import gradio as gr
from transformers import pipeline

# Load the sentiment-analysis pipeline with a more reliable model
model = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")

# Function for sentiment analysis
def analyze_sentiment(feedback_text):
    result = model(feedback_text)
    sentiment = result[0]['label']  # The model outputs something like 'POSITIVE' or 'NEGATIVE'
    confidence = result[0]['score']  # The confidence score for the sentiment
    return sentiment, confidence

# Gradio interface
iface = gr.Interface(fn=analyze_sentiment, 
                     inputs="text", 
                     outputs=["text", "number"],
                     live=True)  # Set live=True to provide instant results as you type

# Launch the interface
iface.launch()