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from transformers import pipeline
import gradio as gr
import torch
from transformers import AutoTokenizer, AutoModelForSequenceClassification
model_name="distilbert-base-uncased-finetuned-sst-2-english"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)
classifier = pipeline("sentiment-analysis",model=model, tokenizer=tokenizer)
def get_sentiment(input_text):
return classifier(input_text)
iface=gr.Interface(fn=get_sentiment, inputs="text" ,outputs=["text"], title="Sentiment Analysis",description="Get Sentiment Negative & Positive for given input")
iface.launch(inline=False) |