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from cLLM.gradio import GradioUserInference
from cLLM.interactors import OpenChatInteract
from cLLM import LlamaCPParams, InferenceSession, LlamaCPPGenerationConfig
from huggingface_hub import hf_hub_download
def launch():
interact = OpenChatInteract(
user_name="User",
assistant_name="cLLM-GPT"
)
params = LlamaCPParams(
model_path=hf_hub_download(
"TheBloke/phi-2-GGUF",
"phi-2.Q4_K_S.gguf"
),
num_threads=8,
verbose=False,
num_batch=512,
num_context=2048,
offload_kqv=True,
)
inference = InferenceSession.create(
llama_params=params,
generation_config=LlamaCPPGenerationConfig(
stream=True,
stop=interact.get_stop_signs()
)
)
interface = GradioUserInference(
interactor=interact,
inference_session=inference,
llama_param=params,
use_prefix_for_interactor=True
)
interface.build_chat_interface().launch()
if __name__ == "__main__":
launch()
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