app.py

import gradio as gr
from transformers import pipeline
from gradio.components import Textbox

# Load the sentiment analysis pipeline with DistilBERT
distilbert_pipeline = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
label_map = {"POSITIVE":"OTHER", "NEGATIVE":"SENSITIVE"}


def predict_sentiment(text):
    """
    Predicts the sentiment of the input text using DistilBERT.
    :param text: str, input text to analyze.
    :return: str, predicted sentiment and confidence score.
    """
    result = distilbert_pipeline(text)[0]
    label = label_map[result['label']]
    score = result['score']
    return f"TAG: {label}, Confidence: {score:.2f}"

input1 = Textbox(lines=2, placeholder="Type your text here...")

# Create a Gradio interface
iface = gr.Interface(fn=predict_sentiment,
                     inputs=input1,
                     outputs="text",
                     title="Talk2Loop Sensitive statement tags",
                     description="This model predicts the sensitivity of the input text. Enter a sentence to see if it's sensitive or not.")

# Launch the interface
iface.launch()