update

README.md

@@ -149,3 +149,13 @@ python -m streamlit run ./Qwen_Turbo.py --theme.base dark --server.port 8501
 ```
 python -m streamlit run ./星火大模型.py --theme.base dark --server.port 8501
 ```
+
+#### 4. 百度 - 零一万物的开源模型 Yi-34B-Chat
+
+百度千帆大模型平台的 API key 获取（大部分收费，有个别限时免费）：https://console.bce.baidu.com/qianfan/overview
+
+运行命令：
+
+```
+python -m streamlit run ./Yi-34B-Chat.py --theme.base dark --server.port 8501
+```

模型API - 百度 - 零一万物的开源模型 Yi-34B-Chat/Yi-34B-Chat.py

@@ -0,0 +1,86 @@
+import streamlit as st
+st.set_page_config(
+    page_title="Chat",
+    layout='wide'
+)
+
+import requests
+import json
+
+def get_access_token():
+    """
+    使用 API Key，Secret Key 获取access_token，替换下列示例中的应用API Key、应用Secret Key
+    """
+    url = "https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=[应用API Key]&client_secret=[应用Secret Key]"
+
+    payload = json.dumps("")
+    headers = {
+        'Content-Type': 'application/json',
+        'Accept': 'application/json'
+    }
+    response = requests.request("POST", url, headers=headers, data=payload)
+    return response.json().get("access_token")
+
+
+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_yi_34b = st.empty()
+
+def response_of_yi_34b(prompt):
+    st.session_state.messages.append({'role': "user", 'content': prompt})
+    url = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/yi_34b_chat?access_token=" + get_access_token()
+    payload = json.dumps({
+        "messages": st.session_state.messages,
+        "top_p": top_p,
+        "temperature": temperature, 
+        "stream": True
+    })
+    headers = {'Content-Type': 'application/json'}
+    response = requests.request("POST", url, headers=headers, data=payload, stream=True)
+    full_content = ''
+    for line in response.iter_lines():
+        try:
+            dict_data = json.loads(line.decode("UTF-8")[5:])
+            full_content += dict_data['result']
+            message_placeholder_yi_34b.markdown(full_content)
+        except:
+            pass
+        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_yi_34b(prompt)
+    stop.empty()
+button_clear = st.button("清空", on_click=clear_all, key='clear')