Create data_loader.py

data_loader.py

@@ -0,0 +1,20 @@
+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