Update app.py

app.py

@@ -122,8 +122,8 @@ def predire(image):
     )
     return fig"""
 
-# Solution avec le graphique plus haut
-def predire(image):
+# Solution avec le graphique plus haut (ADAPTER LA HAUTEUR)
+"""def predire(image):
     image_resized = tf.image.resize(image, (224, 224)) / 255.0
     preds = model.predict(tf.expand_dims(image_resized, axis=0))[0]
     sorted_indices = np.argsort(preds)[::-1]
@@ -144,7 +144,25 @@ def predire(image):
     ax.set_title("Probabilités par mouvement pictural", fontsize=14, fontweight='bold', pad=20)
     ax.set_xticklabels(sorted_classes, rotation=45, ha='right', fontsize=13, fontweight='bold')
     fig.tight_layout(pad=2.0)
-    return fig
+    return fig"""
+
+# Façon 5 uniquement sur le texte
+def predire(image):
+    image_resized = tf.image.resize(image, (224, 224)) / 255.0
+    preds = model.predict(tf.expand_dims(image_resized, axis=0))[0]
+    sorted_indices = np.argsort(preds)[::-1]
+    sorted_classes = [classes[i] for i in sorted_indices]
+    sorted_probs = [preds[i] for i in sorted_indices]
+
+    # HTML pour Gradio : barres remplies & label
+    bars = []
+    for cls, prob in zip(sorted_classes, sorted_probs):
+        color = "#2ecc71" if prob >= 0.5 else "#bdc3c7"
+        bars.append(f'''
+        <div style="background:linear-gradient(90deg,{color} {prob*100:.1f}%,#fff {prob*100:.1f}%);padding:6px 0;margin:5px 0;border-radius:4px;">
+            <span style="padding-left:12px;font-size:15px;font-weight:bold;">{cls} — {prob*100:.1f} %</span>
+        </div>''')
+    return gr.HTML("".join(bars))