app.py

import gradio as gr
from joblib import load
from huggingface_hub import hf_hub_download
import pandas as pd

# Baixe o modelo do Hugging Face Hub
model_path = hf_hub_download(
    repo_id="coan/botClaiton",
    filename="model.pkl",
    use_auth_token=True  # Caso o repositório seja privado
)

# Carregue o modelo
model = joblib.load(model_path)

# Carregar o modelo diretamente do Hugging Face
model_path = hf_hub_download(repo_id="coan/botClaiton", filename="model.joblib")
model = load(model_path)

# Função de previsão
def predict_price(open_price, high_price, low_price, volume):
    # Criar um dataframe com os dados de entrada
    data = pd.DataFrame({
        "Open": [open_price],
        "High": [high_price],
        "Low": [low_price],
        "Volume": [volume],
    })