File size: 1,795 Bytes
8fcd0f0 38a4fa7 8fcd0f0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
import base64
import requests
import os
openai_api_key=os.environ.get("openai_api_key")
#openai_api_key = os.getenv('openai_api_key')
# Mock function to simulate image encoding and API call
def encode_image_to_base64(image_path):
with open(image_path, "rb") as image_file:
return base64.b64encode(image_file.read()).decode('utf-8')
# Function to get summary from OpenAI GPT-4 Vision API
def get_image_summary(image_path):
# Encode the selected image
base64_image = encode_image_to_base64(image_path)
# OpenAI API URL and Key
api_url = "https://api.openai.com/v1/chat/completions"
#openai_api_key = "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"
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {openai_api_key}"
}
payload = {
"model": "gpt-4-vision-preview", # Update this if the model name changes
"messages": [
{
"role": "user",
"content": [
{
"type": "image_url",
"image_url": {
"url": f"data:image/jpeg;base64,{base64_image}"
}
},
{
"type": "text",
"text": "You have provide an explanation for this figure or table. Consider elements like panels, axis, data and labels and etc."
}
]
}
],
"max_tokens": 1000
}
response = requests.post(api_url, headers=headers, json=payload)
if response.status_code == 200:
return response.json()["choices"][0]["message"]["content"]
else:
return "Failed to get summary. Please try again." |