Added one-step resume writer 'agent' that reformats the information parsed from the linkedin profile export as clean markdown.

configuration.py

@@ -0,0 +1,20 @@
+"""Global configuration for the Resumate application."""
+
+from smolagents import OpenAIServerModel
+
+AGENT_MODEL = OpenAIServerModel(
+    model_id="gpt-4.1",
+    max_tokens=8000
+)
+
+INSTRUCTIONS = """
+You are an AI agent responsible for writing a resume based on the provided context. Your task is to generate a well-structured and professional resume that highlights the user's skills, experiences, and achievements.
+You will receive structured text extracted from a LinkedIn profile PDF and GitHub. Use this information to create a comprehensive resume that includes the following sections:
+- Contact Information
+- Summary
+- Skills
+- Work Experience
+- Education
+
+Format the resume using Markdown syntax, ensuring that it is easy to read and visually appealing. Use appropriate headings, bullet points, and formatting to enhance clarity and presentation.
+"""

functions/gradio.py

@@ -7,6 +7,7 @@ Functions for handling Gradio UI interactions and processing user inputs.
 import logging
 from functions.linkedin_resume import extract_text_from_linkedin_pdf
 from functions.github import get_github_repositories
+from functions.writer_agent import write_resume
 
 # Set up logging
 logging.basicConfig(level=logging.INFO)
@@ -78,6 +79,9 @@ def process_inputs(linkedin_pdf, github_url, job_post_text):
         logger.info("No job post text provided")
 
     logger.info("Input processing completed")
+
+    resume = write_resume(extraction_result)
+    
     return result
 
 

functions/writer_agent.py

@@ -0,0 +1,41 @@
+'''Agent responsible for writing the resume based on user provided context'''
+
+import json
+import logging
+from smolagents import CodeAgent
+from configuration import AGENT_MODEL, INSTRUCTIONS
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+def write_resume(content: str) -> str:
+
+    """
+    Generates a resume based on the provided content.
+
+    Args:
+        content (str): The content to be used for generating the resume.
+
+    Returns:
+        str: The generated resume.
+    """
+
+    if content['status'] == 'success':
+        
+        agent = CodeAgent(
+            model=AGENT_MODEL,
+            tools=[],
+            additional_authorized_imports=['json'],
+            name="writer_agent",
+            verbosity_level=5,
+            max_steps=20,
+            planning_interval=5
+        )
+
+        submitted_answer = agent.run(
+            INSTRUCTIONS + '\n' + json.dumps(content['structured_text']),
+        )
+
+        logger.info("submitted_answer: %s", submitted_answer)    
+    
+    return submitted_answer

requirements.txt

@@ -1,3 +1,4 @@
 gradio==5.35.0
-PyPDF2==3.0.1
-requests==2.31.0
+PyPDF2
+requests
+smolagents[openai]