update

README.md

@@ -119,6 +119,8 @@ internlm-chat-7b 模型文件下载：https://huggingface.co/internlm/internlm-c
 python -m streamlit run ./InternLM.py --theme.base dark --server.port 8501
 ```
 
+#### 4. ……
+
 ### 三、使用大语言模型 API
 
 #### 1. 智谱 - ChatGLM_Turbo
@@ -203,4 +205,22 @@ pip install volcengine-python-sdk
 运行命令：
 ```
 python -m streamlit run ./Doubao_lite_32k.py --theme.base dark --server.port 8501
-```
+```
+
+#### 8. OpenAI - GPT_3.5_Turbo
+
+OpenAI 的 API 接口（需要海外的 IP 地址以及海外银行卡）：https://platform.openai.com
+
+需要安装 OpenAI 软件包：
+
+```
+pip install openai
+```
+
+运行命令：
+
+```
+python -m streamlit run ./GPT_3.5_Turbo.py --theme.base dark --server.port 8501
+```
+
+#### 9. ……

模型API - OpenAI - GPT_3.5_Turbo/GPT_3.5_Turbo.py

@@ -0,0 +1,75 @@
+"""
+This code is supported by the website: https://www.guanjihuan.com
+The newest version of this code is on the web page: https://www.guanjihuan.com/archives/38502
+"""
+
+import streamlit as st
+st.set_page_config(
+    page_title="Chat",
+    layout='wide'
+)
+
+import openai
+API_KEY = ""
+
+with st.sidebar:
+    with st.expander('参数', expanded=True):
+        top_p = st.slider('top_p', 0.01, 1.0, step=0.01, value=0.8, key='top_p_session')
+        temperature = st.slider('temperature', 0.51, 1.0, step=0.01, value=0.85, key='temperature_session') 
+        def reset_parameter():
+            st.session_state['top_p_session'] = 0.8
+            st.session_state['temperature_session'] = 0.85
+        reset_parameter_button = st.button('重置', on_click=reset_parameter)
+
+prompt = st.chat_input("在这里输入您的命令")
+
+def clear_all():
+    st.session_state.messages = []
+    st.session_state.ai_response = []
+
+if 'messages' not in st.session_state:
+    st.session_state.messages = []
+if 'ai_response' not in st.session_state:
+    st.session_state.ai_response = []
+
+for ai_response in st.session_state.ai_response:
+    with st.chat_message(ai_response["role"], avatar=ai_response.get("avatar")):
+        st.markdown(ai_response["content"])
+
+prompt_placeholder = st.chat_message("user", avatar='user')
+with st.chat_message("robot", avatar="assistant"):
+    message_placeholder = st.empty()
+
+def response_of_gpt(prompt):
+    st.session_state.messages.append({'role': 'user', 'content': prompt})
+    client = openai.OpenAI(
+        api_key=API_KEY,
+    )
+    completion = client.chat.completions.create(
+        model="gpt-3.5-turbo-0125",
+        messages=st.session_state.messages,
+        stream=True,
+        temperature=temperature, 
+        top_p=top_p,
+    )
+    full_content = ''
+    for chunk in completion:
+        response = chunk.choices[0].delta.content or ""
+        full_content += response
+        message_placeholder.markdown(full_content)
+        if stop_button:
+            break
+    st.session_state.messages.append({'role': 'assistant',
+                        'content': full_content})
+    st.session_state.ai_response.append({"role": "robot", "content": full_content, "avatar": "assistant"})
+    return full_content
+    
+if prompt:
+    prompt_placeholder.markdown(prompt)
+    st.session_state.ai_response.append({"role": "user", "content": prompt, "avatar": 'user'})
+    stop = st.empty()
+    stop_button = stop.button('停止', key='break_response')
+    response_of_gpt(prompt)
+    stop.empty()
+button_clear = st.button("清空", on_click=clear_all, key='clear')
+