Update app.py

app.py

@@ -9,83 +9,21 @@ from pathlib import Path
 import re
 import uuid
 import pymupdf
-import telebot
-from threading import Thread
-import requests
 from io import BytesIO
+from fastapi import FastAPI, File, UploadFile
+from fastapi.responses import JSONResponse
+import uvicorn
 
-# Add your Telegram bot token as an environment variable in Hugging Face space
-BOT_TOKEN = os.getenv('BOT_TOKEN')
-bot = telebot.TeleBot(BOT_TOKEN)
+# Initialize FastAPI app
+app = FastAPI()
 
-def download_file_from_telegram(file_id):
-    file_info = bot.get_file(file_id)
-    file_path = file_info.file_path
-    file_url = f'https://api.telegram.org/file/bot{BOT_TOKEN}/{file_path}'
-    response = requests.get(file_url)
-    return BytesIO(response.content)
-
-@bot.message_handler(content_types=['document'])
-def handle_docs(message):
-    try:
-        # Get file from telegram
-        file_id = message.document.file_id
-        file_name = message.document.file_name
-        
-        if not file_name.lower().endswith(('.pdf', '.png', '.jpg', '.jpeg')):
-            bot.reply_to(message, "Please send only PDF or image files.")
-            return
-            
-        # Download file
-        file_data = download_file_from_telegram(file_id)
-        
-        # Save temporarily
-        temp_path = f"/tmp/{file_name}"
-        with open(temp_path, 'wb') as f:
-            f.write(file_data.getvalue())
-            
-        # Process file using your existing function
-        md_content, txt_content, archive_zip_path, new_pdf_path = to_markdown(
-            temp_path, 
-            end_pages=10,  # default value
-            is_ocr=False,  # default value
-            layout_mode="doclayout_yolo",  # default value
-            formula_enable=True,  # default value
-            table_enable=True,  # default value
-            language='auto'  # default value
-        )
-        
-        # Send back results
-        with open(archive_zip_path, 'rb') as zip_file:
-            bot.send_document(message.chat.id, zip_file)
-        
-        # Send markdown content in chunks if it's too long
-        max_length = 4096
-        for i in range(0, len(md_content), max_length):
-            chunk = md_content[i:i + max_length]
-            bot.send_message(message.chat.id, chunk)
-            
-        # Cleanup
-        os.remove(temp_path)
-        
-    except Exception as e:
-        bot.reply_to(message, f"Error processing document: {str(e)}")
-
-@bot.message_handler(commands=['start', 'help'])
-def send_welcome(message):
-    bot.reply_to(message, "Hello! Send me a PDF or image file and I'll process it for you.")
-
-def run_bot():
-    bot.infinity_polling()
-
-# os.system('pip install -U magic-pdf==0.10.5')
+# Setup and installation commands
 os.system('pip uninstall -y magic-pdf')
 os.system('pip install git+https://github.com/opendatalab/MinerU.git@dev')
-# os.system('pip install git+https://github.com/myhloli/Magic-PDF.git@dev')
-
 os.system('wget https://github.com/opendatalab/MinerU/raw/dev/scripts/download_models_hf.py -O download_models_hf.py')
 os.system('python download_models_hf.py')
 
+# Configure magic-pdf settings
 with open('/home/user/magic-pdf.json', 'r') as file:
     data = json.load(file)
 
@@ -98,227 +36,70 @@ with open('/home/user/magic-pdf.json', 'w') as file:
     json.dump(data, file, indent=4)
 
 os.system('cp -r paddleocr /home/user/.paddleocr')
-from gradio_pdf import PDF
-
-import gradio as gr
-from loguru import logger
 
+# Import required modules
 from magic_pdf.data.data_reader_writer import FileBasedDataReader
 from magic_pdf.libs.hash_utils import compute_sha256
 from magic_pdf.tools.common import do_parse, prepare_env
-
+from loguru import logger
 
 def read_fn(path):
     disk_rw = FileBasedDataReader(os.path.dirname(path))
     return disk_rw.read(os.path.basename(path))
 
-
-def parse_pdf(doc_path, output_dir, end_page_id, is_ocr, layout_mode, formula_enable, table_enable, language):
-    os.makedirs(output_dir, exist_ok=True)
-
+# Your existing functions here (parse_pdf, compress_directory_to_zip, image_to_base64, etc.)
+# ... (keep all the utility functions from your original code)
+
+@app.post("/process_document")
+async def process_document(
+    file: UploadFile = File(...),
+    end_pages: int = 10,
+    is_ocr: bool = False,
+    layout_mode: str = "doclayout_yolo",
+    formula_enable: bool = True,
+    table_enable: bool = True,
+    language: str = "auto"
+):
     try:
-        file_name = f"{str(Path(doc_path).stem)}_{time.time()}"
-        pdf_data = read_fn(doc_path)
-        if is_ocr:
-            parse_method = "ocr"
-        else:
-            parse_method = "auto"
-        local_image_dir, local_md_dir = prepare_env(output_dir, file_name, parse_method)
-        do_parse(
-            output_dir,
-            file_name,
-            pdf_data,
-            [],
-            parse_method,
-            False,
-            end_page_id=end_page_id,
-            layout_model=layout_mode,
+        # Save uploaded file temporarily
+        temp_path = f"/tmp/{file.filename}"
+        with open(temp_path, "wb") as buffer:
+            content = await file.read()
+            buffer.write(content)
+        
+        # Process file
+        md_content, txt_content, archive_zip_path, new_pdf_path = to_markdown(
+            temp_path,
+            end_pages=end_pages,
+            is_ocr=is_ocr,
+            layout_mode=layout_mode,
             formula_enable=formula_enable,
             table_enable=table_enable,
-            lang=language,
-            f_dump_orig_pdf=False,
+            language=language
         )
-        return local_md_dir, file_name
-    except Exception as e:
-        logger.exception(e)
-
-
-def compress_directory_to_zip(directory_path, output_zip_path):
-    """
-    压缩指定目录到一个 ZIP 文件。
-
-    :param directory_path: 要压缩的目录路径
-    :param output_zip_path: 输出的 ZIP 文件路径
-    """
-    try:
-        with zipfile.ZipFile(output_zip_path, 'w', zipfile.ZIP_DEFLATED) as zipf:
-
-            # 遍历目录中的所有文件和子目录
-            for root, dirs, files in os.walk(directory_path):
-                for file in files:
-                    # 构建完整的文件路径
-                    file_path = os.path.join(root, file)
-                    # 计算相对路径
-                    arcname = os.path.relpath(file_path, directory_path)
-                    # 添加文件到 ZIP 文件
-                    zipf.write(file_path, arcname)
-        return 0
-    except Exception as e:
-        logger.exception(e)
-        return -1
-
-
-def image_to_base64(image_path):
-    with open(image_path, "rb") as image_file:
-        return base64.b64encode(image_file.read()).decode('utf-8')
-
-
-def replace_image_with_base64(markdown_text, image_dir_path):
-    # 匹配Markdown中的图片标签
-    pattern = r'\!\[(?:[^\]]*)\]\(([^)]+)\)'
-
-    # 替换图片链接
-    def replace(match):
-        relative_path = match.group(1)
-        full_path = os.path.join(image_dir_path, relative_path)
-        base64_image = image_to_base64(full_path)
-        return f"![{relative_path}](data:image/jpeg;base64,{base64_image})"
-
-    # 应用替换
-    return re.sub(pattern, replace, markdown_text)
-
-
-def to_markdown(file_path, end_pages, is_ocr, layout_mode, formula_enable, table_enable, language):
-    file_path = to_pdf(file_path)
-    if end_pages > 20:
-        end_pages = 20
-    # 获取识别的md文件以及压缩包文件路径
-    local_md_dir, file_name = parse_pdf(file_path, './output', end_pages - 1, is_ocr,
-                                        layout_mode, formula_enable, table_enable, language)
-    archive_zip_path = os.path.join("./output", compute_sha256(local_md_dir) + ".zip")
-    zip_archive_success = compress_directory_to_zip(local_md_dir, archive_zip_path)
-    if zip_archive_success == 0:
-        logger.info("压缩成功")
-    else:
-        logger.error("压缩失败")
-    md_path = os.path.join(local_md_dir, file_name + ".md")
-    with open(md_path, 'r', encoding='utf-8') as f:
-        txt_content = f.read()
-    md_content = replace_image_with_base64(txt_content, local_md_dir)
-    # 返回转换后的PDF路径
-    new_pdf_path = os.path.join(local_md_dir, file_name + "_layout.pdf")
-
-    return md_content, txt_content, archive_zip_path, new_pdf_path
-
-
-latex_delimiters = [{"left": "$$", "right": "$$", "display": True},
-                    {"left": '$', "right": '$', "display": False}]
-
-
-def init_model():
-    from magic_pdf.model.doc_analyze_by_custom_model import ModelSingleton
-    try:
-        model_manager = ModelSingleton()
-        txt_model = model_manager.get_model(False, False)
-        logger.info(f"txt_model init final")
-        ocr_model = model_manager.get_model(True, False)
-        logger.info(f"ocr_model init final")
-        return 0
+        
+        # Read the zip file as base64
+        with open(archive_zip_path, "rb") as zip_file:
+            zip_content = base64.b64encode(zip_file.read()).decode()
+        
+        # Clean up
+        os.remove(temp_path)
+        
+        return JSONResponse({
+            "markdown_content": md_content,
+            "text_content": txt_content,
+            "zip_file_base64": zip_content
+        })
+        
     except Exception as e:
-        logger.exception(e)
-        return -1
-
+        return JSONResponse(
+            status_code=500,
+            content={"error": str(e)}
+        )
 
+# Initialize models
 model_init = init_model()
 logger.info(f"model_init: {model_init}")
 
-
-with open("header.html", "r") as file:
-    header = file.read()
-
-
-latin_lang = [
-        'af', 'az', 'bs', 'cs', 'cy', 'da', 'de', 'es', 'et', 'fr', 'ga', 'hr',
-        'hu', 'id', 'is', 'it', 'ku', 'la', 'lt', 'lv', 'mi', 'ms', 'mt', 'nl',
-        'no', 'oc', 'pi', 'pl', 'pt', 'ro', 'rs_latin', 'sk', 'sl', 'sq', 'sv',
-        'sw', 'tl', 'tr', 'uz', 'vi', 'french', 'german'
-]
-arabic_lang = ['ar', 'fa', 'ug', 'ur']
-cyrillic_lang = [
-        'ru', 'rs_cyrillic', 'be', 'bg', 'uk', 'mn', 'abq', 'ady', 'kbd', 'ava',
-        'dar', 'inh', 'che', 'lbe', 'lez', 'tab'
-]
-devanagari_lang = [
-        'hi', 'mr', 'ne', 'bh', 'mai', 'ang', 'bho', 'mah', 'sck', 'new', 'gom',
-        'sa', 'bgc'
-]
-other_lang = ['ch', 'en', 'korean', 'japan', 'chinese_cht', 'ta', 'te', 'ka']
-
-all_lang = ['', 'auto']
-all_lang.extend([*other_lang, *latin_lang, *arabic_lang, *cyrillic_lang, *devanagari_lang])
-
-
-def to_pdf(file_path):
-    with pymupdf.open(file_path) as f:
-        if f.is_pdf:
-            return file_path
-        else:
-            pdf_bytes = f.convert_to_pdf()
-            # 将pdfbytes 写入到uuid.pdf中
-            # 生成唯一的文件名
-            unique_filename = f"{uuid.uuid4()}.pdf"
-
-            # 构建完整的文件路径
-            tmp_file_path = os.path.join(os.path.dirname(file_path), unique_filename)
-
-            # 将字节数据写入文件
-            with open(tmp_file_path, 'wb') as tmp_pdf_file:
-                tmp_pdf_file.write(pdf_bytes)
-
-            return tmp_file_path
-
-
 if __name__ == "__main__":
-       # Start bot in a separate thread
-    bot_thread = Thread(target=run_bot)
-    bot_thread.start()
-    
-    with gr.Blocks() as demo:
-        gr.HTML(header)
-        with gr.Row():
-            with gr.Column(variant='panel', scale=5):
-                file = gr.File(label="Please upload a PDF or image", file_types=[".pdf", ".png", ".jpeg", ".jpg"])
-                max_pages = gr.Slider(1, 20, 10, step=1, label='Max convert pages')
-                with gr.Row():
-                    layout_mode = gr.Dropdown(["layoutlmv3", "doclayout_yolo"], label="Layout model", value="doclayout_yolo")
-                    language = gr.Dropdown(all_lang, label="Language", value='auto')
-                with gr.Row():
-                    formula_enable = gr.Checkbox(label="Enable formula recognition", value=True)
-                    is_ocr = gr.Checkbox(label="Force enable OCR", value=False)
-                    table_enable = gr.Checkbox(label="Enable table recognition(test)", value=True)
-                with gr.Row():
-                    change_bu = gr.Button("Convert")
-                    clear_bu = gr.ClearButton(value="Clear")
-                pdf_show = PDF(label='PDF preview', interactive=False, visible=True, height=800)
-                with gr.Accordion("Examples:"):
-                    example_root = os.path.join(os.path.dirname(__file__), "examples")
-                    gr.Examples(
-                        examples=[os.path.join(example_root, _) for _ in os.listdir(example_root) if
-                                  _.endswith("pdf")],
-                        inputs=file
-                    )
-
-            with gr.Column(variant='panel', scale=5):
-                output_file = gr.File(label="convert result", interactive=False)
-                with gr.Tabs():
-                    with gr.Tab("Markdown rendering"):
-                        md = gr.Markdown(label="Markdown rendering", height=1100, show_copy_button=True,
-                                         latex_delimiters=latex_delimiters, line_breaks=True)
-                    with gr.Tab("Markdown text"):
-                        md_text = gr.TextArea(lines=45, show_copy_button=True)
-        file.change(fn=to_pdf, inputs=file, outputs=pdf_show)
-        change_bu.click(fn=to_markdown, inputs=[file, max_pages, is_ocr, layout_mode, formula_enable, table_enable, language],
-                        outputs=[md, md_text, output_file, pdf_show], api_name=False)
-        clear_bu.add([file, md, pdf_show, md_text, output_file, is_ocr])
-
-    demo.launch(ssr_mode=False)
+    uvicorn.run(app, host="0.0.0.0", port=7860)