使用 Gradio 和 Hugging Face 在 Lines 下使用 Python 代码构建文本提取器应用程序

# use an official python runtime as a parent imagefrom python:3.12env pip_root_user_action=ignore# set the working directory in the containerworkdir $home/app# install system dependenciesrun apt-get update && apt-get install -yrun apt-get install -y tesseract-ocrrun apt-get install -y libtesseract-devrun apt-get install -y libgl1-mesa-glxrun apt-get install -y libglib2.0-0run pip install --upgrade pip# copy requirements and install dependenciescopy requirements.txt requirements.txtrun pip install --no-cache-dir -r requirements.txt# copy the app codecopy app.py ./# expose the port for gradioexpose 7860# run the applicationcmd ["python", "app.py"]

import gradio as grimport pytesseractfrom pil import imageimport osdef extract_text(image_path):    if not image_path:        return "no image uploaded. please upload an image."    if not os.path.exists(image_path):        return f"error: file not found at {image_path}"    try:        img = image.open(image_path)        text = pytesseract.image_to_string(img)        return text if text.strip() else "no text detected in the image."    except exception as e:        return f"an error occurred: {str(e)}"iface = gr.interface(    fn=extract_text,    inputs=gr.image(type="filepath", label="upload an image"),    outputs=gr.textbox(label="extracted text"),    title="image text extractor",    description="upload an image and extract text from it using ocr.")iface.launch(server_name="0.0.0.0", server_port=7860)

gradiopytesseractPillow