multiple objects per image

app.py

@@ -13,17 +13,18 @@ def show_preds_image(image_path):
     image = cv2.imread(image_path)
     outputs = model.predict(source=image_path)
     results = outputs[0]
-    cls = TargetMapper[results.boxes.cls.numpy()[0]]
-    det = results.boxes.xyxy[0]
-    cv2.rectangle(
-        image,
-        (int(det[0]), int(det[1])),
-        (int(det[2]), int(det[3])),
-        color=(0, 0, 255),
-        thickness=2,
-        lineType=cv2.LINE_AA
-    )
-    cv2.putText(image, cls, (int(det[0]), int(det[1])-10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (36,255,12), 2)
+    for i,det in enumerate(results.boxes.xyxy):
+        cls = TargetMapper[results.boxes.cls.numpy()[i]]
+        #det = results.boxes.xyxy[0]
+        cv2.rectangle(
+            image,
+            (int(det[0]), int(det[1])),
+            (int(det[2]), int(det[3])),
+            color=(0, 0, 255),
+            thickness=2,
+            lineType=cv2.LINE_AA
+        )
+        cv2.putText(image, cls, (int(det[0]), int(det[1])-10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (36,255,12), 2)
 
     return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
 
@@ -41,4 +42,4 @@ gr.Interface(
     title="Arab Sign Language Detection app",
     examples=path,
     cache_examples=False,
-).launch()
+).launch(share=True)