Update app.py

app.py

@@ -2,8 +2,9 @@ import os
 import gradio as gr
 import numpy as np
 import random
-from huggingface_hub import AsyncInferenceClient, InferenceClient
+from pathlib import Path
 from PIL import Image
+from huggingface_hub import AsyncInferenceClient, InferenceClient
 from gradio_client import Client, handle_file
 from gradio_imageslider import ImageSlider
 
@@ -13,6 +14,10 @@ HF_TOKEN_UPSCALER = os.environ.get("HF_TOKEN_UPSCALER")
 client = AsyncInferenceClient()
 llm_client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
 
+# Directorio de almacenamiento de imágenes
+DATA_PATH = Path("./data")
+DATA_PATH.mkdir(exist_ok=True)  # Asegura que el directorio exista
+
 def enable_lora(lora_add, basemodel):
     return basemodel if not lora_add else lora_add
 
@@ -57,15 +62,15 @@ async def gen(prompt, basemodel, width, height, scales, steps, seed, upscale_fac
     if isinstance(image, str) and image.startswith("Error"):
         return [image, None]
 
-    image_path = "temp_image.jpg"
+    image_path = DATA_PATH / f"image_{seed}.jpg"
     image.save(image_path, format="JPEG")
 
     if process_upscale:
         upscale_image_path = get_upscale_finegrain(combined_prompt, image_path, upscale_factor)
         if upscale_image_path:
             upscale_image = Image.open(upscale_image_path)
-            upscale_image.save("upscale_image.jpg", format="JPEG")
-            return [image_path, "upscale_image.jpg"]
+            upscale_image.save(DATA_PATH / f"upscale_image_{seed}.jpg", format="JPEG")
+            return [image_path, DATA_PATH / f"upscale_image_{seed}.jpg"]
         else:
             return [image_path, image_path]
     else:
@@ -82,6 +87,18 @@ async def improve_prompt(prompt):
     except Exception as e:
         return f"Error mejorando el prompt: {e}"
 
+def get_storage():
+    files = [
+        {
+            "name": str(file.resolve()),  
+            "size": file.stat().st_size,
+        }
+        for file in DATA_PATH.glob("*.jpg") 
+        if file.is_file()
+    ]
+    usage = sum([f['size'] for f in files])
+    return [file["name"] for file in files], f"Uso total: {usage/(1024.0 ** 3):.3f}GB"
+
 css = """
 #col-container{ margin: 0 auto; max-width: 1024px;}
 """
@@ -90,9 +107,9 @@ with gr.Blocks(css=css, theme="Nymbo/Nymbo_Theme") as demo:
     with gr.Column(elem_id="col-container"):
         with gr.Row():
             with gr.Column(scale=3):
-                output_res = ImageSlider(label="Flux / Upscaled")
+                output_res = ImageSlider(label="Generadas / Escaladas")
             with gr.Column(scale=2):
-                prompt = gr.Textbox(label="Descripción de imágen")
+                prompt = gr.Textbox(label="Descripción de imagen")
                 basemodel_choice = gr.Dropdown(
                     label="Modelo", 
                     choices=["black-forest-labs/FLUX.1-schnell", "black-forest-labs/FLUX.1-DEV"],
@@ -107,7 +124,7 @@ with gr.Blocks(css=css, theme="Nymbo/Nymbo_Theme") as demo:
                     process_lora = gr.Checkbox(label="Procesar LORA")
                     process_upscale = gr.Checkbox(label="Procesar Escalador")
                 improved_prompt = gr.Textbox(label="Prompt Mejorado", interactive=False)
-                improve_btn = gr.Button("Mejora mi prompt")
+                improve_btn = gr.Button("Mejorar prompt")
                 improve_btn.click(fn=improve_prompt, inputs=[prompt], outputs=improved_prompt)
                 with gr.Accordion(label="Opciones Avanzadas", open=False):
                     width = gr.Slider(label="Ancho", minimum=512, maximum=1280, step=8, value=1280)
@@ -122,4 +139,10 @@ with gr.Blocks(css=css, theme="Nymbo/Nymbo_Theme") as demo:
                     inputs=[prompt, basemodel_choice, width, height, scales, steps, seed, upscale_factor, process_upscale, lora_model_choice, process_lora], 
                     outputs=output_res
                 )
-    demo.launch()
+        with gr.Row():
+            with gr.Column():
+                file_list = gr.Gallery(label="Imágenes Guardadas")  # Usar Gallery en lugar de Files
+                storage_info = gr.Text(label="Uso de Almacenamiento")
+            refresh_btn = gr.Button("Actualizar Galería")
+            refresh_btn.click(fn=get_storage, inputs=None, outputs=[file_list, storage_info])
+    demo.launch(allowed_paths=[str(DATA_PATH)])