Fix Paths Idefics2

app.py

@@ -76,17 +76,17 @@ def load_embeddings(model, version, embedding_prefix, weight_factor):
                 "pretrained": df_pretratrained}
     
     elif model == "Idefics2":
-        df_real = pd.read_csv(f"data/idefics2_{version}_de_Rodrigo_merit_secret_britanico_{embedding_prefix}embeddings.csv")
-        df_par = pd.read_csv(f"data/idefics2_{version}_de_Rodrigo_merit_es-digital-paragraph-degradation-seq_{embedding_prefix}embeddings.csv")
-        df_line = pd.read_csv(f"data/idefics2_{version}_de_Rodrigo_merit_es-digital-line-degradation-seq_{embedding_prefix}embeddings.csv")
-        df_seq  = pd.read_csv(f"data/idefics2_{version}_de_Rodrigo_merit_es-digital-seq_{embedding_prefix}embeddings.csv")
-        df_rot  = pd.read_csv(f"data/idefics2_{version}_de_Rodrigo_merit_es-digital-rotation-degradation-seq_{embedding_prefix}embeddings.csv")
-        df_zoom = pd.read_csv(f"data/idefics2_{version}_de_Rodrigo_merit_es-digital-zoom-degradation-seq_{embedding_prefix}embeddings.csv")
-        df_render = pd.read_csv(f"data/idefics2_{version}_de_Rodrigo_merit_es-render-seq_{embedding_prefix}embeddings.csv")
+        df_real = pd.read_csv(f"data/donut/{version}/{embedding_prefix}/de_Rodrigo_merit_secret_britanico_{weight_factor}embeddings.csv")
+        df_par = pd.read_csv(f"data/donut/{version}/{embedding_prefix}/de_Rodrigo_merit_es-digital-paragraph-degradation-seq_{weight_factor}embeddings.csv")
+        df_line = pd.read_csv(f"data/donut/{version}/{embedding_prefix}/de_Rodrigo_merit_es-digital-line-degradation-seq_{weight_factor}embeddings.csv")
+        df_seq  = pd.read_csv(f"data/donut/{version}/{embedding_prefix}/de_Rodrigo_merit_es-digital-seq_{weight_factor}embeddings.csv")
+        df_rot  = pd.read_csv(f"data/donut/{version}/{embedding_prefix}/de_Rodrigo_merit_es-digital-rotation-degradation-seq_{weight_factor}embeddings.csv")
+        df_zoom = pd.read_csv(f"data/donut/{version}/{embedding_prefix}/de_Rodrigo_merit_es-digital-zoom-degradation-seq_{weight_factor}embeddings.csv")
+        df_render = pd.read_csv(f"data/donut/{version}/{embedding_prefix}/de_Rodrigo_merit_es-render-seq_{weight_factor}embeddings.csv")
         
         # Cargar ambos subconjuntos pretrained y combinarlos
-        df_pretratrained_PDFA = pd.read_csv(f"data/idefics2_{version}_de_Rodrigo_merit_aux_PDFA_{embedding_prefix}embeddings.csv")
-        df_pretratrained_IDL = pd.read_csv(f"data/idefics2_{version}_de_Rodrigo_merit_aux_IDL_{embedding_prefix}embeddings.csv")
+        df_pretratrained_PDFA = pd.read_csv(f"data/donut/{version}/{embedding_prefix}/de_Rodrigo_merit_aux_PDFA_{weight_factor}embeddings.csv")
+        df_pretratrained_IDL = pd.read_csv(f"data/donut/{version}/{embedding_prefix}/de_Rodrigo_merit_aux_IDL_{weight_factor}embeddings.csv")
         df_pretratrained = pd.concat([df_pretratrained_PDFA, df_pretratrained_IDL], ignore_index=True)
         
         # Asignar etiquetas de versión