ChatGLM2-6B: 基于Transformer 的对话式 AI 模型

"""Override Chatbot.postprocess""\

def postprocess(self, y): if y is None: return [] for i, (message, response) in enumerate(y): y[i] = ( None if message is None else mdtex2html.convert((message)), None if response is None else mdtex2html.convert(response), ) return y

gr.Chatbot.postprocess = postprocess

def parse_text(text): """copy from https://github.com/GaiZhenbiao/ChuanhuChatGPT/""
lines = text.split("\n") lines = [line for line in lines if line != """] count = 0 for i, line in enumerate(lines): if "```" in line: count += 1 items = line.split('') if count % 2 == 1: lines[i] = f'<pre><code class="language-{items[-1]}">' else: lines[i] = f'<br></code></pre>' else: if i > 0: if count % 2 == 1: line = line.replace("," "\`"") line = line.replace("<", "<") line = line.replace(">", ">") line = line.replace(" ", " ") line = line.replace("*", "*") line = line.replace("_", "_") line = line.replace("-", "-") line = line.replace(".", ".") line = line.replace("!", "!") line = line.replace("(", "(") line = line.replace(")", ")") line = line.replace("$", "$") lines[i] = "
"+line text = "".join(lines) return text

def predict(input, chatbot, max_length, top_p, temperature, history, past_key_values): chatbot.append((parse_text(input), "")) for response, history, past_key_values in model.stream_chat(tokenizer, input, history, past_key_values=past_key_values, return_past_key_values=True, max_length=max_length, top_p=top_p, temperature=temperature): chatbot[-1] = (parse_text(input), parse_text(response))

    yield chatbot, history, past_key_values

def reset_user_input(): return gr.update(value='')

def reset_state(): return [], [], None

with gr.Blocks() as demo: gr.HTML(""<h1 align="center">ChatGLM2-6B"")

chatbot = gr.Chatbot()
with gr.Row():
    with gr.Column(scale=4):
        with gr.Column(scale=12):
            user_input = gr.Textbox(show_label=False, placeholder=\"Input...\", lines=10).style(
                container=False)
        with gr.Column(min_width=32, scale=1):
            submitBtn = gr.Button(\"Submit\", variant=\"primary\")
    with gr.Column(scale=1):
        emptyBtn = gr.Button(\"Clear History\")
        max_length = gr.Slider(0, 32768, value=8192, step=1.0, label=\"Maximum length\", interactive=True)
        top_p = gr.Slider(0, 1, value=0.8, step=0.01, label=\"Top P\", interactive=True)
        temperature = gr.Slider(0, 1, value=0.95, step=0.01, label=\"Temperature\", interactive=True)

history = gr.State([])
past_key_values = gr.State(None)

submitBtn.click(predict, [user_input, chatbot, max_length, top_p, temperature, history, past_key_values],
                [chatbot, history, past_key_values], show_progress=True)
submitBtn.click(reset_user_input, [], [user_input])

emptyBtn.click(reset_state, outputs=[chatbot, history, past_key_values], show_progress=True)

demo.queue().launch(share=False, inbrowser=True)