try new recog model

app.py

@@ -9,11 +9,12 @@ DECODE_DICT = {i:char for i, char in enumerate(CHARS)}
 interpreter = tf.lite.Interpreter(model_path='detection.tflite')
 interpreter.allocate_tensors()
 recog_interpreter = tf.lite.Interpreter(model_path='recognition.tflite')
+recog_input_details = recog_interpreter.get_input_details()
+recog_output_details = recog_interpreter.get_output_details()
+recog_interpreter.resize_tensor_input(recog_input_details[0]['index'], (1, 24, 94, 3))
 recog_interpreter.allocate_tensors()
 input_details = interpreter.get_input_details()
 output_details = interpreter.get_output_details()
-recog_input_details = recog_interpreter.get_input_details()
-recog_output_details = recog_interpreter.get_output_details()