Create app

app

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+import gradio as gr
+import openai
+
+# 确保你的 OpenAI API 密钥
+
+def respond(message, history, 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})
+    client = OpenAI(  
+      api_key="sk-Eqk19o6qqgk3i09tUkriFcESxqsQNsvdF18AaHaoxeHIv0oc",  
+      base_url="https://api.moonshot.cn/v1", 
+) 
+    response = client.ChatCompletion.create(
+        model="moonshot-v1-128k",
+        messages=messages,
+        max_tokens=max_tokens,
+        temperature=temperature,
+        top_p=top_p,
+        stream=True
+    )
+
+    final_response = ""
+    for message in response['choices'][0]['message']:
+        final_response += message['content']
+
+    return final_response
+
+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)",
+        ),
+    ],
+)
+
+if __name__ == "__main__":
+    demo.launch()