diff --git a/web_demo.py b/web_demo.py
new file mode 100755
index 0000000..e5f15a1
--- /dev/null
+++ b/web_demo.py
@@ -0,0 +1,164 @@
+#!/usr/bin/env python3
+
+from transformers import AutoTokenizer
+import gradio as gr
+import mdtex2html
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from transformers.generation import GenerationConfig
+from argparse import ArgumentParser
+import sys
+
+print("Call args:" + str(sys.argv))
+parser = ArgumentParser()
+parser.add_argument("--share", action="store_true", default=False)
+parser.add_argument("--inbrowser", action="store_true", default=False)
+parser.add_argument("--server_port", type=int, default=80)
+parser.add_argument("--server_name", type=str, default="0.0.0.0")
+parser.add_argument("--exit", action="store_true", default=False)
+parser.add_argument("--model_revision", type=str, default="")
+args = parser.parse_args(sys.argv[1:])
+print("Args:" + str(args))
+
+tokenizer = AutoTokenizer.from_pretrained(
+    "Qwen/Qwen-7B-Chat", trust_remote_code=True, resume_download=True
+)
+
+model = AutoModelForCausalLM.from_pretrained(
+    "Qwen/Qwen-7B-Chat",
+    device_map="auto",
+    trust_remote_code=True,
+    resume_download=True,
+    **{"revision": args.model_revision}
+    if args.model_revision is not None
+    and args.model_revision != ""
+    and args.model_revision != "None"
+    else {},
+).eval()
+
+model.generation_config = GenerationConfig.from_pretrained(
+    "Qwen/Qwen-7B-Chat", trust_remote_code=True, resume_download=True
+)
+
+if "exit" in args:
+    if args.exit:
+        sys.exit(0)
+    else:
+        del args.exit
+
+if "model_revision" in args:
+    del args.model_revision
+
+
+def postprocess(self, y):
+    if y is None:
+        return []
+    for i, (message, response) in enumerate(y):
+        y[i] = (
+            None if message is None else mdtex2html.convert((message)),
+            None if response is None else mdtex2html.convert(response),
+        )
+    return y
+
+
+gr.Chatbot.postprocess = postprocess
+
+
+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("`", "\`")
+                    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
+
+
+task_history = []
+
+
+def predict(query, chatbot):
+    print("User: " + parse_text(query))
+    chatbot.append((parse_text(query), ""))
+    fullResponse = ""
+
+    for response in model.chat_stream(tokenizer, query, history=task_history):
+        chatbot[-1] = (parse_text(query), parse_text(response))
+
+        yield chatbot
+        fullResponse = parse_text(response)
+
+    task_history.append((query, fullResponse))
+    print("Qwen-7B-Chat: " + parse_text(fullResponse))
+
+
+def regenerate(chatbot):
+    if not task_history:
+        yield chatbot
+        return
+    item = task_history.pop(-1)
+    chatbot.pop(-1)
+    yield from predict(item[0], chatbot)
+
+
+def reset_user_input():
+    return gr.update(value="")
+
+
+def reset_state():
+    task_history.clear()
+    return []
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("""<p align="center"><img src="https://modelscope.cn/api/v1/models/qwen/Qwen-7B-Chat/repo?Revision=master&FilePath=assets/logo.jpeg&View=true" style="height: 80px"/><p>""")
+    gr.Markdown("""<center><font size=8>Qwen-7B-Chat Bot</center>""")
+    gr.Markdown(
+        """<center><font size=3>This WebUI is based on Qwen-7B-Chat, developed by Alibaba Cloud. (本WebUI基于Qwen-7B-Chat打造，实现聊天机器人功能。)</center>"""
+    )
+    gr.Markdown(
+        """<center><font size=4>Qwen-7B <a href="https://modelscope.cn/models/qwen/Qwen-7B/summary">🤖 <a> | <a href="https://huggingface.co/Qwen/Qwen-7B">🤗</a>&nbsp ｜ Qwen-7B-Chat <a href="https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary">🤖 <a>| <a href="https://huggingface.co/Qwen/Qwen-7B-Chat">🤗</a>&nbsp ｜ &nbsp<a href="https://github.com/QwenLM/Qwen-7B">Github</a></center>"""
+    )
+
+    chatbot = gr.Chatbot(lines=10, label='Qwen-7B-Chat', elem_classes="control-height")
+    query = gr.Textbox(lines=2, label='Input')
+
+    with gr.Row():
+        emptyBtn = gr.Button("🧹 Clear History (清除历史)")
+        submitBtn = gr.Button("🚀 Submit (发送)")
+        regenBtn = gr.Button("🤔️ Regenerate (重试)")
+
+    submitBtn.click(predict, [query, chatbot], [chatbot], show_progress=True)
+    submitBtn.click(reset_user_input, [], [query])
+    emptyBtn.click(reset_state, outputs=[chatbot], show_progress=True)
+    regenBtn.click(regenerate, [chatbot], [chatbot], show_progress=True)
+
+    gr.Markdown(
+        """<font size=2>Note: This demo is governed by the original license of Qwen-7B. 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-7B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。)"""
+    )
+
+if len(sys.argv) > 1:
+    demo.queue().launch(**vars(args))
+else:
+    demo.queue().launch()