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zhipu_ai_app.py
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zhipu_ai_app.py
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import streamlit as st
from langchain_core.output_parsers import StrOutputParser
from zhipuai_llm import ZhipuAILLM
def generate_response(input_text, api_key):
llm = ZhipuAILLM(model="glm-4-0520", temperature=0.1, api_key=api_key)
output = llm.invoke(input_text)
output_parser = StrOutputParser()
output = output_parser.invoke(output)
return output
def main():
st.title('科研GPT')
zhipu_api_key = st.sidebar.text_input('ZhiPu API Key', type='password')
if len(zhipu_api_key) == 0:
st.warning('Please enter your ZhiPu API key!', icon='⚠')
# 用于跟踪对话历史
if 'messages' not in st.session_state:
st.session_state.messages = []
messages = st.container(height=500)
if prompt := st.chat_input("Say something"):
# 将用户输入添加到对话历史中
st.session_state.messages.append({"role": "user", "text": prompt})
# 调用 respond 函数获取回答
answer = generate_response(prompt, zhipu_api_key)
# 检查回答是否为 None
if answer is not None:
# 将LLM的回答添加到对话历史中
st.session_state.messages.append({
"role": "assistant",
"text": answer
})
# 显示整个对话历史
for message in st.session_state.messages:
if message["role"] == "user":
messages.chat_message("user").write(message["text"])
elif message["role"] == "assistant":
messages.chat_message("assistant").write(message["text"])
if __name__ == "__main__":
main()