Add a demo for GLM4, inspired by QWen's demo.

app.py

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+import utils
+import gradio as gr
+
+
+    # response = response.choices[0].message
+    # print(response)
+
+    # role = response.role
+    # content = response.content
+    # system, history = messages_to_history(messages + [{'role': role, 'content': content}])
+    # yield '', history, system
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("""<center><font size=8>ChatGLM-4</center>""")
+
+    with gr.Row():
+        with gr.Column(scale=3):
+            system_input = gr.Textbox(value=utils.default_system, lines=1, label='System')
+        with gr.Column(scale=1):
+            modify_system = gr.Button("🛠️ Set system prompt and clear history", scale=2)
+        system_state = gr.Textbox(value=utils.default_system, visible=False)
+    chatbot = gr.Chatbot(label='ChatGLM-4')
+    textbox = gr.Textbox(lines=2, label='Input')
+
+    with gr.Row():
+        clear_history = gr.Button("🧹 Clear history")
+        sumbit = gr.Button("🚀 Send")
+
+    sumbit.click(utils.model_chat,
+                 inputs=[textbox, chatbot, system_state],
+                 outputs=[textbox, chatbot, system_input],
+                 concurrency_limit = 5)
+    clear_history.click(fn=utils.clear_session,
+                        inputs=[],
+                        outputs=[textbox, chatbot])
+    modify_system.click(fn=utils.modify_system_session,
+                        inputs=[system_input],
+                        outputs=[system_state, system_input, chatbot])
+
+demo.queue(api_open=False)
+demo.launch(max_threads=5)
+

requirements.txt

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+gradio
+zhipuai

utils.py

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+import os 
+from zhipuai import ZhipuAI
+from typing import List, Optional, Tuple, Dict
+from http import HTTPStatus
+
+
+
+History = List[Tuple[str, str]]
+Messages = List[Dict[str, str]]
+
+default_system = 'You are a helpful assistant.'
+
+YOUR_API_TOKEN = os.getenv('YOUR_API_TOKEN')
+
+
+SYSTEM = "assistant"
+USER = "user"
+ASSISTANT = "assistant"
+
+def clear_session() -> History:
+    return '', []
+
+def modify_system_session(system: str) -> str:
+    if system is None or len(system) == 0:
+        system = default_system
+    return system, system, []
+
+def history_to_messages(history: History, system: str) -> Messages:
+    messages = [{'role': SYSTEM, 'content': system}]
+    for h in history:
+        messages.append({'role': USER, 'content': h[0]})
+        messages.append({'role': ASSISTANT, 'content': h[1]})
+    return messages
+
+
+def messages_to_history(messages: Messages) -> Tuple[str, History]:
+    assert messages[0]['role'] == SYSTEM
+    system = messages[0]['content']
+    history = []
+    for q, r in zip(messages[1::2], messages[2::2]):
+        history.append([q['content'], r['content']])
+    return system, history
+
+
+def model_chat(query: Optional[str], history: Optional[History], system: str
+) -> Tuple[str, str, History]:
+    if query is None:
+        query = ''
+    if history is None:
+        history = []
+    messages = history_to_messages(history, system)
+    messages.append({'role': USER, 'content': query})
+
+    client = ZhipuAI(api_key=YOUR_API_TOKEN) # 填写您自己的APIKey
+    gen = client.chat.completions.create(
+        model="glm-4",  # 填写需要调用的模型名称
+        messages=messages,
+        stream=True
+    )
+
+    content = ""
+    for response in gen:
+        # print(response)
+        role = response.choices[0].delta.role
+        content += response.choices[0].delta.content
+
+        system, history = messages_to_history(messages + [{'role': role, 'content': content}])
+        yield '', history, system
+
+
+if __name__ == '__main__':
+    print("hi")
+    output = model_chat("who are you?", [], "You are a helpful assistant.")
+    for o in output:
+        print(o)
+    print("done")