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141 lines
4.4 KiB
Python
141 lines
4.4 KiB
Python
#!/usr/bin/env python3
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""" Ref: https://github.com/THUDM/ChatGLM2-6B/blob/main/web_demo.py """
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from transformers import AutoTokenizer
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import gradio as gr
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import mdtex2html
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from transformers.generation import GenerationConfig
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from argparse import ArgumentParser
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import sys
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print("Call args:" + str(sys.argv))
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parser = ArgumentParser()
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parser.add_argument("--share", action="store_true", default=False)
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parser.add_argument("--inbrowser", action="store_true", default=False)
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parser.add_argument("--server_port", type=int, default=80)
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parser.add_argument("--server_name", type=str, default="0.0.0.0")
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parser.add_argument("--exit", action="store_true", default=False)
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parser.add_argument("--model_revision", type=str, default="")
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args = parser.parse_args(sys.argv[1:])
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print("Args:" + str(args))
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tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-7B-Chat", trust_remote_code=True, resume_download=True)
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model = AutoModelForCausalLM.from_pretrained(
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"Qwen/Qwen-7B-Chat",
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device_map="auto",
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trust_remote_code=True,
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resume_download=True,
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**{"revision": args.model_revision} if args.model_revision is not None and args.model_revision != "" and args.model_revision != "None" else {},
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).eval()
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model.generation_config = GenerationConfig.from_pretrained("Qwen/Qwen-7B-Chat", trust_remote_code=True, resume_download=True)
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if 'exit' in args:
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if args.exit:
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sys.exit(0)
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else:
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del args.exit
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if 'model_revision' in args:
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del args.model_revision
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def postprocess(self, y):
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if y is None:
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return []
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for i, (message, response) in enumerate(y):
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y[i] = (
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None if message is None else mdtex2html.convert((message)),
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None if response is None else mdtex2html.convert(response),
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)
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return y
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gr.Chatbot.postprocess = postprocess
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def parse_text(text):
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"""copy from https://github.com/GaiZhenbiao/ChuanhuChatGPT/"""
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lines = text.split("\n")
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lines = [line for line in lines if line != ""]
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count = 0
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for i, line in enumerate(lines):
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if "```" in line:
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count += 1
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items = line.split('`')
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if count % 2 == 1:
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lines[i] = f'<pre><code class="language-{items[-1]}">'
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else:
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lines[i] = f'<br></code></pre>'
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else:
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if i > 0:
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if count % 2 == 1:
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line = line.replace("`", "\`")
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line = line.replace("<", "<")
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line = line.replace(">", ">")
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line = line.replace(" ", " ")
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line = line.replace("*", "*")
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line = line.replace("_", "_")
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line = line.replace("-", "-")
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line = line.replace(".", ".")
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line = line.replace("!", "!")
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line = line.replace("(", "(")
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line = line.replace(")", ")")
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line = line.replace("$", "$")
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lines[i] = "<br>" + line
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text = "".join(lines)
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return text
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task_history = []
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def predict(input, chatbot):
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print('Q: ' + parse_text(input))
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chatbot.append((parse_text(input), ""))
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fullResponse = ""
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for response in model.chat_stream(tokenizer, input, history=task_history):
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chatbot[-1] = (parse_text(input), parse_text(response))
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yield chatbot
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fullResponse = parse_text(response)
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task_history.append((input, fullResponse))
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print("A: " + parse_text(fullResponse))
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def reset_user_input():
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return gr.update(value='')
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def reset_state():
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task_history = []
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return []
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with gr.Blocks() as demo:
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gr.HTML("""<h1 align="center">通义千问 - QwenLM/Qwen-7B</h1>""")
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chatbot = gr.Chatbot()
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with gr.Row():
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with gr.Column(scale=4):
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with gr.Column(scale=12):
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query = gr.Textbox(show_label=False, placeholder="Input...", lines=10).style(container=False)
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with gr.Column(min_width=32, scale=1):
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submitBtn = gr.Button("Submit", variant="primary")
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with gr.Column(scale=1):
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emptyBtn = gr.Button("Clear History")
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submitBtn.click(predict, [query, chatbot], [chatbot], show_progress=True)
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submitBtn.click(reset_user_input, [], [query])
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emptyBtn.click(reset_state, outputs=[chatbot], show_progress=True)
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if len(sys.argv) > 1:
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demo.queue().launch(**vars(args))
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else:
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demo.queue().launch()
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