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app.py

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+from openai import OpenAI
+import os
+import gradio as gr
+
+# 定义Conversation类
+class Conversation:
+    def __init__(self, prompt, num_of_round):
+        self.client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
+        self.prompt = prompt
+        self.num_of_round = num_of_round
+        self.messages = []
+        self.messages.append({"role": "system", "content": prompt})
+
+    def ask(self, question):
+        try:
+            self.messages.append({"role": "user", "content": question})
+            completions = self.client.chat.completions.create(
+                messages=self.messages,
+                model="gpt-3.5-turbo",
+                n=1,
+                top_p=1,
+                temperature=0.5,
+                stop=None        
+            )
+        except Exception as e:
+            print(e)
+            return str(e)
+
+        reply = completions.choices[0].message.content
+        self.messages.append({"role": "assistant", "content": reply})
+        return reply
+
+# 实例化Conversation对象
+prompt = "你是😺 智慧喵喵，一只博学且深刻的猫。..."
+conv = Conversation(prompt, 3)
+
+# 定义Gradio界面逻辑
+def answer(question, history=[]):
+    history.append(question)
+    reply = conv.ask(question)
+    history.append(reply)
+    responses = [(u, b) for u, b in zip(history[::2], history[1::2])]
+    return responses, history
+
+css = """
+#chatbox {
+    height: 300px;
+}
+.overflow-y-auto {
+    height: 500px;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
+    chatbot = gr.Chatbot(elem_id="chatbot")
+    state = gr.State([])
+
+    with gr.Row():
+        txt = gr.Textbox(show_label=False, placeholder="在此输入文本并按回车键")
+
+    txt.submit(answer, inputs=[txt, state], outputs=[chatbot, state])

requirements.txt

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+openai