app.py

import streamlit as st
import google.generativeai as genai

# 設定 Gemini API
genai.configure(api_key='AIzaSyAs-lbHwPZVWMGmjKJ654KZ_9M-reyna08')
model = genai.GenerativeModel('gemini-pro')

st.title("AI 對話應用")

# 初始化對話歷史
if 'messages' not in st.session_state:
    st.session_state.messages = []

# 顯示對話歷史
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])

# 用戶輸入
if prompt := st.chat_input("說點什麼..."):
    # 添加用戶訊息到對話歷史
    st.session_state.messages.append({"role": "user", "content": prompt})
    with st.chat_message("user"):
        st.markdown(prompt)

    # 使用 Gemini API 生成回應
    with st.chat_message("assistant"):
        message_placeholder = st.empty()
        full_response = ""
        for response in model.generate_content(prompt, stream=True):
            full_response += response.text
            message_placeholder.markdown(full_response + "▌")
        message_placeholder.markdown(full_response)
    
    # 添加 AI 回應到對話歷史
    st.session_state.messages.append({"role": "assistant", "content": full_response})