Update app.py

app.py

@@ -1,63 +1,27 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+from openai import OpenAI
+from dotenv import load_dotenv
+import os
 
-"""
-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")
+load_dotenv()
 
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    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
-"""
-demo = gr.ChatInterface(
-    respond,
-    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.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
+client = OpenAI(
+    api_key = os.getenv("MOONSHOT_API_KEY"),
+    base_url = "https://api.moonshot.cn/v1",
 )
 
-
-if __name__ == "__main__":
-    demo.launch()
+def chatbot(question):
+    completion = client.chat.completions.create(
+        model = "moonshot-v1-8k",
+        messages = [
+            {"role": "system", "content": "你是 Kimi，由 Moonshot AI 提供的人工智能助手，你更擅长中文和英文的对话。你会为用户提供安全，有帮助，准确的回答。同时，你会拒绝一切涉及恐怖主义，种族歧视，黄色暴力等问题的回答。Moonshot AI 为专有名词，不可翻译成其他语言。"},
+            {"role": "user", "content": question}
+        ],
+        temperature = 0.3,
+    )
+    return completion.choices[0].message.content
+
+iface = gr.Interface(fn=chatbot, inputs="text", outputs="text")
+iface.launch(share=True)
+
+file_path = "/d:/liteli/chatGPT/Code/ai-assisdant-book/ch7/kimi_chat/chatbot.py"