Update app.py

feat: choose cmz1024/minimind-zero as model

app.py

@@ -1,11 +1,8 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
+# 修改为你的模型
+client = InferenceClient("cmz1024/minimind-zero")
 
 def respond(
     message,
@@ -25,40 +22,42 @@ def respond(
 
     messages.append({"role": "user", "content": message})
 
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+    try:
+        response = ""
+        for message in client.chat_completion(
+            messages,
+            max_tokens=max_tokens,
+            stream=True,
+            temperature=temperature,
+            top_p=top_p,
+        ):
+            token = message.choices[0].delta.content
+            response += token
+            yield response
+    except Exception as e:
+        yield f"发生错误: {str(e)}"
+
+# 创建聊天界面
 demo = gr.ChatInterface(
     respond,
+    chatbot=gr.Chatbot(height=400),
+    textbox=gr.Textbox(placeholder="请输入您的问题...", container=False, scale=7),
+    title="MinimindZero 演示",
+    description="这是一个牧之训练的中文语言模型演示，您可以通过对话来体验模型的能力。",
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Textbox(value="你是一个友好的中文助手。", label="系统提示词"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="最大生成长度"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="温度"),
         gr.Slider(
             minimum=0.1,
             maximum=1.0,
             value=0.95,
             step=0.05,
-            label="Top-p (nucleus sampling)",
+            label="Top-p",
         ),
     ],
+    theme="soft",
 )
 
-
 if __name__ == "__main__":
     demo.launch()