use develop branch

app.py

@@ -24,7 +24,12 @@ from paddlenlp import Taskflow
 from paddlenlp.utils.doc_parser import DocParser
 
 doc_parser = DocParser()
-task_instance = Taskflow("information_extraction", model="uie-x-base", schema="")
+task_instance = Taskflow(
+    "information_extraction",
+    model="uie-x-base",
+    task_path="PaddlePaddle/uie-x-base",
+    from_hf_hub=True,
+    schema="")
 
 examples = [
     [
@@ -164,9 +169,8 @@ def get_schema(schema_str):
     return schema_list, schema_lang
 
 
-def run_taskflow(document, schema, argument):
+def run_taskflow(document, schema):
     task_instance.set_schema(schema)
-    # task_instance.set_argument(argument)
     return task_instance({'doc': document})
 
 

requirements.txt

@@ -1,7 +1,7 @@
 numpy==1.21.6
 opencv-python
 # install from git for now, wait until v2.4.6 release
-PaddleNLP
+git+https://github.com/PaddlePaddle/PaddleNLP
 paddleocr
 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html
 paddlepaddle-gpu==2.4.1.post112