update the queue
Browse files
__pycache__/inference_svm_model.cpython-310.pyc
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Binary file (960 Bytes)
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__pycache__/mineru_single.cpython-310.pyc
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Binary file (4.24 kB)
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__pycache__/worker.cpython-310.pyc
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Binary file (4.85 kB)
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app.py
CHANGED
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@@ -42,7 +42,7 @@ async def process_pdf(
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channel.basic_publish(
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exchange="",
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-
routing_key="
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body=json.dumps(input_json),
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properties=pika.BasicProperties(
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headers={"process": "topic_extraction"}
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channel.basic_publish(
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exchange="",
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+
routing_key="gpu_server",
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body=json.dumps(input_json),
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properties=pika.BasicProperties(
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headers={"process": "topic_extraction"}
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download_models_hf.py
CHANGED
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@@ -1,67 +1,66 @@
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-
import json
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import os
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import requests
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from huggingface_hub import snapshot_download
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-
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def download_json(url):
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# 下载JSON文件
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response = requests.get(url)
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response.raise_for_status() # 检查请求是否成功
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return response.json()
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-
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-
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-
def download_and_modify_json(url, local_filename, modifications):
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if os.path.exists(local_filename):
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data = json.load(open(local_filename))
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config_version = data.get('config_version', '0.0.0')
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if config_version < '1.1.1':
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data = download_json(url)
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else:
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data = download_json(url)
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-
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# 修改内容
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for key, value in modifications.items():
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data[key] = value
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-
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# 保存修改后的内容
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with open(local_filename, 'w', encoding='utf-8') as f:
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json.dump(data, f, ensure_ascii=False, indent=4)
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-
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-
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if __name__ == '__main__':
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-
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mineru_patterns = [
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"models/Layout/LayoutLMv3/*",
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"models/Layout/YOLO/*",
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"models/MFD/YOLO/*",
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"models/MFR/unimernet_small_2501/*",
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"models/TabRec/TableMaster/*",
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"models/TabRec/StructEqTable/*",
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]
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model_dir = snapshot_download('opendatalab/PDF-Extract-Kit-1.0', allow_patterns=mineru_patterns)
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-
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layoutreader_pattern = [
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"*.json",
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"*.safetensors",
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]
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layoutreader_model_dir = snapshot_download('hantian/layoutreader', allow_patterns=layoutreader_pattern)
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model_dir = model_dir + '/models'
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print(f'model_dir is: {model_dir}')
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print(f'layoutreader_model_dir is: {layoutreader_model_dir}')
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json_url = 'https://github.com/opendatalab/MinerU/raw/master/magic-pdf.template.json'
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config_file_name = 'magic-pdf.json'
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home_dir = os.path.expanduser('~')
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config_file = os.path.join(home_dir, config_file_name)
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json_mods = {
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'models-dir': model_dir,
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'layoutreader-model-dir': layoutreader_model_dir,
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print(f'The configuration file has been configured successfully, the path is: {config_file}')
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+
import json
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+
import os
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+
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+
import requests
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+
from huggingface_hub import snapshot_download
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+
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+
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+
def download_json(url):
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+
# 下载JSON文件
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+
response = requests.get(url)
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response.raise_for_status() # 检查请求是否成功
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return response.json()
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+
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+
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+
def download_and_modify_json(url, local_filename, modifications):
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+
if os.path.exists(local_filename):
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data = json.load(open(local_filename))
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config_version = data.get('config_version', '0.0.0')
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+
if config_version < '1.1.1':
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data = download_json(url)
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else:
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data = download_json(url)
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+
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+
# 修改内容
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+
for key, value in modifications.items():
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+
data[key] = value
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+
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+
# 保存修改后的内容
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+
with open(local_filename, 'w', encoding='utf-8') as f:
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json.dump(data, f, ensure_ascii=False, indent=4)
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+
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+
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+
if __name__ == '__main__':
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+
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+
mineru_patterns = [
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"models/Layout/LayoutLMv3/*",
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+
"models/Layout/YOLO/*",
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"models/MFD/YOLO/*",
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+
"models/MFR/unimernet_small_2501/*",
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"models/TabRec/TableMaster/*",
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+
"models/TabRec/StructEqTable/*",
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]
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model_dir = snapshot_download('opendatalab/PDF-Extract-Kit-1.0', allow_patterns=mineru_patterns)
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+
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+
layoutreader_pattern = [
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+
"*.json",
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+
"*.safetensors",
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]
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layoutreader_model_dir = snapshot_download('hantian/layoutreader', allow_patterns=layoutreader_pattern)
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+
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+
model_dir = model_dir + '/models'
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print(f'model_dir is: {model_dir}')
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print(f'layoutreader_model_dir is: {layoutreader_model_dir}')
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+
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json_url = 'https://github.com/opendatalab/MinerU/raw/master/magic-pdf.template.json'
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config_file_name = 'magic-pdf.json'
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+
home_dir = os.path.expanduser('~')
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config_file = os.path.join(home_dir, config_file_name)
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+
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+
json_mods = {
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'models-dir': model_dir,
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'layoutreader-model-dir': layoutreader_model_dir,
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}
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download_and_modify_json(json_url, config_file, json_mods)
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print(f'The configuration file has been configured successfully, the path is: {config_file}')
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