analysis_user_feeling.py

import openai
import os

with open('openai_key.txt', 'r') as f:
    api_key = f.read().strip('\n')
    assert api_key.startswith('sk-'), "Please enter a valid OpenAI API key"


openai.api_key = api_key


def gpt_classify_sentiment(prompt, emotions):
    system_promote= f'''You are an emotionally intelligent assistant.
     Classify the sentiment of the user's text with ONLY ONE OF THE FOLLOWING EMOTIONS: {emotions}.
      After classifying the text, response with the emotions ONLY. '''
    
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[{"role": 'system', "content": system_promote},{"role": "user", "content": prompt}],
        max_tokens=20,
        temperature=0,

    )

    r= response['choices'][0].message.content
    if r == '':
        return 'N/A'
    return r




prompt = "After reviewing your course, I will say the truth. I am not satisfied with the course. I was learning at the beginning, but later I was wasting my time"
emotions = "happy, sad, angry, neutral"
result = gpt_classify_sentiment(prompt=prompt,emotions=emotions)

print(result) # sad