# 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"([\s\S]*?)" 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'
'
            else:
                lines[i] = f"
" else: if i > 0: if count % 2 == 1: line = line.replace("`", r"\`") 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 _remove_image_special(text): text = text.replace('', '').replace('', '') return re.sub(r'.*?(|$)', '', 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("""\

""") gr.Markdown("""

Qwen2-VL-72B
""") gr.Markdown( """\
This WebUI is based on Qwen2-VL-72B, developed by Alibaba Cloud.
""") gr.Markdown("""
本WebUI基于Qwen2-VL-72B。
""") 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("""\ 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()