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