Fix: Absolute rollback to stable Gradio 4.44.1 environment

app.py

@@ -1,7 +1,7 @@
 import sys
 import os
 
-# --- INYECCIÓN ATÓMICA REFORZADA (HfFolder + audioop) ---
+# --- PARCHES DE COMPATIBILIDAD (Gradio 4 + Python 3.13) ---
 try:
     import huggingface_hub
     class MockHfFolder:
@@ -13,7 +13,6 @@ try:
         def delete_token(): pass
     huggingface_hub.HfFolder = MockHfFolder
     sys.modules["huggingface_hub.HfFolder"] = MockHfFolder
-    setattr(huggingface_hub, "HfFolder", MockHfFolder)
 except: pass
 
 try:
@@ -22,7 +21,7 @@ try:
 except:
     from unittest.mock import MagicMock
     sys.modules["audioop"] = MagicMock()
-# -------------------------------------------------------
+# --------------------------------------------------------
 
 import spaces
 import gradio as gr
@@ -64,8 +63,6 @@ def generate_t2i(prompt, neg, lora_id, lora_scale, w, h, init_img):
         except: pass
     kwargs = {"prompt": prompt, "negative_prompt": neg, "num_inference_steps": 30, "guidance_scale": 7.0}
     if is_img2img:
-        if isinstance(init_img, dict):
-            init_img = init_img["composite"] if "composite" in init_img else init_img["background"]
         kwargs["image"] = Image.fromarray(init_img).convert("RGB").resize((int(w), int(h)))
         kwargs["strength"] = 0.6
     else:
@@ -78,8 +75,6 @@ def generate_video(prompt, init_image, lora_scale):
     pipe = load_video().to("cuda")
     kwargs = {"prompt": prompt, "negative_prompt": NEG_DEFAULT, "num_frames": 49, "num_inference_steps": 30}
     if init_image is not None:
-        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}
@@ -95,7 +90,7 @@ with gr.Blocks(title="Image Utility v2.1") as demo:
             with gr.Row():
                 with gr.Column():
                     t2i_p = gr.Textbox(label="Input Data String", lines=3)
-                    t2i_img = gr.Image(label="Base Reference (Optional)", type="numpy", sources=["upload", "clipboard"])
+                    t2i_img = gr.Image(label="Base Reference (Optional)", type="numpy")
                     t2i_n = gr.Textbox(label="Excluded Data", value=NEG_DEFAULT)
                     t2i_lora = gr.Textbox(label="Extension ID")
                     t2i_ls = gr.Slider(0, 1.5, 0.8, label="Extension Weight")
@@ -109,10 +104,10 @@ 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", sources=["upload", "clipboard"])
+                    v_img = gr.Image(label="Source Buffer", type="numpy")
                     v_ls = gr.Slider(0, 1.5, 0.8, label="Motion Weight")
                     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.queue().launch(show_api=True, ssr=False)
+demo.queue().launch(show_api=False)