error

app.py

@@ -21,6 +21,7 @@ available_models = {
     "DETR ResNet-50 Face Only": "esraakh/detr_fine_tune_face_detection_final"
 }
 
+
 def load_model(model_key):
     global current_model, current_processor, current_model_name
     model_name = available_models[model_key]
@@ -31,12 +32,14 @@ def load_model(model_key):
         current_model_name = model_name
     return current_model, current_processor
 
+
 def get_font(size=12):
     try:
         return ImageFont.truetype("arial.ttf", size=size)
     except:
         return ImageFont.load_default()
 
+
 translations = {
     "English": {
         "title": "## Enhanced Object Detection App\nUpload an image to detect objects using various DETR models.",
@@ -82,9 +85,11 @@ translations = {
     }
 }
 
+
 def t(language, key):
     return translations.get(language, translations["English"]).get(key, key)
 
+
 def get_translated_model_choices(language):
     model_mapping = {
         "DETR ResNet-50": "model_fast",
@@ -102,6 +107,7 @@ def get_translated_model_choices(language):
         translated_choices.append(translated_name)
     return translated_choices
 
+
 def get_model_key_from_translation(translated_name, language):
     model_mapping = {
         "DETR ResNet-50": "model_fast",
@@ -116,9 +122,11 @@ def get_model_key_from_translation(translated_name, language):
         return translated_name
     return "DETR ResNet-50"
 
+
 # Translation logic (only if ENABLE_TRANSLATION and model is local)
 translation_cache = {}
 
+
 def translate_label(language_label, label):
     if language_label == "English" or not ENABLE_TRANSLATION:
         return label
@@ -129,6 +137,7 @@ def translate_label(language_label, label):
     translation_cache[cache_key] = f"{label} (no translation)"
     return translation_cache[cache_key]
 
+
 def detect_objects(image, language_selector, translated_model_selector, threshold):
     try:
         if image is None:
@@ -200,10 +209,14 @@ def detect_objects(image, language_selector, translated_model_selector, threshol
         traceback.print_exc()
         return None, f"Error detecting objects: {e}"
 
+
 def build_app():
+    # Crear componentes con referencias globales
+    title = gr.Markdown(t("English", "title"))
+
     with gr.Blocks(theme=gr.themes.Soft()) as app:
-        with gr.Row():
-            title = gr.Markdown(t("English", "title"))
+        title.render()
+
         with gr.Row():
             with gr.Column(scale=1):
                 language_selector = gr.Dropdown(
@@ -225,6 +238,7 @@ def build_app():
                     step=0.05,
                     label=t("English", "threshold_label")
                 )
+
         with gr.Row():
             with gr.Column(scale=1):
                 input_image = gr.Image(type="pil", label=t("English", "input_label"))
@@ -236,39 +250,69 @@ def build_app():
                     lines=10,
                     max_lines=15
                 )
+
         def update_interface(selected_language):
-            translated_choices = get_translated_model_choices(selected_language)
-            default_model = t(selected_language, "model_fast")
-            return [
-                gr.update(value=t(selected_language, "title")),
-                gr.update(label=t(selected_language, "dropdown_label")),
-                gr.update(
+            try:
+                translated_choices = get_translated_model_choices(selected_language)
+                default_model = t(selected_language, "model_fast")
+
+                # Asegurar que default_model está en las opciones
+                if default_model not in translated_choices:
+                    default_model = translated_choices[0] if translated_choices else "General Objects (fast)"
+
+                updates = []
+                updates.append(gr.update(value=t(selected_language, "title")))  # title
+                updates.append(gr.update(label=t(selected_language, "dropdown_label")))  # language_selector
+                updates.append(gr.update(
                     choices=translated_choices,
                     value=default_model,
                     label=t(selected_language, "dropdown_detection_model_label")
-                ),
-                gr.update(label=t(selected_language, "threshold_label")),
-                gr.update(label=t(selected_language, "input_label")),
-                gr.update(value=t(selected_language, "button")),
-                gr.update(label=t(selected_language, "output_label")),
-                gr.update(label=t(selected_language, "info_label"))
-            ]
+                ))  # model_selector
+                updates.append(gr.update(label=t(selected_language, "threshold_label")))  # threshold_slider
+                updates.append(gr.update(label=t(selected_language, "input_label")))  # input_image
+                updates.append(gr.update(value=t(selected_language, "button")))  # button
+                updates.append(gr.update(label=t(selected_language, "output_label")))  # output_image
+                updates.append(gr.update(label=t(selected_language, "info_label")))  # detection_info
+
+                return updates
+            except Exception as e:
+                print(f"Error in update_interface: {e}")
+                import traceback
+                traceback.print_exc()
+                # Retornar valores por defecto en caso de error
+                return [
+                    gr.update(),  # title
+                    gr.update(),  # language_selector
+                    gr.update(),  # model_selector
+                    gr.update(),  # threshold_slider
+                    gr.update(),  # input_image
+                    gr.update(),  # button
+                    gr.update(),  # output_image
+                    gr.update()  # detection_info
+                ]
+
+        # Configurar el evento de cambio de idioma
         language_selector.change(
             fn=update_interface,
-            inputs=language_selector,
+            inputs=[language_selector],
             outputs=[title, language_selector, model_selector, threshold_slider,
                      input_image, button, output_image, detection_info],
             queue=False
         )
+
+        # Configurar el botón de detección
         button.click(
             fn=detect_objects,
             inputs=[input_image, language_selector, model_selector, threshold_slider],
             outputs=[output_image, detection_info]
         )
+
     return app
 
+
+# Precargar modelo por defecto
 load_model("DETR ResNet-50")
 
 if __name__ == "__main__":
     app = build_app()
-    app.launch()
+    app.launch()