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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)
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