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code refactoring
Browse files
app.py
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# import gradio as gr
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# from transformers import AutoTokenizer, AutoModelForSequenceClassification
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# import torch
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# device = 'cuda' if torch.cuda.is_available() else 'cpu'
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# model_id = "Rahmat82/DistilBERT-finetuned-on-emotion"
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# tokenizer = AutoTokenizer.from_pretrained(model_id, return_tensors="pt", use_fast=True)
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# model = AutoModelForSequenceClassification.from_pretrained(model_id)
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# model.to(device)
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import gradio as gr
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from transformers import pipeline, AutoTokenizer
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from optimum.onnxruntime import ORTModelForSequenceClassification
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import gradio as gr
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from transformers import pipeline, AutoTokenizer
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from optimum.onnxruntime import ORTModelForSequenceClassification
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