app.py

import gradio as gr
from transformers import pipeline
# Load a tweet classification model from Hugging Face
classifier = pipeline("text-classification", model="finiteautomata/bertweet-base-sentiment-analysis")

def classify_tweet(tweet):
    result = classifier(tweet)[0]
    label = result['label']
    score = result['score']
    return f"Label: {label} (Confidence: {score:.2f})"

# Create the Gradio interface
iface = gr.Interface(
    fn=classify_tweet,
    inputs=gr.Textbox(lines=3, placeholder="Enter a tweet here..."),
    outputs="text",
    title="Tweet Classifier",
    description="Enter a tweet and click the button to classify it!"
)

# Launch the app
iface.launch()