2024-01-18 13:46:38 -08:00
|
|
|
import sglang as sgl
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
@sgl.function
|
|
|
|
|
def image_qa(s, image_path, question):
|
|
|
|
|
s += sgl.user(sgl.image(image_path) + question)
|
|
|
|
|
s += sgl.assistant(sgl.gen("answer"))
|
|
|
|
|
|
|
|
|
|
|
2024-01-24 01:51:21 -08:00
|
|
|
# runtime = sgl.Runtime(model_path="liuhaotian/llava-v1.5-7b",
|
|
|
|
|
# tokenizer_path="llava-hf/llava-1.5-7b-hf")
|
|
|
|
|
runtime = sgl.Runtime(model_path="llava-internal/llava-v1.6-7b-hd-224px_3x2-preview-20230103",
|
|
|
|
|
tokenizer_path="llava-internal/llava-v1.6-7b-hd-224px_3x2-preview-20230103-tokenizer")
|
2024-01-18 13:46:38 -08:00
|
|
|
sgl.set_default_backend(runtime)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
state = image_qa.run(image_path="images/cat.jpeg", question="What is this?")
|
|
|
|
|
print(state["answer"])
|
|
|
|
|
|
|
|
|
|
runtime.shutdown()
|
