app.py

import gradio as gr
from transformers import pipeline

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})"

# Explicitly define the Gradio interface with API support
gr.Interface(
    fn=analyze,
    inputs="text",
    outputs="text",
    title="Crypto News Sentiment Analysis",
    allow_flagging="never"
).launch(
    server_name="0.0.0.0",
    server_port=7860,
    share=True  # Generates a public URL
)