Update app.py

app.py

@@ -7,7 +7,7 @@ import pandas as pd
 import numpy as np
 import IPython
 import streamlit as st
-import subprocess
+#import subprocess
 from itertools import islice
 import random
 #from transformers import pipeline
@@ -15,15 +15,12 @@ from transformers import TapasTokenizer, TapasForQuestionAnswering
 
 tf.get_logger().setLevel('ERROR')
 
-#def install(package):
-#subprocess.run("python -m pip install torch-scatter -f https://data.pyg.org/whl/torch-1.10.0+cu102.html", shell=True)
-try:
+#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))
+ #   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))
     
-#install('torch-scatter -f https://data.pyg.org/whl/torch-1.10.0+cu102.html')
 
 model_name = 'google/tapas-base-finetuned-wtq'
 #model_name =  "table-question-answering"