Upload sentimentAnalysisITA.py

sentimentAnalysisITA.py

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+
+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")
+
+
+pipe = pipeline("text-classification", model="Taraassss/sentiment_analysis_IT")
+
+def sentiment_analysis(text):
+    result = pipe(text) 
+    sentiment = result[0]['label']  
+    score = result[0]['score']  
+    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()