Update README.md

README.md

@@ -21,27 +21,27 @@ language:
 You can use this model directly downloading the utils and requirements files and installing requirements:
 
 ```python
-! wget https://huggingface.co/spaces/kargaranamir/Hengam/raw/main/utils.py
-! wget https://huggingface.co/spaces/kargaranamir/Hengam/raw/main/requirements.txt
-! pip install -r requirements.txt
+>>> ! wget https://huggingface.co/spaces/kargaranamir/Hengam/raw/main/utils.py
+>>> ! wget https://huggingface.co/spaces/kargaranamir/Hengam/raw/main/requirements.txt
+>>> ! pip install -r requirements.txt
 ```
 
 and downloading the models HengamTransA.pth or HengamTransW.pth and building ner pipline:
 
 ```python
-import torch
-from huggingface_hub import hf_hub_download
-from utils import *
+>>> import torch
+>>> from huggingface_hub import hf_hub_download
+>>> from utils import *
 
-# HengamTransW = hf_hub_download(repo_id="kargaranamir/Hengam", filename="HengamTransW.pth")
-HengamTransA = hf_hub_download(repo_id="kargaranamir/Hengam", filename="HengamTransA.pth")
+>>> # HengamTransW = hf_hub_download(repo_id="kargaranamir/Hengam", filename="HengamTransW.pth")
+>>> HengamTransA = hf_hub_download(repo_id="kargaranamir/Hengam", filename="HengamTransA.pth")
 ```
 
 ```python
-# ner = NER(model_path=HengamTransW, tags=['B-TIM', 'I-TIM', 'B-DAT', 'I-DAT', 'O'])
-ner = NER(model_path=HengamTransA, tags=['B-TIM', 'I-TIM', 'B-DAT', 'I-DAT', 'O'])
-ner('.سلام من و دوستم ساعت ۸ صبح روز سه شنبه رفتیم دوشنبه بازار ')
->>
+>>> # ner = NER(model_path=HengamTransW, tags=['B-TIM', 'I-TIM', 'B-DAT', 'I-DAT', 'O'])
+>>> ner = NER(model_path=HengamTransA, tags=['B-TIM', 'I-TIM', 'B-DAT', 'I-DAT', 'O'])
+>>> ner('.سلام من و دوستم ساعت ۸ صبح روز سه شنبه رفتیم دوشنبه بازار ')
+
 [{'Text': 'ساعت', 'Tag': 'B-TIM', 'Start': 17, 'End': 21},
  {'Text': '۸', 'Tag': 'I-TIM', 'Start': 22, 'End': 23},
  {'Text': 'صبح', 'Tag': 'I-TIM', 'Start': 24, 'End': 27},