openai_api.py

import openai
from openai import OpenAI
import os

# Set your OpenAI API key (replace with your actual key)
openai.api_key = os.getenv("OPENAI_KEY")

# Initialize the OpenAI client
client = OpenAI(api_key=openai.api_key)

def model_api(input, prompt_type):
    return prompt_type(input)

def sentiment(text):
    print(text)
    # Create a prompt for the model
    prompt = f"""You are trained to analyze and detect the sentiment of the given text.
    If you are unsure of an answer, you can say "not sure" and recommend the user review manually.
    Analyze the following text and determine if the sentiment is: POSITIVE, NEGATIVE or NEUTRAL.
    Reply in single word.
    Examples
    Input: dress was beautiful. Output: POSITIVE
    Input: pizza had weird smell. Output: NEGATIVE
    Input: {text}. Output:"""

    # Call the OpenAI API to generate a response
    response = client.chat.completions.create(
        model="gpt-3.5-turbo",  # Use a powerful model for sentiment analysis
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": prompt}
        ],
        # max_tokens=1,  # Limit response to a single word
        temperature=0  # Keep response consistent
    )
    print(response)
    # Extract the sentiment from the response
    sentiment = response.choices[0].message.content.strip()

    return sentiment

def image_gen(text):
    print(text)    
    response = client.images.generate(
      model="dall-e-3",
      prompt= text,
      size="1024x1024",
      quality="standard",
      n=1,
    )

    image_url = response.data[0].url
    return image_url