Update api.py

api.py

@@ -78,23 +78,21 @@ def detect_hands(image):
 
     return subImgs
 
-def predict(image):
-    img = image.astype("float32") / 255.0
-    img = np.expand_dims(img, axis=0)
-    pred = model.predict(img, verbose=0)
-    label = label_encoder.inverse_transform([np.argmax(pred)])[0]
-    return label
+# def predict(image):
+#     img = image.astype("float32") / 255.0
+#     img = np.expand_dims(img, axis=0)
+#     pred = model.predict(img, verbose=0)
+#     label = label_encoder.inverse_transform([np.argmax(pred)])[0]
+#     return label
 
 # Prediction function
-# def predict(image):
-#     img = cv2.resize(image, (64, 64))
-#     img = np.expand_dims(img, axis=0)  # Add batch dimension
-#     prediction = model.predict(img, verbose=0)
-#     predicted_class = np.argmax(prediction)
-#     print(predicted_class)
-#     predicted_label = label_encoder.classes_[predicted_class]
-#     print(predicted_label)
-#     return predicted_label
+def predict(image):
+    img = cv2.resize(image, (64, 64))
+    img = np.expand_dims(img, axis=0)  # Add batch dimension
+    prediction = model.predict(img, verbose=0)
+    predicted_class = np.argmax(prediction)
+    predicted_label = label_encoder.classes_[predicted_class]
+    return predicted_label
 
 @app.post("/ipredict")
 async def ipredict(image: UploadFile = File(...)):