import gradio as gr
from transformers import pipeline

# Load model from Hugging Face
model_name = "MarieAngeA13/Sentiment-Analysis-BERT"
classifier = pipeline("sentiment-analysis", model=model_name)

# Prediction function
def predict_sentiment(text):
    if text.strip() == "":
        return "Please enter some text."

    result = classifier(text)[0]
    label = result["label"]
    score = result["score"]

    return f"Sentiment: {label} (Confidence: {score:.2f})"

# Gradio UI
iface = gr.Interface(
    fn=predict_sentiment,
    inputs=gr.Textbox(lines=5, placeholder="Enter your review here..."),
    outputs="text",
    title="Sentiment Analysis App",
    description="Enter a review to classify it as Positive or Negative using a Hugging Face model."
)

# Launch app
if __name__ == "__main__":
    iface.launch()