☀ feat: 修改支持多卡部署

cli_demo_gpus.py

@@ -0,0 +1,59 @@
+import os
+import platform
+import signal
+from transformers import AutoTokenizer, AutoModel
+from utils import load_model_on_gpus
+
+tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
+model = load_model_on_gpus("THUDM/chatglm-6b", num_gpus=2)
+# model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
+model = model.eval()
+
+os_name = platform.system()
+clear_command = 'cls' if os_name == 'Windows' else 'clear'
+stop_stream = False
+
+
+def build_prompt(history):
+    prompt = "欢迎使用 ChatGLM-6B 模型，输入内容即可进行对话，clear 清空对话历史，stop 终止程序"
+    for query, response in history:
+        prompt += f"\n\n用户：{query}"
+        prompt += f"\n\nChatGLM-6B：{response}"
+    return prompt
+
+
+def signal_handler(signal, frame):
+    global stop_stream
+    stop_stream = True
+
+
+def main():
+    history = []
+    global stop_stream
+    print("欢迎使用 ChatGLM-6B 模型，输入内容即可进行对话，clear 清空对话历史，stop 终止程序")
+    while True:
+        query = input("\n用户：")
+        if query.strip() == "stop":
+            break
+        if query.strip() == "clear":
+            history = []
+            os.system(clear_command)
+            print("欢迎使用 ChatGLM-6B 模型，输入内容即可进行对话，clear 清空对话历史，stop 终止程序")
+            continue
+        count = 0
+        for response, history in model.stream_chat(tokenizer, query, history=history):
+            if stop_stream:
+                stop_stream = False
+                break
+            else:
+                count += 1
+                if count % 8 == 0:
+                    os.system(clear_command)
+                    print(build_prompt(history), flush=True)
+                    signal.signal(signal.SIGINT, signal_handler)
+        os.system(clear_command)
+        print(build_prompt(history), flush=True)
+
+
+if __name__ == "__main__":
+    main()

web_demo.py

@@ -1,9 +1,12 @@
-from transformers import AutoModel, AutoTokenizer
 import gradio as gr
 import mdtex2html
+from transformers import AutoModel, AutoTokenizer
+from utils import load_model_on_gpus
+
 
 tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
-model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
+# model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
+model = load_model_on_gpus("THUDM/chatglm-6b", num_gpus=2)
 model = model.eval()
 
 """Override Chatbot.postprocess"""
@@ -60,7 +63,7 @@ def predict(input, chatbot, max_length, top_p, temperature, history):
     chatbot.append((parse_text(input), ""))
     for response, history in model.stream_chat(tokenizer, input, history, max_length=max_length, top_p=top_p,
                                                temperature=temperature):
-        chatbot[-1] = (parse_text(input), parse_text(response))       
+        chatbot[-1] = (parse_text(input), parse_text(response))
 
         yield chatbot, history
 
@@ -74,21 +77,24 @@ def reset_state():
 
 
 with gr.Blocks() as demo:
-    gr.HTML("""<h1 align="center">ChatGLM</h1>""")
+    gr.HTML("""<h1 align="center">CodeLab</h1>""")
 
     chatbot = gr.Chatbot()
     with gr.Row():
         with gr.Column(scale=4):
             with gr.Column(scale=12):
-                user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=10).style(
+                user_input = gr.Textbox(show_label=False, placeholder="输入聊天内容", lines=10).style(
                     container=False)
             with gr.Column(min_width=32, scale=1):
-                submitBtn = gr.Button("Submit", variant="primary")
+                submitBtn = gr.Button("发送", variant="primary")
         with gr.Column(scale=1):
-            emptyBtn = gr.Button("Clear History")
-            max_length = gr.Slider(0, 4096, value=2048, step=1.0, label="Maximum length", interactive=True)
-            top_p = gr.Slider(0, 1, value=0.7, step=0.01, label="Top P", interactive=True)
-            temperature = gr.Slider(0, 1, value=0.95, step=0.01, label="Temperature", interactive=True)
+            emptyBtn = gr.Button("清除历史记录")
+            max_length = gr.Slider(
+                0, 4096, value=2048, step=1.0, label="Maximum length", interactive=True)
+            top_p = gr.Slider(0, 1, value=0.7, step=0.01,
+                              label="Top P", interactive=True)
+            temperature = gr.Slider(
+                0, 1, value=0.95, step=0.01, label="Temperature", interactive=True)
 
     history = gr.State([])
 
@@ -98,4 +104,4 @@ with gr.Blocks() as demo:
 
     emptyBtn.click(reset_state, outputs=[chatbot, history], show_progress=True)
 
-demo.queue().launch(share=False, inbrowser=True)
+demo.queue().launch(share=False, inbrowser=False, server_port=11001)