Update utils/mistral.py

utils/mistral.py

@@ -13,7 +13,8 @@ from utils.spacy import Parser_from_model
 load_dotenv()
 
 # Authenticate with Hugging Face
-HFT = os.getenv('HF_TOKEN') 
+HFT = os.getenv('HF_TOKEN')
+
 if not HFT:
     raise ValueError("Hugging Face token is not set in environment variables.")
 client = InferenceClient(model="mistralai/Mistral-Nemo-Instruct-2407", token=HFT)
@@ -56,11 +57,11 @@ def Model_ProfessionalDetails_Output(resume, client):
             "projects": ["Extract all projects names or titles mentioned in the resume."],
             "projects_experience": ["Summarize overall project experiences, providing a brief description of each project as detailed in the resume."],
             "experience": ["Calculate total professional work experience in years and months based on the resume."],            
-            "certifications": ["Extract and list all certifications obtained as stated in the resume."],
-            "roles": ["Include the names of all job titles or roles held as indicated in the resume."],
+            "certifications": ["List and Extract  all certifications mentioned in the resume."],
+            "roles": ["List and Extract the names of all job titles or roles mentioned in the resume."],
             "qualifications": ["List and Extract all educational qualifications, including degrees (e.g., BBA, MBA), their full forms, and associated levels (e.g., undergraduate, postgraduate) from resume. If none are found, return []."],
             "university": ["List and Extract the name of the University, College, or Institute attended, based on the resume. If not found, return []."],
-            "courses": ["Extract the names of completed courses or based on the resume. If none are found, return []."]
+            "courses": ["List and Extract the names of completed courses or based on the resume. If none are found, return []."]
         }}
     }}
     output: