updated chkpt for model

sentiment.py

@@ -1,7 +1,8 @@
 import torch
 from transformers import AutoModelForSequenceClassification,AutoTokenizer
 
-model=AutoModelForSequenceClassification.from_pretrained('sentiment_classifier/')
+chkpt='distilbert-base-uncased-finetuned-sst-2-english'
+model=AutoModelForSequenceClassification.from_pretrained(chkpt)
 tokenizer=AutoTokenizer.from_pretrained('sentiment_classifier/')
 
 def classify_sentiment(texts,model=model,tokenizer=tokenizer):

sentiment_onnx.py

@@ -1,20 +1,17 @@
-import numpy as np
 from transformers import AutoTokenizer,AutoModelForSequenceClassification
 import transformers.convert_graph_to_onnx as onnx_convert
 from pathlib import Path
 import transformers
 from onnxruntime.quantization import quantize_dynamic,QuantType
 import onnx
-import torch
 import onnxruntime as ort
-import streamlit as st
 
 """
 type in cmd  to create onnx model of hugging face chkpt
 python3 -m transformers.onnx --model= distilbert-base-uncased-finetuned-sst-2-english sentiment_onnx/
 """
-
-model= AutoModelForSequenceClassification.from_pretrained('sentiment_classifier/')
+chkpt='distilbert-base-uncased-finetuned-sst-2-english'
+model= AutoModelForSequenceClassification.from_pretrained(chkpt)
 tokenizer= AutoTokenizer.from_pretrained('sentiment_classifier/')
 
 """