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OpenAI API
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from openai import OpenAI | |
import os | |
import ipdb | |
import base64 | |
api_key = os.getenv('OPENAI_API_KEY') | |
client = OpenAI() | |
client.api_key = api_key | |
# Function to encode the image | |
def encode_image(image_path): | |
with open(image_path, "rb") as image_file: | |
return base64.b64encode(image_file.read()).decode('utf-8') | |
# Path to your image | |
image_path = "./dgh.jpeg" | |
# Getting the base64 string | |
base64_image = encode_image(image_path) | |
response = client.chat.completions.create( | |
model="gpt-4o", | |
messages=[ | |
{ | |
"role": "user", | |
"content": [ | |
{"type": "text", "text": "There are A number of person and B number of animal in this image. What is A and B. Answer in this in json format"}, | |
{ | |
"type": "image_url", | |
"image_url": { | |
"url": f"data:image/jpeg;base64,{base64_image}", | |
"detail": "low" | |
} | |
}, | |
], | |
} | |
], | |
max_tokens=200, | |
) | |
response.model_dump().keys() # dict_keys(['id', 'choices', 'created', 'model', 'object', 'service_tier', 'system_fingerprint', 'usage']) | |
print(response.model_dump_json()) | |
# Get content | |
print(response.choices[0].model_dump()['message']['content']) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from openai import OpenAI | |
import os | |
import ipdb | |
api_key = os.getenv('OPENAI_API_KEY') | |
client = OpenAI() | |
client.api_key = api_key | |
response = client.chat.completions.create( | |
model="gpt-4o", | |
messages=[ | |
{ | |
"role": "user", | |
"content": [ | |
{"type": "text", "text": "What's in this image?"}, | |
{ | |
"type": "image_url", | |
"image_url": | |
{"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", | |
} | |
}, | |
], | |
} | |
], | |
max_tokens=300, | |
) | |
response.model_dump().keys() # dict_keys(['id', 'choices', 'created', 'model', 'object', 'service_tier', 'system_fingerprint', 'usage']) | |
# Get content | |
print(response.choices[0].model_dump()['message']['content']) |
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