Create app.py

app.py

@@ -0,0 +1,272 @@
+# 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 -U')
+os.system('pip install gradio==3.*')
+
+# os.environ['CUDA_VISIBLE_DEVICES'] = '0,1'
+from argparse import ArgumentParser
+from pathlib import Path
+
+import copy
+import gradio as gr
+import os
+import re
+import secrets
+import tempfile
+import requests
+from http import HTTPStatus
+from dashscope import MultiModalConversation
+import dashscope
+import dotenv
+from dotenv import load_dotenv
+load_dotenv()
+API_KEY = os.getenv('API_KEY')
+dashscope.api_key = API_KEY
+
+DEFAULT_CKPT_PATH = 'qwen/Qwen-VL-Chat'
+REVISION = 'v1.0.4'
+BOX_TAG_PATTERN = r"<box>([\s\S]*?)</box>"
+PUNCTUATION = "！？。＂＃＄％＆＇（）＊＋，－／：；＜＝＞＠［＼］＾＿｀｛｜｝～｟｠｢｣､、〃》「」『』【】〔〕〖〗〘〙〚〛〜〝〞〟〰〾〿–—‘’‛“”„‟…‧﹏."
+
+
+def _get_args():
+    parser = ArgumentParser()
+    parser.add_argument("-c", "--checkpoint-path", type=str, default=DEFAULT_CKPT_PATH,
+                        help="Checkpoint name or path, default to %(default)r")
+    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("$", "&#36;")
+                lines[i] = "<br>" + line
+    text = "".join(lines)
+    return text
+
+
+"""
+('/tmp/gradio/1837abb0176495ff182050801ebff1fa9b18fc4a/aiyinsitan.jpg',),
+  None],
+ ['这是谁？',
+  '图中是爱因斯坦，阿尔伯特·爱因斯坦（Albert '
+  'Einstein），是出生于德国、拥有瑞士和美国国籍的犹太裔理论物理学家，他创立了现代物理学的两大支柱的相对论及量子力学。'],
+ ['框处里面的人', '图中框内是爱因斯坦的半身照，照片中爱因斯坦穿着一件西装，留着标志性的胡子和蜷曲的头发。'],
+ ['框出里面的人',
+  ('/tmp/gradio/71cf5c2551009fd9a00e0d80bc7ab7fb8de211b5/tmp115aba5d70.jpg',)],
+ [None, '里面的人'],
+ ('介绍一下',
+  '阿尔伯特·爱因斯坦（Albert '
+  'Einstein），是出生于德国、拥有瑞士和美国国籍的犹太裔理论物理学家，他创立了现代物理学的两大支柱的相对论及量子力学。他的贡献包括他提出的相对论（尤其是狭义相对论和广义相对论）、量子力学的开创性贡献以及他对于 '
+  'gravity 的贡献。爱因斯坦也是诺贝尔奖得主以及美国公民。')]
+"""
+
+def _remove_image_special(text):
+    text = text.replace('<ref>', '').replace('</ref>', '')
+    return re.sub(r'<box>.*?(</box>|$)', '', text)
+
+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)):
+                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', messages=messages, 
+            seed=np.random.randint(0, np.iinfo(np.int64).max),
+            top_p=0.001,
+            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("Qwen-VL-Chat: " + _parse_text(full_response))
+        # task_history = task_history[-10:]
+        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))
+        return predict(_chatbot, task_history)
+
+    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("""<center><font size=8>Qwen-VL-Max</center>""")
+        gr.Markdown(
+            """\
+<center><font size=3>This WebUI is based on Qwen-VL-Max, the upgraded version of Qwen-VL, developed by Alibaba Cloud.</center>""")
+        gr.Markdown("""<center><font size=3>本WebUI基于Qwen-VL-Max，这是Qwen-VL的升级版。</center>""")
+        gr.Markdown("""\
+<center><font size=4> \
+<a href="https://github.com/QwenLM/Qwen-VL#qwen-vl-plus">Github</a>&nbsp ｜ &nbsp
+Qwen-VL <a href="https://modelscope.cn/models/qwen/Qwen-VL/summary">🤖 </a> 
+| <a href="https://huggingface.co/Qwen/Qwen-VL">🤗</a>&nbsp ｜ 
+Qwen-VL-Chat <a href="https://modelscope.cn/models/qwen/Qwen-VL-Chat/summary">🤖 </a> | 
+<a href="https://huggingface.co/Qwen/Qwen-VL-Chat">🤗</a>&nbsp ｜
+Qwen-VL-Plus 
+<a href="https://huggingface.co/spaces/Qwen/Qwen-VL-Plus">🤗</a>&nbsp
+<a href="https://modelscope.cn/studios/qwen/Qwen-VL-Chat-Demo/summary">🤖 </a>&nbsp ｜
+Qwen-VL-Max 
+<a href="https://huggingface.co/spaces/Qwen/Qwen-VL-Max">🤗</a>&nbsp
+<a href="https://modelscope.cn/studios/qwen/Qwen-VL-Max/summary">🤖 </a>&nbsp ｜ 
+<a href="https://qianwen.aliyun.com">Web</a> |
+<a href="https://help.aliyun.com/zh/dashscope/developer-reference/vl-plus-quick-start/">API</a></center>""")
+
+        chatbot = gr.Chatbot(label='Qwen-VL-Max', 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"])
+            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]).then(
+            predict, [chatbot, task_history], [chatbot], show_progress=True
+        )
+        submit_btn.click(reset_user_input, [], [query])
+        empty_bin.click(reset_state, [task_history], [chatbot], show_progress=True)
+        regen_btn.click(regenerate, [chatbot, task_history], [chatbot], show_progress=True)
+        addfile_btn.upload(add_file, [chatbot, task_history, addfile_btn], [chatbot, task_history], show_progress=True)
+
+        gr.Markdown("""\
+<font size=2>Note: This demo is governed by the original license of Qwen-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Qwen-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().launch(
+        share=args.share,
+        # 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()