app.py

import gradio as gr
from transformers import pipeline

# Use a financial/crypto-specific model
sentiment_pipeline = pipeline(
    "sentiment-analysis",
    model="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis"
)

def analyze(text):
    result = sentiment_pipeline(text)[0]
    return f"{result['label']} (Confidence: {result['score']:.2f})"

gr.Interface(
    fn=analyze,
    inputs=gr.Textbox(placeholder="Enter crypto news headline..."),
    outputs="text"
).launch()