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from rwkvstic.load import RWKV | |
import torch | |
model = RWKV( | |
"https://huggingface.co/BlinkDL/rwkv-4-pile-1b5/resolve/main/RWKV-4-Pile-1B5-Instruct-test1-20230124.pth", | |
"pytorch(cpu/gpu)", | |
runtimedtype=torch.float32, | |
useGPU=torch.cuda.is_available(), | |
dtype=torch.float32 | |
) | |
import gradio as gr | |
def predict(input, history=None): | |
model.setState(history) | |
model.loadContext(newctx=f"{input}\n\nBot: ") | |
r = model.forward(number=100,stopStrings=["User: "]) | |
rr = [(input,r["output"])] | |
return rr, r["state"] | |
with gr.Blocks() as demo: | |
chatbot = gr.Chatbot() | |
state = model.emptyState | |
ctx, state = model.loadContext(newctx="User: ") | |
state = gr.State(state) | |
with gr.Row(): | |
txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(container=False) | |
txt.submit(predict, [txt, state], [chatbot, state]) | |
demo.launch() | |