Create app.py

app.py

@@ -0,0 +1,37 @@
+import os
+import gradio as gr
+import shutil
+import main
+
+
+def predict_from_pdf(pdf_file):
+    upload_dir = "./catalogue/"
+    os.makedirs(upload_dir, exist_ok=True)
+    
+    try:
+        dest_path = os.path.join(upload_dir, pdf_file.name)
+        with open(dest_path, "wb") as f:
+            f.write(pdf_file.read())
+        
+        df, response = main_oss.process_pdf_catalog(dest_path)
+        return df, response
+    except Exception as e:
+        return None, f"Error: {str(e)}"
+
+pdf_examples = [
+    ["examples/flexpocket.pdf"],
+    ["examples/ASICS_Catalog.pdf"],
+]
+
+demo = gr.Interface(
+    fn=predict_from_pdf,
+    inputs=gr.File(label="Upload PDF Catalog"),
+    outputs=["json", "text"],
+    examples=pdf_examples,
+    title="Open Source PDF Catalog Parser",
+    description="Efficient PDF catalog processing using MinerU and OpenLLM",
+    article="Uses MinerU for layout analysis and DeepSeek-1.3B for structured extraction"
+)
+
+if __name__ == "__main__":
+    demo.queue().launch(server_name="0.0.0.0", server_port=7860)