import pandas as pd
import gradio as gr

def load_data_from_file(file_obj):
    try:
        df = pd.read_csv(file_obj.name, sep=";")
        if df.empty:
            gr.Warning("Le fichier CSV est vide.")
            return None, 0
        
        required_cols = [f"{lm}_{axis}_mean" for lm in ["SHOULDER", "ELBOW", "WRIST", "INDEX", "THUMB"] for axis in ['X', 'Y', 'Z']]
        if not all(col in df.columns for col in required_cols):
            gr.Warning("Colonnes manquantes dans le fichier CSV.")
            return None, 0
        
        return df, len(df)
    
    except Exception as e:
        gr.Error(f"Erreur de lecture CSV: {str(e)}")
        return None, 0