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Runtime error
Runtime error
test app
Browse files
app.py
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# coding=utf-8
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# Copyright 2023 WisdomShell Inc. All Rights Reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This code is based on Qwen's web Demo. It has been modified from
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# its original forms to accommodate CodeShell.
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# Copyright (c) Alibaba Cloud.
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#
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# This source code is licensed under the license found in the
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# LICENSE file in the root directory of this source tree.
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"""A simple web interactive chat demo based on gradio."""
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import os
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from argparse import ArgumentParser
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import gradio as gr
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import mdtex2html
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from transformers.generation import GenerationConfig
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DEFAULT_CKPT_PATH = 'WisdomShell/CodeShell-7B-Chat'
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def _get_args():
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parser = ArgumentParser()
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parser.add_argument("-c", "--checkpoint-path", type=str, default=DEFAULT_CKPT_PATH,
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help="Checkpoint name or path, default to %(default)r")
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parser.add_argument("--device", type=str, default="cuda:0", help="GPU device.")
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parser.add_argument("--share", action="store_true", default=False,
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help="Create a publicly shareable link for the interface.")
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parser.add_argument("--inbrowser", action="store_true", default=False,
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help="Automatically launch the interface in a new tab on the default browser.")
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parser.add_argument("--server-port", type=int, default=8000,
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help="Demo server port.")
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parser.add_argument("--server-name", type=str, default="127.0.0.1",
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help="Demo server name.")
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args = parser.parse_args()
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return args
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def _load_model_tokenizer(args):
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tokenizer = AutoTokenizer.from_pretrained(
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args.checkpoint_path, trust_remote_code=True, resume_download=True,
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)
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model = AutoModelForCausalLM.from_pretrained(
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args.checkpoint_path,
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device_map=args.device,
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trust_remote_code=True,
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resume_download=True,
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torch_dtype=torch.bfloat16
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).eval()
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config = GenerationConfig.from_pretrained(
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args.checkpoint_path, trust_remote_code=True, resume_download=True,
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)
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return model, tokenizer, config
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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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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("`", r"\`")
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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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def _gc():
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import gc
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gc.collect()
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if torch.cuda.is_available():
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torch.cuda.empty_cache()
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def _launch_demo(args, model, tokenizer, config):
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def predict(_query, _chatbot, _task_history):
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print(f"User: {_parse_text(_query)}")
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_chatbot.append((_parse_text(_query), ""))
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full_response = ""
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for response in model.chat(_query, _task_history, tokenizer, generation_config=config, stream=True):
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response = response.replace('|end|', '')
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response = response.replace('|<end>|', '')
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_chatbot[-1] = (_parse_text(_query), _parse_text(response))
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yield _chatbot
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full_response = _parse_text(response)
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print(f"History: {_task_history}")
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_task_history.append((_query, full_response))
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print(f"CodeShell-Chat: {_parse_text(full_response)}")
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def regenerate(_chatbot, _task_history):
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if not _task_history:
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yield _chatbot
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return
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item = _task_history.pop(-1)
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_chatbot.pop(-1)
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yield from predict(item[0], _chatbot, _task_history)
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def reset_user_input():
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return gr.update(value="")
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def reset_state(_chatbot, _task_history):
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_task_history.clear()
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_chatbot.clear()
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_gc()
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return _chatbot
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with gr.Blocks() as demo:
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gr.Markdown("""<center><font size=8>CodeShell-Chat Bot</center>""")
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chatbot = gr.Chatbot(label='CodeShell-Chat', elem_classes="control-height")
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query = gr.Textbox(lines=2, label='Input')
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task_history = gr.State([])
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with gr.Row():
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empty_btn = gr.Button("🧹 Clear History (清除历史)")
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submit_btn = gr.Button("🚀 Submit (发送)")
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regen_btn = gr.Button("🤔️ Regenerate (重试)")
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submit_btn.click(predict, [query, chatbot, task_history], [chatbot], show_progress=True)
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submit_btn.click(reset_user_input, [], [query])
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empty_btn.click(reset_state, [chatbot, task_history], outputs=[chatbot], show_progress=True)
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regen_btn.click(regenerate, [chatbot, task_history], [chatbot], show_progress=True)
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gr.Markdown("""\
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<font size=2>Note: This demo is governed by the original license of CodeShell. \
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We strongly advise users not to knowingly generate or allow others to knowingly generate harmful content, \
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including hate speech, violence, pornography, deception, etc. \
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(注:本演示受CodeShell的许可协议限制。我们强烈建议,用户不应传播及不应允许他人传播以下内容,\
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包括但不限于仇恨言论、暴力、色情、欺诈相关的有害信息。)""")
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demo.queue().launch(
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share=args.share,
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inbrowser=args.inbrowser,
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server_port=args.server_port,
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server_name=args.server_name,
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)
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def main():
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args = _get_args()
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model, tokenizer, config = _load_model_tokenizer(args)
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_launch_demo(args, model, tokenizer, config)
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if __name__ == '__main__':
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main()
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