Error: 500, Message: {"errors":[{"message":"AiError: AiError: Unknown internal error","code":3028}],"success":false,"result":{},"messages":[]}

Error: 500, Message: {"errors":[{"message":"AiError: AiError: Unknown internal error","code":3028}],"success":false,"result":{},"messages":[]}

Error: 400, Message: {"errors":[{"message":"AiError: AiError: Tensor error: failed to build tensor image: Tensor error: Unknown internal error: failed to decode u8","code":3016}],"success":false,"result":{},"messages":[]}

Error: 400, Message: {"errors":[{"message":"AiError: AiError: Tensor error: failed to build tensor image: Tensor error: Unknown internal error: failed to decode u8","code":3016}],"success":false,"result":{},"messages":[]}

def read_image_binary(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode("utf-8")
    
def read_image_array(image_path):
    with Image.open(image_path) as image_file:
        image = image_file.convert('L')
        image_array = np.array(image)
        image_array_flat = image_array.flatten().tolist()
        return image_array_flat

def cat_prompt_only(model, image_data):
    print(type(image_data))
    # post
    response = requests.post(
        f"{API_BASE_URL}{model}",
        headers = {"Authorization": f"Bearer {AUTH_TOKEN}"},
        json = {
            "prompt": "What's the animal in the picture?",
            "image": image_data,
        }
    )

    if response.status_code == 200:
        result = response.json()
        return result
    else:
        print(f"Error: {response.status_code}, Message: {response.text}")
        with open("output.txt", "a") as f:
            f.write(response.text)
        return "Error!"

im = read_image_array(r"cat.png")
output = cat_prompt_only("@cf/meta/llama-3.2-11b-vision-instruct", im)
print(output)

def read_image_binary(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode("utf-8")
    
def read_image_array(image_path):
    with Image.open(image_path) as image_file:
        image = image_file.convert('L')
        image_array = np.array(image)
        image_array_flat = image_array.flatten().tolist()
        return image_array_flat

def cat_prompt_only(model, image_data):
    print(type(image_data))
    # post
    response = requests.post(
        f"{API_BASE_URL}{model}",
        headers = {"Authorization": f"Bearer {AUTH_TOKEN}"},
        json = {
            "prompt": "What's the animal in the picture?",
            "image": image_data,
        }
    )

    if response.status_code == 200:
        result = response.json()
        return result
    else:
        print(f"Error: {response.status_code}, Message: {response.text}")
        with open("output.txt", "a") as f:
            f.write(response.text)
        return "Error!"

im = read_image_array(r"cat.png")
output = cat_prompt_only("@cf/meta/llama-3.2-11b-vision-instruct", im)
print(output)