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import gradio as gr
import os
from pathlib import Path
os.environ["CMAKE_ARGS"] = "-DLLAMA_CUBLAS=on"
os.system('CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install --upgrade --force-reinstall llama-cpp-python --no-cache-dir')
import argparse
model_file = "leo-mistral-hessianai-7b-chat.Q4_K_M.gguf"
if not os.path.isfile(model_file):
os.system("wget -c https://huggingface.co/TheBloke/Leo-Mistral-Hessianai-7B-Chat-GGUF/blob/main/leo-mistral-hessianai-7b-chat.Q4_K_M.gguf")
DEFAULT_MODEL_PATH = model_file
from llama_cpp import Llama
llm = Llama(model_path=model_file, model_type="mistral")
llm._token_eos = 7
def predict(input, chatbot, max_length, top_p, temperature, history):
chatbot.append((input, ""))
response = ""
history.append(input)
for output in llm(input, stream=True, temperature=temperature, top_p=top_p, max_tokens=max_length, stop=["<|im_end|>"]):
piece = output['choices'][0]['text']
response += piece
chatbot[-1] = (chatbot[-1][0], response)
yield chatbot, history
history.append(response)
yield chatbot, history
def reset_user_input():
return gr.update(value="")
def reset_state():
return [], []
with gr.Blocks() as demo:
gr.HTML("""<h1 align="center">Yi-6B-Chat by llama-cpp-python</h1>""")
chatbot = gr.Chatbot()
with gr.Row():
with gr.Column(scale=4):
user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=8)
submitBtn = gr.Button("Submit", variant="primary")
with gr.Column(scale=1):
max_length = gr.Slider(0, 32048, value=2048, step=1.0, label="Maximum Length", interactive=True)
top_p = gr.Slider(0, 1, value=0.7, step=0.01, label="Top P", interactive=True)
temperature = gr.Slider(0, 1, value=0.95, step=0.01, label="Temperature", interactive=True)
emptyBtn = gr.Button("Clear History")
history = gr.State([])
submitBtn.click(
predict, [user_input, chatbot, max_length, top_p, temperature, history], [chatbot, history], show_progress=True
)
submitBtn.click(reset_user_input, [], [user_input])
emptyBtn.click(reset_state, outputs=[chatbot, history], show_progress=True)
demo.queue().launch(share=False, inbrowser=True) |