app.py

# Copyright (c) Alibaba Cloud.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import numpy as np
from urllib3.exceptions import HTTPError
os.system('pip install dashscope  modelscope oss2 -U')

from argparse import ArgumentParser
from pathlib import Path

import copy
import gradio as gr
import oss2
import os
import re
import secrets
import tempfile
import requests
from http import HTTPStatus
from dashscope import MultiModalConversation
import dashscope
API_KEY = os.environ['API_KEY']
ENDPOINT = os.environ['ENDPOINT']
AK_ID = os.environ['AK_ID']
AK = os.environ['AK']
BUCKET_NAME = os.environ['BUCKET_NAME']
dashscope.api_key = API_KEY
endpoint = ENDPOINT
auth = oss2.Auth(AK_ID, AK)
bucket = oss2.Bucket(auth, endpoint, BUCKET_NAME)

REVISION = 'v1.0.4'
BOX_TAG_PATTERN = r"<box>([\s\S]*?)</box>"
PUNCTUATION = "！？。＂＃＄％＆＇（）＊＋，－／：；＜＝＞＠［＼］＾＿｀｛｜｝～｟｠｢｣､、〃》「」『』【】〔〕〖〗〘〙〚〛〜〝〞〟〰〾〿–—‘’‛“”„‟…‧﹏."


def _get_args():
    parser = ArgumentParser()
    parser.add_argument("--revision", type=str, default=REVISION)
    parser.add_argument("--cpu-only", action="store_true", help="Run demo with CPU only")

    parser.add_argument("--share", action="store_true", default=False,
                        help="Create a publicly shareable link for the interface.")
    parser.add_argument("--inbrowser", action="store_true", default=False,
                        help="Automatically launch the interface in a new tab on the default browser.")
    parser.add_argument("--server-port", type=int, default=7860,
                        help="Demo server port.")
    parser.add_argument("--server-name", type=str, default="127.0.0.1",
                        help="Demo server name.")

    args = parser.parse_args()
    return args

def _parse_text(text):
    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("`", r"\`")
                    line = line.replace("<", "&lt;")
                    line = line.replace(">", "&gt;")
                    line = line.replace(" ", "&nbsp;")
                    line = line.replace("*", "&ast;")
                    line = line.replace("_", "&lowbar;")
                    line = line.replace("-", "&#45;")
                    line = line.replace(".", "&#46;")
                    line = line.replace("!", "&#33;")
                    line = line.replace("(", "&#40;")
                    line = line.replace(")", "&#41;")
                    line = line.replace("$", "&#36;")
                lines[i] = "<br>" + line
    text = "".join(lines)
    return text


def _remove_image_special(text):
    text = text.replace('<ref>', '').replace('</ref>', '')
    return re.sub(r'<box>.*?(</box>|$)', '', text)


def is_video_file(filename):
    video_extensions = ['.mp4', '.avi', '.mkv', '.mov', '.wmv', '.flv', '.webm', '.mpeg']
    return any(filename.lower().endswith(ext) for ext in video_extensions)


def _launch_demo(args):
    uploaded_file_dir = os.environ.get("GRADIO_TEMP_DIR") or str(
        Path(tempfile.gettempdir()) / "gradio"
    )

    def predict(_chatbot, task_history):
        chat_query = _chatbot[-1][0]
        query = task_history[-1][0]
        if len(chat_query) == 0:
            _chatbot.pop()
            task_history.pop()
            return _chatbot
        print("User: " + _parse_text(query))
        history_cp = copy.deepcopy(task_history)
        full_response = ""
        messages = []
        content = []
        for q, a in history_cp:
            if isinstance(q, (tuple, list)):
                if is_video_file(q[0]):
                    key = q[0].split(os.sep)[-2]
                    bucket.put_object_from_file(key, q[0])
                    url = bucket.sign_url('GET', key, 3600)
                    content.append({'video': url})
                else:
                    content.append({'image': f'file://{q[0]}'})
            else:
                content.append({'text': q})
                messages.append({'role': 'user', 'content': content})
                messages.append({'role': 'assistant', 'content': [{'text': a}]})
                content = []
        messages.pop()
        responses = MultiModalConversation.call(
            model='qwen-vl-max-0809', messages=messages, stream=True,
        )
        for response in responses:
            if not response.status_code == HTTPStatus.OK:
                raise HTTPError(f'response.code: {response.code}\nresponse.message: {response.message}')
            response = response.output.choices[0].message.content
            response_text = []
            for ele in response:
                if 'text' in ele:
                    response_text.append(ele['text'])
                elif 'box' in ele:
                    response_text.append(ele['box'])
            response_text = ''.join(response_text)
            _chatbot[-1] = (_parse_text(chat_query), _remove_image_special(response_text))
            yield _chatbot

        if len(response) > 1:
            result_image = response[-1]['result_image']
            resp = requests.get(result_image)
            os.makedirs(uploaded_file_dir, exist_ok=True)
            name = f"tmp{secrets.token_hex(20)}.jpg"
            filename = os.path.join(uploaded_file_dir, name)
            with open(filename, 'wb') as f:
                f.write(resp.content)
            response = ''.join(r['box'] if 'box' in r else r['text'] for r in response[:-1])
            _chatbot.append((None, (filename,)))
        else:
            response = response[0]['text']
            _chatbot[-1] = (_parse_text(chat_query), response)
        full_response = _parse_text(response)

        task_history[-1] = (query, full_response)
        print("Qwen2-VL-Chat: " + _parse_text(full_response))
        yield _chatbot


    def regenerate(_chatbot, task_history):
        if not task_history:
            return _chatbot
        item = task_history[-1]
        if item[1] is None:
            return _chatbot
        task_history[-1] = (item[0], None)
        chatbot_item = _chatbot.pop(-1)
        if chatbot_item[0] is None:
            _chatbot[-1] = (_chatbot[-1][0], None)
        else:
            _chatbot.append((chatbot_item[0], None))
        _chatbot_gen = predict(_chatbot, task_history)
        for _chatbot in _chatbot_gen:
            yield _chatbot

    def add_text(history, task_history, text):
        task_text = text
        history = history if history is not None else []
        task_history = task_history if task_history is not None else []
        history = history + [(_parse_text(text), None)]
        task_history = task_history + [(task_text, None)]
        return history, task_history, ""

    def add_file(history, task_history, file):
        history = history if history is not None else []
        task_history = task_history if task_history is not None else []
        history = history + [((file.name,), None)]
        task_history = task_history + [((file.name,), None)]
        return history, task_history

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

    def reset_state(task_history):
        task_history.clear()
        return []

    with gr.Blocks() as demo:
        gr.Markdown("""\
<p align="center"><img src="https://modelscope.oss-cn-beijing.aliyuncs.com/resource/qwen.png" style="height: 80px"/><p>""")
        gr.Markdown("""<center><font size=8>Qwen2-VL-72B</center>""")
        gr.Markdown(
            """\
<center><font size=3>This WebUI is based on Qwen2-VL-72B, developed by Alibaba Cloud.</center>""")
        gr.Markdown("""<center><font size=3>本WebUI基于Qwen2-VL-72B。</center>""")

        chatbot = gr.Chatbot(label='Qwen2-VL-72B', elem_classes="control-height", height=500)
        query = gr.Textbox(lines=2, label='Input')
        task_history = gr.State([])

        with gr.Row():
            addfile_btn = gr.UploadButton("📁 Upload (上传文件)", file_types=["image", "video"])
            submit_btn = gr.Button("🚀 Submit (发送)")
            regen_btn = gr.Button("🤔️ Regenerate (重试)")
            empty_bin = gr.Button("🧹 Clear History (清除历史)")

        submit_btn.click(add_text, [chatbot, task_history, query], [chatbot, task_history],concurrency_limit = 40).then(
            predict, [chatbot, task_history], [chatbot], show_progress=True
        )
        submit_btn.click(reset_user_input, [], [query],concurrency_limit = 40)
        empty_bin.click(reset_state, [task_history], [chatbot], show_progress=True,concurrency_limit = 40)
        regen_btn.click(regenerate, [chatbot, task_history], [chatbot], show_progress=True,concurrency_limit = 40)
        addfile_btn.upload(add_file, [chatbot, task_history, addfile_btn], [chatbot, task_history], show_progress=True,concurrency_limit = 40)

        gr.Markdown("""\
<font size=2>Note: This demo is governed by the original license of Qwen2-VL. \
We strongly advise users not to knowingly generate or allow others to knowingly generate harmful content, \
including hate speech, violence, pornography, deception, etc. \
(注：本演示受Qwen2-VL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，\
包括但不限于仇恨言论、暴力、色情、欺诈相关的有害信息。)""")

    demo.queue(api_open=False,default_concurrency_limit=40).launch(
        share=args.share,
        max_threads=40,
        # inbrowser=args.inbrowser,
        # server_port=args.server_port,
        # server_name=args.server_name,
    )


def main():
    args = _get_args()
    _launch_demo(args)


if __name__ == '__main__':
    main()