app/main.py

import os
import base64
import requests
import markdown
import pdfkit
import gradio as gr
import re
import random
from datetime import datetime
from jinja2 import Template
import openai

# —— 环境变量读取 —— #
BAIDU_API_KEY    = os.getenv("BAIDU_API_KEY", "")
BAIDU_SECRET_KEY = os.getenv("BAIDU_SECRET_KEY", "")
OPENAI_API_KEY   = os.getenv("OPENAI_API_KEY", "")
openai.api_key   = OPENAI_API_KEY

# —— Baidu OCR —— #
def get_access_token(api_key, secret_key):
    resp = requests.post(
        "https://aip.baidubce.com/oauth/2.0/token",
        params={
            "grant_type":"client_credentials",
            "client_id": api_key,
            "client_secret": secret_key
        }
    )
    return resp.json().get("access_token")

def ocr_image(image_bytes, token):
    img_b64 = base64.b64encode(image_bytes).decode()
    resp = requests.post(
        f"https://aip.baidubce.com/rest/2.0/ocr/v1/handwriting?access_token={token}",
        headers={"Content-Type":"application/x-www-form-urlencoded"},
        data={"image": img_b64, "language_type":"ENG"}
    )
    return resp.json().get("words_result", [])

# —— 文本高亮 —— #
def highlight_brackets(text):
    # 中括号绿色；小括号红色
    text = re.sub(r'\[([^\[\]]+)\]', r'<span class="highlight-bracket-green">\1</span>', text)
    text = re.sub(r'\(([^\(\)]+)\)', r'<span class="highlight-bracket">\1</span>', text)
    return text.replace("\n", "<br>")

# —— 主处理函数 —— #
def process(image):
    # 1. OCR
    token = get_access_token(BAIDU_API_KEY, BAIDU_SECRET_KEY)
    words = ocr_image(image.read(), token)
    essay_text = "\n".join([w["words"] for w in words])

    # 2. 格式化原文
    fmt_prompt = (
        "请帮我整理下面的英语作文文本格式，只整理英文正文部分，"
        "保证原汁原味（明显错误空格换行、乱码、非常用字符改正），"
        "拼写错误保留：\n\n" + essay_text
    )
    fm = openai.ChatCompletion.create(
        model="gpt-4o-mini",
        messages=[{"role":"user","content":fmt_prompt}]
    )
    revised = fm.choices[0].message.content

    # 3. 批改
    corr_prompt = (
        "请帮我把下面的英语作文的语法错误改正，输出改正后的文章，"
        "原文错误用()括起来，修改部分用[]括起来：\n\n" + revised
    )
    cm = openai.ChatCompletion.create(
        model="gpt-4o-mini",
        messages=[{"role":"user","content":corr_prompt}]
    )
    corrected = cm.choices[0].message.content

    # 4. 批改意见
    review_prompt = (
        "下面是一份已经批改过的英语作文，请根据批注给出逐条批改意见：\n\n"
        + corrected
    )
    rm = openai.ChatCompletion.create(
        model="gpt-4o-mini",
        messages=[{"role":"user","content":review_prompt}]
    )
    review = rm.choices[0].message.content

    # 5. 评分
    rate_prompt = (
        "请按照 IELTS/CEFR 写作评价体系，从语言通顺度、连贯度、词汇与语法三维度打分并给出原因：\n\n"
        + revised
    )
    rr = openai.ChatCompletion.create(
        model="gpt-4o-mini",
        messages=[{"role":"user","content":rate_prompt}]
    )
    rating = rr.choices[0].message.content

    # 6. 优秀范文
    rewrite_prompt = (
        "请使用优秀表达重写下面这篇作文，加粗可供学习的部分：\n\n" + revised
    )
    wm = openai.ChatCompletion.create(
        model="gpt-4o-mini",
        messages=[{"role":"user","content":rewrite_prompt}]
    )
    perfect = wm.choices[0].message.content

    # 7. 渲染 HTML
    code = f"{random.randint(0,9999):04}-{datetime.now().strftime('%Y%m%d%H%M%S')}"
    with open("app/templates/base.html", encoding="utf-8") as f:
        tpl = Template(f.read())
    html_content = (
        "<h2>原文格式化</h2>"
        + markdown.markdown(revised)
        + "<h2>批改结果</h2>"
        + highlight_brackets(corrected)
        + "<h2>批改意见</h2>"
        + markdown.markdown(review)
        + "<h2>评分</h2>"
        + markdown.markdown(rating)
        + "<h2>优秀范文</h2>"
        + markdown.markdown(perfect)
    )
    full_html = tpl.render(code=code, content=html_content)

    # 写文件
    html_path = f"/app/output/{code}.html"
    pdf_path  = f"/app/output/{code}.pdf"
    os.makedirs("/app/output", exist_ok=True)
    with open(html_path, "w", encoding="utf-8") as f:
        f.write(full_html)
    pdfkit.from_string(full_html, pdf_path, options={"enable-local-file-access":""})

    return full_html, html_path, pdf_path

# —— Gradio 接口 —— #
with gr.Blocks(title="英语作文批改") as demo:
    gr.Markdown("## 上传英语作文照片，等待批改完成后下载 HTML 或 PDF")
    image_in = gr.File(file_count="single", label="上传照片")
    output_html = gr.HTML()
    btn = gr.Button("开始批改")
    file_html = gr.File(label="下载 HTML")
    file_pdf  = gr.File(label="下载 PDF")
    btn.click(fn=process, inputs=image_in, outputs=[output_html, file_html, file_pdf])

if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860)