sentimentAnalysisITA.py

from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification
import gradio as gr

pipe = pipeline("text-classification", model="Taraassss/sentiment_analysis_IT")
tokenizer = AutoTokenizer.from_pretrained("Taraassss/sentiment_analysis_IT")
model = AutoModelForSequenceClassification.from_pretrained("Taraassss/sentiment_analysis_IT")




def sentiment_analysis(text): 
    result = pipe(text)
    sentiment = result[0]['label']  
    score = result[0]['score']  # Confidenza del modello
    return f"Sentiment: {sentiment}, Confidence: {score:.2f}"


iface = gr.Interface(
    fn=sentiment_analysis, 
    inputs=gr.Textbox(lines=2, placeholder="Inserisci il testo da analizzare..."),  
    outputs="text",  
    title="Analisi del Sentimento Italiano",
    description="Inserisci una frase in italiano per analizzare il sentimento.",
)

iface.launch()