Create crew.py

crew.py

@@ -0,0 +1,81 @@
+import os
+from textwrap import dedent
+from crewai import Agent, Task
+
+
+class FormFillingAgents:
+    """Agents for form-filling tasks."""
+
+    def resume_analysis_agent(self,llm):
+        """Creates an agent to analyze resumes and match job descriptions."""
+        return Agent(
+            role="Resume Analysis Agent",
+            llm=llm,
+            goal="Analyse the resume and extract the required information.",
+            backstory=dedent("""You are a Resume Analysis Agent that analysis provided resume
+                             and extract the required information from it.Seach for the best matching job online
+                             so that it can be used for further processes like Job Form Filling."""),
+        )
+
+    def question_answering_agent(self,llm):
+        """Creates an agent to answer user questions."""
+        return Agent(
+            role="Question Answering Agent",
+            llm=llm,
+            goal="Answer user-provided questions accurately and correctly.",
+            backstory=dedent("""You are a Question Answering Agent
+                    and you have been assigned to answer the questions asked by the users.
+                    You have to make sure that the answers are correct and accurate."""),
+        )
+
+class FormFillingTasks:
+    """Tasks for form-filling processes."""
+
+    def profile_analysis_task(self, agent, resume_data, job_desc):
+        """Creates a task for analyzing resumes against job descriptions."""
+        return Task(
+            name="Profile Analysis Task",
+            description=dedent(f"""
+        Your Task: Analyze the provided resume and job description to identify key matches and insights.  
+        
+        **Objectives:**  
+        - Understand the company's requirements and expectations for the role by reviewing the job description.  
+        - Compare and match the user's resume data to the job description, highlighting relevant skills, achievements, and experiences.  
+        - Extract actionable insights from the resume that align with the role's requirements.  
+
+        **Input Data:**  
+        - User-provided resume: {resume_data}  
+        - Job description for the role: {job_desc}  
+        
+        Your output should demonstrate a clear understanding of the job's demands and the user's suitability based on their resume."""),
+            expected_output=dedent(f"""You have successfully understand the companies requirement and the job description 
+                try to match the resume with the job description and extract the required information."""),
+            agent=agent,
+        )
+
+    def question_answering_task(self, agent, questions):
+        """Creates a task for answering questions from hiring personnel."""
+        return Task(
+            name="Question Answering Task",
+            description=dedent(f"""
+        Your Task: Respond to job application or HR-related questions by providing answers that maximize the user's chances of securing the job.  
+        
+        **Objectives:**  
+        - Leverage the user's resume and the job description to craft tailored responses.  
+        - Provide accurate, thoughtful, and professional answers that reflect the user's actual skills, experiences, and qualifications.  
+        - Ensure that the answers align with the role's requirements and highlight the user's suitability.  
+
+        **Guidelines:**  
+        - Do **not** fabricate skills or qualifications not present in the resume.  
+        - Emphasize the user's strengths, achievements, and relevance to the role.  
+        - Focus on creating responses that fulfill job application requirements or address HR queries effectively.  
+
+        **Input Data:**  
+        - List of questions from HR or hiring personnel: {questions}  
+
+        Your responses will directly impact the user's success in the application process. Aim for precision, professionalism, and alignment with the provided data."""),           
+                               
+            expected_output="You final output must include all questions asked and their answers .",
+            agent=agent,
+        )
+