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app.py

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+import gradio as gr
+from apps import pdf_cropper, text_tools
+
+# --- 主程序入口 ---
+# 这里是“应用集市”的容器。
+# 每次添加新工具，只需要 import 进来，并在 tab_list 中注册即可。
+
+def create_main_interface():
+    with gr.Blocks(title="我的科研工具箱", theme=gr.themes.Soft()) as main_app:
+        gr.Markdown("# 🛠️ 科研效率工具箱")
+        
+        # 使用 Tab 布局来切换不同的工具
+        with gr.Tabs():
+            
+            # --- 工具 1: PDF 智能裁边 ---
+            with gr.TabItem("📄 PDF 裁边"):
+                pdf_cropper.create_ui()
+            
+            # --- 工具 2: 文本分析 (示例) ---
+            with gr.TabItem("📝 文本统计"):
+                text_tools.create_ui()
+                
+            # --- 可以在这里继续添加更多 Tab ---
+            
+    return main_app
+
+if __name__ == "__main__":
+    app = create_main_interface()
+    app.launch(inbrowser=True)

apps/pdf_cropper.py

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+import gradio as gr
+from PIL import Image, ImageChops
+import img2pdf
+import io
+
+# --- 核心逻辑 (复用之前的代码) ---
+def trim_whitespace(im, fuzz_level=20):
+    bg = Image.new(im.mode, im.size, (255, 255, 255))
+    diff = ImageChops.difference(im, bg)
+    diff = ImageChops.add(diff, diff, 1, -fuzz_level)
+    bbox = diff.getbbox()
+    if bbox:
+        return im.crop(bbox)
+    return im
+
+def process_pipeline(files, quality, fuzz_level, progress=gr.Progress()):
+    if not files: return None
+    pdf_components = []
+    for filepath in progress.tqdm(files, desc="处理中"):
+        try:
+            with Image.open(filepath) as img:
+                if img.mode in ('RGBA', 'LA') or (img.mode == 'P' and 'transparency' in img.info):
+                    bg = Image.new('RGB', img.size, (255, 255, 255))
+                    if img.mode!= 'RGBA': img = img.convert('RGBA')
+                    bg.paste(img, mask=img.split()[3])
+                    img = bg
+                else:
+                    img = img.convert('RGB')
+                
+                trimmed = trim_whitespace(img, fuzz_level)
+                byte_arr = io.BytesIO()
+                trimmed.save(byte_arr, format='JPEG', quality=int(quality))
+                pdf_components.append(byte_arr.getvalue())
+        except Exception: continue
+
+    if not pdf_components: return None
+    output_filename = "output_document.pdf"
+    with open(output_filename, "wb") as f:
+        f.write(img2pdf.convert(pdf_components))
+    return output_filename
+
+# --- 模块化 UI 接口 ---
+def create_ui():
+    """
+    每个工具模块都需要暴露这个函数。
+    注意：不要在这里创建 gr.Blocks()，直接写 Row/Column 即可，
+    因为它们会被嵌入到主程序的 Tab 中。
+    """
+    with gr.Row():
+        with gr.Column():
+            file_input = gr.File(file_count="multiple", file_types=["image"], label="上传图片")
+            quality = gr.Slider(10, 100, 90, label="质量")
+            fuzz = gr.Slider(0, 100, 30, label="容差")
+            btn = gr.Button("开始处理", variant="primary")
+        with gr.Column():
+            output = gr.File(label="下载 PDF")
+            
+    btn.click(process_pipeline, [file_input, quality, fuzz], output)

apps/text_tools.py

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+import gradio as gr
+
+def analyze_text(text):
+    return {
+        "字符数": len(text),
+        "单词数 (空格分隔)": len(text.split()),
+        "行数": len(text.splitlines())
+    }
+
+def create_ui():
+    with gr.Row():
+        inp = gr.Textbox(lines=5, label="输入文本")
+        out = gr.JSON(label="统计结果")
+    
+    btn = gr.Button("分析")
+    btn.click(analyze_text, inp, out)

requirements.txt

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+gradio
+Pillow
+img2pdf
+huggingface_hub