(table = data, query = queries)
         predicted_answer_coordinates, predicted_aggregation_indices = tokenizer.convert_logits_to_predictions( inputs, outputs.logits.detach(), outputs.logits_aggregation.detach())