app.py

import gradio as gr
from transformers import pipeline

examples=["This is wonderful movie!", "The movie was really bad; I didn't like it."]


model_path = "waelChafei/bertuned"


model = BertForSequenceClassification.from_pretrained(model_path)
tokenizer= BertTokenizerFast.from_pretrained(model_path)
nlp= pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)

def text_classification(text):
    result= classifier(text)
    return result
io = gr.Interface(fn=text_classification, 
                         inputs= gr.Textbox(lines=2, label="Text", placeholder="Enter title here..."), 
                         outputs=gr.Textbox(lines=2, label="Text Classification Result"),
                         title="Text Classification",
                         description="Enter a text and see the text classification result!",
                         examples=examples)

io.launch()