add gitignore

config.json

@@ -1,5 +1,5 @@
 {
-  "postprocess_function": "\ndef post_process_code(output):\n    import torch\n    classes = ['ACCOUNTANT', 'ADVOCATE', 'AGRICULTURE', 'APPAREL', 'ARTS', 'AUTOMOBILE', 'AVIATION', 'BANKING', 'BPO', 'BUSINESS-DEVELOPMENT', 'CHEF', 'CONSTRUCTION', 'CONSULTANT', 'DESIGNER', 'DIGITAL-MEDIA', 'ENGINEERING', 'FINANCE', 'FITNESS', 'HEALTHCARE', 'HR', 'INFORMATION-TECHNOLOGY', 'PUBLIC-RELATIONS', 'SALES', 'TEACHER']\n    try:\n        logits = output.logits\n        sigmoid = torch.nn.Sigmoid()\n        probs = sigmoid(logits.squeeze().cpu())\n        temp = probs.sort()\n        return classes[temp[-1][-1].item()]\n    except:\n        print(\"Some Error occured\")\n",
-  "preprocess_function": "\ndef preprocess_code(text):\n    import re\n    import string\n    import spacy\n\n    try:\n\n        # Checking if it the string\n        text = str(text)\n\n        # remove html\n        text = re.sub(r\"<.*?>\",\"\", text)\n        \n        # Remove URL\n        url_pattern = r\"https?://\\S+|www\\.\\S+|\\S+\\.\\S{2,\"\n        text = re.sub(url_pattern,\"\", text)\n\n        # Remove Punctuation\n        translator = str.maketrans(\"\",\"\", string.punctuation)\n        text.translate(translator)\n\n        # Lower case\n        text.lower().strip()\n\n        # Remove Unicodes - only applicable for english language. Because other language letters represented as unicodes.\n        unicode_pattern = str.maketrans(\"\",\"\",\"\\xa0\")\n        text.translate(unicode_pattern)\n\n        # Remove Escape sequences (\\n, \\t, \\r)\n        text = re.sub(r\"\\[nt\\r]\",\" \",text)\n\n        # Remove Stop words using spacy\n\n        spacy.prefer_gpu() # using GPU if available. may reduce the run time.\n        nlp = spacy.load(\"en_core_web_sm\")\n        doc = nlp(text)\n        text = \" \".join([token.text for token in doc if not token.is_stop])\n\n        # Remove irrelevant white spaces\n        text = re.sub(r\"\\s+\",\" \",text)\n    except:\n        print(f\"error occured\")\n    \n    return text\n",
+  "postprocess_function": "\ndef post_process(output):\n    import torch\n    classes = ['ACCOUNTANT', 'ADVOCATE', 'AGRICULTURE', 'APPAREL', 'ARTS', 'AUTOMOBILE', 'AVIATION', 'BANKING', 'BPO', 'BUSINESS-DEVELOPMENT', 'CHEF', 'CONSTRUCTION', 'CONSULTANT', 'DESIGNER', 'DIGITAL-MEDIA', 'ENGINEERING', 'FINANCE', 'FITNESS', 'HEALTHCARE', 'HR', 'INFORMATION-TECHNOLOGY', 'PUBLIC-RELATIONS', 'SALES', 'TEACHER']\n    try:\n        logits = output.logits\n        sigmoid = torch.nn.Sigmoid()\n        probs = sigmoid(logits.squeeze().cpu())\n        temp = probs.sort()\n        return classes[temp[-1][-1].item()]\n    except:\n        print(\"Some Error occured\")\n",
+  "preprocess_function": "\ndef preprocess(text):\n    import re\n    import string\n    import spacy\n\n    try:\n\n        # Checking if it the string\n        text = str(text)\n\n        # remove html\n        text = re.sub(r\"<.*?>\",\"\", text)\n        \n        # Remove URL\n        url_pattern = r\"https?://\\S+|www\\.\\S+|\\S+\\.\\S{2,\"\n        text = re.sub(url_pattern,\"\", text)\n\n        # Remove Punctuation\n        translator = str.maketrans(\"\",\"\", string.punctuation)\n        text.translate(translator)\n\n        # Lower case\n        text.lower().strip()\n\n        # Remove Unicodes - only applicable for english language. Because other language letters represented as unicodes.\n        unicode_pattern = str.maketrans(\"\",\"\",\"\\xa0\")\n        text.translate(unicode_pattern)\n\n        # Remove Escape sequences (\\n, \\t, \\r)\n        text = re.sub(r\"\\[nt\\r]\",\" \",text)\n\n        # Remove Stop words using spacy\n\n        spacy.prefer_gpu() # using GPU if available. may reduce the run time.\n        nlp = spacy.load(\"en_core_web_sm\")\n        doc = nlp(text)\n        text = \" \".join([token.text for token in doc if not token.is_stop])\n\n        # Remove irrelevant white spaces\n        text = re.sub(r\"\\s+\",\" \",text)\n    except:\n        print(f\"error occured\")\n    \n    return text\n",
   "transformers_version": "4.47.0"
 }

gitignore

@@ -0,0 +1,2 @@
+utils.py
+

utils.py

@@ -1,7 +1,7 @@
 
 # Preprocess functions
 preprocess_code = """
-def preprocess_code(text):
+def preprocess(text):
     import re
     import string
     import spacy
@@ -49,7 +49,7 @@ def preprocess_code(text):
 
 
 postprocess_code = """
-def post_process_code(output):
+def post_process(output):
     import torch
     classes = ['ACCOUNTANT', 'ADVOCATE', 'AGRICULTURE', 'APPAREL', 'ARTS', 'AUTOMOBILE', 'AVIATION', 'BANKING', 'BPO', 'BUSINESS-DEVELOPMENT', 'CHEF', 'CONSTRUCTION', 'CONSULTANT', 'DESIGNER', 'DIGITAL-MEDIA', 'ENGINEERING', 'FINANCE', 'FITNESS', 'HEALTHCARE', 'HR', 'INFORMATION-TECHNOLOGY', 'PUBLIC-RELATIONS', 'SALES', 'TEACHER']
     try: