Update chains.py

chains.py

@@ -40,7 +40,10 @@ class Chain:
             "Casual": "Use a friendly, engaging tone. Keep it light while still showcasing strengths.",
             "Persuasive": "Be compelling and assertive. Highlight why you are the perfect fit with strong language."
         }
-        
+
+        # Convert style name to lowercase for prompt clarity
+        email_style_lower = email_style.lower()
+
         prompt_email = PromptTemplate.from_template(
             """
             ### JOB DETAILS:
@@ -52,7 +55,7 @@ class Chain:
             
             ### INSTRUCTION:
             You are {username}, a motivated MCA graduate with strong technical and analytical skills, seeking an opportunity to contribute to {company_name} as a {job_title}.
-            Craft a **{email_style.lower()} cold email** to {client_name} demonstrating your skills, projects, and value.
+            Craft a **{email_style} cold email** to {client_name} demonstrating your skills, projects, and value.
             
             Style Instruction: {style_instruction}
             
@@ -85,7 +88,7 @@ class Chain:
             "link_list": formatted_links,
             "username": username,
             "client_name": client_name,
-            "email_style": email_style,
+            "email_style": email_style_lower,  # Fixed Issue
             "style_instruction": style_instructions[email_style]
         })
     
@@ -93,89 +96,3 @@ class Chain:
 
 if __name__ == "__main__":
     print(os.getenv("GROQ_API_KEY"))
-
-
-
-# import os
-# from langchain_groq import ChatGroq
-# from langchain_core.prompts import PromptTemplate
-# from langchain_core.output_parsers import JsonOutputParser
-# from langchain_core.exceptions import OutputParserException
-# from dotenv import load_dotenv
-
-# load_dotenv()
-
-# class Chain:
-#     def __init__(self):
-#         self.llm = ChatGroq(temperature=0, groq_api_key=os.getenv("GROQ_API_KEY"), model_name="llama-3.3-70b-versatile")
-
-#     def extract_jobs(self, cleaned_text):
-#         prompt_extract = PromptTemplate.from_template(
-#             """
-#             ### SCRAPED TEXT FROM WEBSITE:
-#             {page_data}
-#             ### INSTRUCTION:
-#             The scraped text is from the career's page of a website.
-#             Your job is to extract the job postings and return them in JSON format containing the following keys: `role`, `experience`, `skills` and `description`.
-#             Only return the valid JSON.
-#             ### VALID JSON (NO PREAMBLE):
-#             """
-#         )
-#         chain_extract = prompt_extract | self.llm
-#         res = chain_extract.invoke(input={"page_data": cleaned_text})
-#         try:
-#             json_parser = JsonOutputParser()
-#             res = json_parser.parse(res.content)
-#         except OutputParserException:
-#             raise OutputParserException("Context too big. Unable to parse jobs.")
-#         return res if isinstance(res, list) else [res]
-
-#     def write_mail(self, job, links, username="Thamani", client_name="Hiring Manager"):
-#         prompt_email = PromptTemplate.from_template(
-#             """
-#             ### JOB DETAILS:
-#             - Role: {job_title}
-#             - Company: {company_name}
-#             - Experience Required: {experience}
-#             - Skills: {skills}
-#             - Description: {job_description}
-            
-#             ### INSTRUCTION:
-#             You are {username}, a motivated MCA graduate with strong technical and analytical skills, seeking an opportunity to contribute to {company_name} as a {job_title}.
-#             Craft a **compelling and professional** cold email to {client_name}, demonstrating how your academic background, technical expertise, and problem-solving abilities align with the role’s requirements.  
-#             Effectively highlight your **skills, relevant projects, certifications, or portfolio links**: {link_list}, showcasing how you can add value to the company.  
-#             Ensure the email is **concise, persuasive, and professionally structured**, making a strong impression on the hiring manager.  
-#             ### EMAIL (NO PREAMBLE):
-#             """  
-#         )
-    
-#         chain_email = prompt_email | self.llm
-    
-#         # Extract job details, handling missing fields
-#         job_title = job.get("role", "the position")
-#         company_name = job.get("company", "the company")
-#         experience = job.get("experience", "not specified")
-#         skills = ", ".join(job.get("skills", [])) or "not mentioned"
-#         job_description = job.get("description", "No description provided.")
-    
-#         # Filter out empty links
-#         valid_links = [link for link in links if link]
-#         formatted_links = "\n".join(f"- {link}" for link in valid_links) if valid_links else "No portfolio links provided."
-    
-#         # Generate email
-#         res = chain_email.invoke({
-#             "job_title": job_title,
-#             "company_name": company_name,
-#             "experience": experience,
-#             "skills": skills,
-#             "job_description": job_description,
-#             "link_list": formatted_links,
-#             "username": username,
-#             "client_name": client_name
-#         })
-    
-#         return res.content
-
-# if __name__ == "__main__":
-#     print(os.getenv("GROQ_API_KEY"))
-