basic.py

import os
import base64
import requests
from dotenv import load_dotenv
import cv2
import tensorflow as tf
import numpy as np
from openai import OpenAI


# Load environment variables from .env file
load_dotenv()

# Retrieve the API key from environment variables
api_key = os.getenv('api-key')
client = OpenAI(api_key=api_key)

if api_key is None:
    raise ValueError("API key not found. Please set the OPENAI_API_KEY environment variable.")

print(f"Loaded API key: {api_key}")  # Debugging line to verify API key loading

def encode_image(image_path):
    """Encodes the image to base64 format."""
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode('utf-8')
    
def analyze_image(image_path, prompt="What’s in this image?"):
    """Analyzes the image using OpenAI's vision capabilities."""
    base64_image = encode_image(image_path)
    
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {api_key}"
    }
    
    payload = {
        "model": "gpt-4-turbo",
        "messages": [
            {
                "role": "user",
                "content": [
                    {"type": "text", "text": prompt},
                    {
                        "type": "image_url",
                        "image_url": {
                            "url": f"data:image/jpeg;base64,{base64_image}"
                        }
                    }
                ]
            }
        ],
        "max_tokens": 300
    }

    response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload)
    return response.json()

# Path to your image file
image_path = 'test_image.png'
result = analyze_image(image_path)
print(result)