def run_example_base64()

in florence2-VQA/src_serve/score.py [0:0]

• 17 lines of code
• 2 McCabe index (conditional complexity)

def run_example_base64(task_prompt, text_input, base64_image, params):
 
    max_new_tokens = params["max_new_tokens"]
    num_beams = params["num_beams"]
    
    image = Image.open(BytesIO(base64.b64decode(base64_image)))
    prompt = task_prompt + text_input

    # Ensure the image is in RGB mode
    if image.mode != "RGB":
        image = image.convert("RGB")

    inputs = processor(text=prompt, images=image, return_tensors="pt").to(device)
    generated_ids = model.generate(
        input_ids=inputs["input_ids"],
        pixel_values=inputs["pixel_values"],
        max_new_tokens=max_new_tokens,
        num_beams=num_beams
    )
    generated_text = processor.batch_decode(generated_ids, skip_special_tokens=False)[0]
    parsed_answer = processor.post_process_generation(generated_text, task=task_prompt, image_size=(image.width, image.height))
    return parsed_answer