update

2024.01.27_chat.guanjihuan.com/模型API - 智谱 - ChatGLM_Turbo/ChatGLM_Turbo.py

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+"""
+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'
+)
+
+try:
+    import zhipuai
+except:
+    import os
+    os.system('pip install zhipuai==1.0.7')
+    import zhipuai
+
+# 说明：当前代码只对 pip install zhipuai==1.0.7 有效，对最新版本不兼容。
+
+# 从官网获取 API_KEY
+zhipuai.api_key = " "
+
+with st.sidebar:
+    with st.expander('参数', expanded=True):
+        top_p = st.slider('top_p', 0.01, 1.0, value=0.7, step=0.01, key='top_p_session')
+        temperature = st.slider('temperature', 0.01, 1.0, value=0.95, step=0.01, key='temperature_session')
+        def reset_parameter():
+            st.session_state['top_p_session'] = 0.7
+            st.session_state['temperature_session'] = 0.95
+        reset_parameter_button = st.button('重置', on_click=reset_parameter)
+
+def chatglm_chat(prompt=[]):
+    response = zhipuai.model_api.sse_invoke(
+        model="glm-3-turbo",
+        prompt=prompt,
+        temperature=temperature,
+        top_p=top_p,
+    )
+    return response
+
+def getlength(text):
+        length = 0
+        for content in text:
+            temp = content["content"]
+            leng = len(temp)
+            length += leng
+        return length
+
+def checklen(text):
+    while (getlength(text) > 8000):
+        del text[0]
+    return text
+
+def getText(role,content, text):
+        jsoncon = {}
+        jsoncon["role"] = role
+        jsoncon["content"] = content
+        text.append(jsoncon)
+        return text
+
+answer = ""
+if "text0" not in st.session_state:
+    st.session_state.text0 = []
+if "messages0" not in st.session_state:
+    st.session_state.messages0 = [] 
+def clear_all0():
+    st.session_state.messages0 = []
+    st.session_state.text0 = []
+if st.session_state.messages0 == []:
+    with st.chat_message("user", avatar="user"):
+        input_placeholder = st.empty() 
+    with st.chat_message("robot", avatar="assistant"):
+        message_placeholder = st.empty()
+for message in st.session_state.messages0:
+    with st.chat_message(message["role"], avatar=message.get("avatar")):
+        st.markdown(message["content"])
+prompt_text = st.chat_input("请在这里输入您的命令")
+
+if prompt_text:
+    if st.session_state.messages0 != []:
+        with st.chat_message("user", avatar="user"):
+            input_placeholder = st.empty()
+        with st.chat_message("robot", avatar="assistant"):
+            message_placeholder = st.empty()
+    input_placeholder.markdown(prompt_text)
+    st.session_state.messages0.append({"role": "user", "content": prompt_text, "avatar": "user"})
+    st.session_state.text0 = getText("user", prompt_text, st.session_state.text0)
+    question = checklen(st.session_state.text0)
+    response  = chatglm_chat(question)
+    for event in response.events():
+        answer += event.data
+        message_placeholder.markdown(answer)
+    st.session_state.text0 = getText("assistant", answer, st.session_state.text0)
+    st.session_state.messages0.append({"role": "robot", "content": answer, "avatar": "assistant"})
+    st.rerun()
+button_clear = st.button("清空", on_click=clear_all0, key='clear0')