app.py

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

def analyze_text(text):
    try:
        tokenizer = AutoTokenizer.from_pretrained("avichr/heBERT_sentiment_analysis")
        model = AutoModelForSequenceClassification.from_pretrained("avichr/heBERT_sentiment_analysis")
        
        classifier = pipeline(
            "sentiment-analysis",
            model=model,
            tokenizer=tokenizer
        )
        
        result = classifier(text)
        return str(result)
    except Exception as e:
        return f"Error: {str(e)}"

interface = gr.Interface(
    fn=analyze_text,
    inputs=gr.Textbox(label="הכנס טקסט בעברית"),
    outputs=gr.Textbox(label="תוצאה"),
    title="ניתוח רגשות בעברית"
)

interface.launch()