Create app.py

app.py

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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)