mirror of
https://github.com/primedigitaltech/FileChat.git
synced 2026-01-19 13:03:19 +08:00
66 lines
2.6 KiB
Python
66 lines
2.6 KiB
Python
import os
|
||
import json
|
||
import streamlit as st
|
||
from zhipuai import ZhipuAI
|
||
|
||
|
||
def main():
|
||
st.set_page_config(page_title="文件对话demo", page_icon="📖", layout="wide") # 页面设置
|
||
st.header("📖文件对话demo") # 标题
|
||
|
||
with st.sidebar: # 侧边栏
|
||
st.markdown("调用智谱AI文件对话接口进行问答")
|
||
api_key_input = st.text_input(
|
||
"智谱API Key",
|
||
type="password",
|
||
value=os.environ.get("API_KEY", None)
|
||
or st.session_state.get("API_KEY", ""),
|
||
key="API_KEY",
|
||
)
|
||
|
||
api_key = st.session_state.get("API_KEY")
|
||
if not api_key:
|
||
st.warning(
|
||
"请在侧边栏输入API_KEY。可从"
|
||
" https://bigmodel.cn/usercenter/apikeys 获取"
|
||
)
|
||
client = ZhipuAI(api_key=api_key)
|
||
uploaded_file = st.file_uploader(
|
||
"上传文件",
|
||
type=["pdf", "docx", "txt"],
|
||
help="文件大小不超过50M,图片大小不超过5M",
|
||
on_change=lambda: st.session_state.pop("messages", None),
|
||
)
|
||
|
||
if not uploaded_file:
|
||
st.stop()
|
||
else:
|
||
if "messages" not in st.session_state:
|
||
file_object = client.files.create(file=uploaded_file, purpose="file-extract")
|
||
file_content = json.loads(client.files.content(file_id=file_object.id).content)["content"]
|
||
message_content = f"请对\n{file_content}\n的内容进行分析,并撰写一份论文摘要。"
|
||
response = client.chat.completions.create(
|
||
model="glm-4-long",
|
||
messages=[
|
||
{"role": "user", "content": message_content}
|
||
],
|
||
)
|
||
msg = response.choices[0].message.content
|
||
st.session_state["messages"] = [{"role": "assistant", "content": msg}] # 每次提问时不带上全文信息
|
||
# st.session_state["messages"] = [{"role": "user", "content": message_content}, {"role": "assistant", "content": msg}] # 每次提问时带上全文信息
|
||
|
||
for msg in st.session_state.get("messages", []):
|
||
st.chat_message(msg["role"]).write(msg["content"])
|
||
|
||
if prompt := st.chat_input():
|
||
st.session_state.messages.append({"role": "user", "content": prompt})
|
||
st.chat_message("user").write(prompt)
|
||
response = client.chat.completions.create(model="glm-4-long", messages=st.session_state.messages)
|
||
msg = response.choices[0].message.content
|
||
st.session_state.messages.append({"role": "assistant", "content": msg})
|
||
st.chat_message("assistant").write(msg)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|