Fix: Interactive image upload and API sync for Gradio 5.5

app.py

@@ -4,24 +4,10 @@ try:
     import audioop_lts
     sys.modules["audioop"] = audioop_lts
 except ImportError:
-    # Si no está, creamos un mock para que Gradio no colapse
     from unittest.mock import MagicMock
     sys.modules["audioop"] = MagicMock()
 # ------------------------------------------------
 
-# --- PARCHE DE GRADIO_CLIENT (BOOL BUG) ---
-try:
-    import gradio_client.utils as client_utils
-    def new_get_type(schema):
-        if isinstance(schema, bool): return "Any"
-        try: return old_get_type(schema)
-        except: return "Any"
-    if hasattr(client_utils, "get_type"):
-        old_get_type = client_utils.get_type
-        client_utils.get_type = new_get_type
-except: pass
-# ------------------------------------------
-
 import spaces
 import gradio as gr
 import torch
@@ -70,6 +56,9 @@ def generate_video(prompt, init_image, lora_scale):
     kwargs = {"prompt": prompt, "negative_prompt": NEG_DEFAULT, "num_frames": 49, 
               "num_inference_steps": 30, "generator": torch.Generator("cuda").manual_seed(42)}
     if init_image is not None:
+        # Conversión segura de imagen para Gradio 5
+        if isinstance(init_image, dict):
+            init_image = init_image["composite"] if "composite" in init_image else init_image["background"]
         kwargs["image"] = Image.fromarray(init_image).convert("RGB").resize((768, 512))
     if lora_scale > 0:
         kwargs["cross_attention_kwargs"] = {"scale": lora_scale}
@@ -78,6 +67,7 @@ def generate_video(prompt, init_image, lora_scale):
     export_to_video(output.frames[0], tmp.name, fps=24)
     return tmp.name
 
+# INTERFAZ
 with gr.Blocks(title="Image Utility v2.1") as demo:
     gr.HTML("<h1 style='text-align:center;'>🛠 Image Processing Utility v2.1.4</h1>")
     with gr.Tabs():
@@ -91,7 +81,7 @@ with gr.Blocks(title="Image Utility v2.1") as demo:
                     with gr.Row():
                         t2i_w = gr.Slider(512, 1024, 1024, step=64, label="X-Axis")
                         t2i_h = gr.Slider(512, 1024, 1024, step=64, label="Y-Axis")
-                    t2i_btn = gr.Button("Execute Process")
+                    t2i_btn = gr.Button("Execute Process", variant="primary")
                 t2i_out = gr.Image(label="Output Preview")
             t2i_btn.click(generate_t2i, [t2i_p, t2i_n, t2i_lora, t2i_ls, t2i_w, t2i_h], t2i_out)
 
@@ -99,10 +89,12 @@ with gr.Blocks(title="Image Utility v2.1") as demo:
             with gr.Row():
                 with gr.Column():
                     v_p = gr.Textbox(label="Motion Vector String", lines=3)
-                    v_img = gr.Image(label="Source Buffer", type="numpy")
+                    # Mejora en el componente de imagen para permitir carga directa
+                    v_img = gr.Image(label="Source Buffer", type="numpy", sources=["upload", "clipboard"])
                     v_ls = gr.Slider(0, 1.5, 0.8, label="Motion Weight")
-                    v_btn = gr.Button("Process Sequence")
+                    v_btn = gr.Button("Process Sequence", variant="primary")
                 v_out = gr.Video(label="Sequence Output")
             v_btn.click(generate_video, [v_p, v_img, v_ls], v_out)
 
-demo.launch(show_api=False)
+# Habilitar cola para ZeroGPU y activar API para sincronización de frontend
+demo.queue(api_open=True).launch(show_api=True)