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Create app.py
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app.py
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import streamlit as st
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import google.generativeai as genai
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import pdfplumber
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import os
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# 推荐用环境变量管理 API Key
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API_KEY = os.environ.get("GEMINI_API_KEY", "你的_Gemini_API_Key")
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def extract_text_from_pdf(pdf_file):
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try:
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with pdfplumber.open(pdf_file) as pdf:
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text = ""
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for page in pdf.pages:
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page_text = page.extract_text()
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if page_text:
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text += page_text + "\n"
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return text.strip()
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except Exception as e:
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return f"PDF解析失败: {str(e)}"
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def call_gemini(prompt, model="gemini-2.5-flash", api_key=API_KEY):
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genai.configure(api_key=api_key)
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model = genai.GenerativeModel(model)
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response = model.generate_content(prompt)
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return response.text.strip()
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def generate_outline(text, api_key=API_KEY):
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prompt = (
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"请根据以下内容，提炼出结构化的复习大纲，分层级展示，使用有条理的短语或句子：\n"
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f"{text}\n"
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"请用Markdown格式输出，主标题用#，二级用##，三级用###，不要有多余解释。"
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)
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return call_gemini(prompt, api_key=api_key)
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def generate_qa(text, max_questions=5, api_key=API_KEY):
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prompt = (
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f"请根据以下内容，生成{max_questions}道典型考题及标准答案，题型以简答题为主，内容覆盖重点知识点：\n"
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f"{text}\n"
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"请用如下格式输出：\n"
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"【问题】xxx\n【答案】xxx\n"
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)
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return call_gemini(prompt, api_key=api_key)
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def generate_mindmap(text, api_key=API_KEY):
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prompt = (
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"请根据以下内容，生成结构化的思维导图，使用Markdown格式，主标题用#，二级用##，三级用###，"
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"内容要分层、条理清晰，突出知识点之间的关系。只输出Markdown，不要有多余解释。\n"
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f"{text}"
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)
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return call_gemini(prompt, api_key=api_key)
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def create_markmap_html(markdown_content):
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html_content = f"""
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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="UTF-8">
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<script src="https://cdn.jsdelivr.net/npm/d3@6"></script>
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<script src="https://cdn.jsdelivr.net/npm/markmap-lib@0.15.3/dist/browser/standalone.min.js"></script>
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</head>
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<body>
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<svg id="mindmap" style="width:100%;height:600px"></svg>
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<script>
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window.markmap.Markmap.create(document.getElementById('mindmap'), null, `{markdown_content}`);
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</script>
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</body>
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</html>
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"""
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return html_content
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st.set_page_config(page_title="PDF自动复习助手", layout="wide")
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st.title("📚 PDF自动复习助手：大纲 + 考题 + 思维导图 (Gemini)")
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uploaded_file = st.file_uploader("上传PDF文件", type=["pdf"])
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max_questions = st.slider("考题数量", 3, 20, value=5)
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api_key = st.text_input("Gemini API Key（建议用环境变量，不建议明文填写）", value=API_KEY, type="password")
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if uploaded_file is not None:
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with st.spinner("正在解析PDF并生成内容..."):
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text = extract_text_from_pdf(uploaded_file)
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if not text or text.startswith("PDF解析失败"):
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st.error(text)
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else:
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outline_md = generate_outline(text, api_key)
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qa_md = generate_qa(text, max_questions, api_key)
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mindmap_md = generate_mindmap(text, api_key)
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st.subheader("📝 复习大纲")
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st.text_area("大纲 Markdown", outline_md, height=200)
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st.subheader("📚 考题与答案")
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st.text_area("考题 Markdown", qa_md, height=200)
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st.subheader("🌳 思维导图 Markdown")
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st.text_area("思维导图 Markdown", mindmap_md, height=200)
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st.download_button("⬇️ 下载思维导图 Markdown", mindmap_md, file_name="mindmap.md", mime="text/markdown")
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st.subheader("🌳 交互式思维导图")
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st.components.v1.html(create_markmap_html(mindmap_md), height=700, scrolling=True)
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