Files
encoach_backend/app.py
2023-06-19 23:38:47 +01:00

67 lines
3.2 KiB
Python

from flask import Flask, request
from flask_jwt_extended import JWTManager, jwt_required
from functools import reduce
from helper.token_counter import count_tokens
from helper.process_response import make_openai_call
import os
from dotenv import load_dotenv
load_dotenv()
app = Flask(__name__)
app.config['JWT_SECRET_KEY'] = os.getenv("JWT_SECRET_KEY")
jwt = JWTManager(app)
@app.route('/writing_task2', methods=['POST'])
@jwt_required()
def grade_writing_task():
data = request.get_json() # Assuming the request data is in JSON format
question = data.get('question')
answer = data.get('answer')
messages = [
{
"role": "system",
"content": "You are a IELTS examiner.",
},
{
"role": "system",
"content": f"The question you have to grade is of type Writing Task 2 and is the following: {question}",
},
{
"role": "user",
"content": "It is mandatory for you to provide your response with the overall grade and breakdown grades, "
"in the following json format: {'comment': 'comment about answer quality', 'overall': 7.0, 'task_response': {'Task Achievement': 8.0, "
"'Coherence and Cohesion': 6.5, 'Lexical Resource': 7.5, 'Grammatical Range and Accuracy': "
"6.0}}",
},
{
"role": "user",
"content": "Example output: { 'comment': 'Overall, the response is good but there are some areas that need "
"improvement.\n\nIn terms of Task Achievement, the writer has addressed all parts of the question "
"and has provided a clear opinion on the topic. However, some of the points made are not fully "
"developed or supported with examples.\n\nIn terms of Coherence and Cohesion, there is a clear "
"structure to the response with an introduction, body paragraphs and conclusion. However, there "
"are some issues with cohesion as some sentences do not flow smoothly from one to another.\n\nIn "
"terms of Lexical Resource, there is a good range of vocabulary used throughout the response and "
"some less common words have been used effectively.\n\nIn terms of Grammatical Range and Accuracy, "
"there are some errors in grammar and sentence structure which affect clarity in places.\n\nOverall, "
"this response would score a band 6.5.', 'overall': 6.5, 'task_response': "
"{ 'Coherence and Cohesion': 6.5, 'Grammatical Range and Accuracy': 6.0, 'Lexical Resource': 7.0, "
"'Task Achievement': 7.0}}",
},
{
"role": "user",
"content": f"Evaluate this answer according to ielts grading system: {answer}",
},
]
token_count = reduce(lambda count, item: count + count_tokens(item)['n_tokens'],
map(lambda x: x["content"], filter(lambda x: "content" in x, messages)), 0)
response = make_openai_call(messages, token_count)
return response
if __name__ == '__main__':
app.run()