app.py

import os
from flask import Flask, request, jsonify
import openai

app = Flask(__name__)

# Load your OpenAI API key
#  - Either from environment variables or from a .env file using dotenv
openai.api_key = os.environ.get("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")

@app.route("/generate-cover-letter", methods=["POST"])
def generate_cover_letter():
    # Example JSON payload: 
    # {
    #   "position": "Data Scientist",
    #   "company": "BigCorp",
    #   "skills": "Machine Learning, Python, R",
    #   "experience_years": 5,
    #   "candidate_name": "John Doe"
    # }

    data = request.json
    position = data.get("position", "Software Engineer")
    company = data.get("company", "SomeCompany")
    skills = data.get("skills", "Python, Data Analysis")
    experience_years = data.get("experience_years", 3)
    candidate_name = data.get("candidate_name", "Candidate")

    # Construct a prompt (prompt engineering) to guide the model
    prompt = f"""
    You are a professional cover letter writing assistant. 
    The user is applying for the position of {position} at {company}. 
    They have {experience_years} years of experience in {skills}.
    Their name is {candidate_name}.

    Please write a compelling, professional cover letter in the first person 
    that highlights relevant skills, experience, and achievements. 
    Ensure the letter is clear, concise, and well-structured. 
    """

    # Call the OpenAI API
    try:
        response = openai.ChatCompletion.create(
            model="gpt-4"
            messages=[
                {"role": "system", "content": "You are an expert cover letter writer."},
                {"role": "user", "content": prompt}
            ],
            temperature=0.7,
            max_tokens=600
        )
        generated_text = response["choices"][0]["message"]["content"].strip()
        
        return jsonify({
            "cover_letter": generated_text
        }), 200
    except Exception as e:
        return jsonify({"error": str(e)}), 500

if __name__ == "__main__":
    # Run Flask app
    app.run(host="0.0.0.0", port=5000, debug=True)