app.py

import gradio as gr
from transformers import pipeline

# Load the crypto-specific sentiment model
sentiment_pipeline = pipeline(
    "text-classification",
    model="ElKulako/cryptobert",  # Crypto-optimized model
    tokenizer="ElKulako/cryptobert"
)

def analyze(text):
    result = sentiment_pipeline(text)[0]
    return {"label": result["label"], "score": result["score"]}

gr.Interface(
    fn=analyze,
    inputs=gr.Textbox(placeholder="Enter crypto news headline..."),
    outputs=gr.JSON(),
    title="Crypto-Specific Sentiment Analysis",
    flagging_mode="never"
).launch(
    server_name="0.0.0.0",
    server_port=7860
)