Update app.py

app.py

@@ -20,7 +20,7 @@ class YOLODetect():
         return render
 
 # Inicializa el modelo YOLOv8
-path_best_model = 'yolov8n.pt'
+path_best_model = 'yolov8n-pose.pt'
 modelo_yolo = YOLO(path_best_model)
 
 def detect_objects(im, size, iou, conf):
@@ -52,7 +52,7 @@ def save_feedback(size, iou, conf,
 
 # Configura la interfaz de Gradio
 with gr.Blocks() as demo:
-    gr.Markdown("# YOLOv8 Detección de objetos")
+    gr.Markdown("# YOLOv8 Detección de postura")
 
     with gr.Row():
         iou_threshold = gr.Slider(label="NMS IoU Threshold (0.0 - 1.0)", minimum=0.0, maximum=1.0, value=0.8)
@@ -63,7 +63,7 @@ with gr.Blocks() as demo:
         uploaded_image = gr.Image(type="pil", label="Cargar imagen")
         result_image = gr.Image(label="Resultado")
     
-    detect_btn = gr.Button("Detectar objetos")
+    detect_btn = gr.Button("Detectar postura")
     
     objects_table = gr.DataFrame(label="Objetos detectados")
     feedback = gr.Textbox(label="Ingrese su feedback (máximo 100 caracteres)", max_lines=2)