Update app.py

app.py

@@ -6,7 +6,7 @@ IMG_SIZE = (224, 224)
 MODEL_PATH = "dental_classifier_model.keras"
 CLASS_NAMES = ['no_valido', 'valido']
 
-# Cargar modelo una vez
+# Cargar modelo
 model = tf.keras.models.load_model(MODEL_PATH)
 
 def preprocess_image(img):
@@ -28,19 +28,23 @@ def predecir(rx_image):
     other_class = CLASS_NAMES[other_index]
     other_confidence = score[other_index] * 100
     
-    # Resultado grande con estilo
+    # Caja grande sin scroll
     resultado_texto = f"""
     <div style='
-        font-size:40px; 
+        font-size:36px; 
         text-align:center; 
-        padding:30px; 
+        padding:40px; 
+        height:350px;
         border: 3px solid #4CAF50; 
-        border-radius:20px; 
+        border-radius:25px; 
         background-color:#f0f0f0;
+        display:flex;
+        flex-direction:column;
+        justify-content:center;
     '>
-    Resultado: <b>{predicted_class.upper()}</b><br>
-    Confianza: {confidence:.2f}%<br>
-    Probabilidad {other_class}: {other_confidence:.2f}%
+        <div>Resultado: <b>{predicted_class.upper()}</b></div>
+        <div>Confianza: {confidence:.2f}%</div>
+        <div>Probabilidad {other_class}: {other_confidence:.2f}%</div>
     </div>
     """
     
@@ -55,7 +59,7 @@ with gr.Blocks(theme="default") as demo:
             rx_input = gr.Image(
                 type="numpy", 
                 label="Sube tu RX", 
-                source="upload"  # Solo upload, sin webcam ni portapapeles
+                source="upload"
             )
             boton = gr.Button("Analizar")
         with gr.Column():