Question posted in 
from flask import Flask, request, jsonify, send_from_directory
import openai
from openai import OpenAI
import os
app = Flask(__name__)
openai.api_key = 'sk-' # I added my key here.
@app.route('/')
def index():
return send_from_directory('.', 'index.html')
@app.route('/analyze', methods=['POST'])
def analyze_cv():
if 'cv' not in request.files or 'job_description' not in request.files:
return jsonify({'error': 'CV and Job Description files are required'}), 400
cv = request.files['cv'].read()
job_description = request.files['job_description'].read()
try:
cv = cv.decode('utf-8')
except UnicodeDecodeError:
cv = cv.decode('latin-1')
try:
job_description = job_description.decode('utf-8')
except UnicodeDecodeError:
job_description = job_description.decode('latin-1')
prompt = f"Given the following job description:n{job_description}nnAssess the suitability of the candidate based on the CV:n{cv}nnScore the candidate from 1 to 10 and provide an explanation."
try:
client = OpenAI(api_key = os.environ.get("OPENAI_API_KEY"),)
openai.Completion.create
response = client.Completions.create(
engine="text-davinci-003",
prompt=prompt,
temperature=0.7,
max_tokens=1024
)
score = int(response.choices[0].text.split()[0])
explanation = response.choices[0].text.split('n')[1]
return jsonify({'score': score, 'explanation': explanation}), 200
except Exception as e:
print(e)
return jsonify({'error': 'An error occurred while analyzing the CV'}), 500
if __name__ == '__main__':
app.run(debug=True)
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>CV Analyzer</title>
</head>
<body>
<h1>CV Analyzer</h1>
<input type="file" id="cv" accept=".pdf,.doc,.docx">
<input type="file" id="job_description" accept=".pdf,.txt,.doc,.docx">
<button onclick="analyze()">Analyze</button>
<div id="result"></div>
<script>
function analyze() {
var cvFile = document.getElementById('cv').files[0];
var jobDescriptionFile = document.getElementById('job_description').files[0];
if (!cvFile || !jobDescriptionFile) {
alert('Please upload both CV and Job Description files.');
return;
}
var formData = new FormData();
formData.append('cv', cvFile);
formData.append('job_description', jobDescriptionFile);
fetch('/analyze', {
method: 'POST',
body: formData
})
.then(response => response.json())
.then(data => {
document.getElementById('result').innerHTML = `
<h2>Score: ${data.score}</h2>
<p>${data.explanation}</p>
`;
})
.catch(error => console.error('Error:', error));
}
</script>
</body>
</html>
So I coded the above two file. But I am unable to get the "Score".
On console this error pops up again and again:
The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable
127.0.0.1 - - [04/May/2024 20:55:38] "POST /analyze HTTP/1.1" 500 -
Could someone please help me here?
I have tried what was given by some on SO. But it just does not work.
2
Answers
This code now works. But another error pops up 127.0.0.1 - - [04/May/2024 22:29:55] "GET / HTTP/1.1" 304 - Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.', 'type': 'insufficient_quota', 'param': None, 'code': 'insufficient_quota'}} 127.0.0.1 - - [04/May/2024 22:30:17] "POST /analyze HTTP/1.1" 500 -
Regarding the error
You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors., you can use an alternative package calledgpt4free. I do recommend it, it’s certainly nice for projects on a small scale. Just try not to abuse it too much, as that would drain the pockets of the Providers 🙂URL: https://github.com/xtekky/gpt4free