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test_openai.py
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from openai import OpenAI
import os
import base64
import requests
# OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
def encode_image(image_path):
with open(image_path, "rb") as image_file:
return base64.b64encode(image_file.read()).decode('utf-8')
client = OpenAI()
# image_a = encode_image("frames/4976.jpg")
# image_b = encode_image("frames/5001.jpg")
# image_c = encode_image("frames/5026.jpg")
# image_a = encode_image("icespice/bad_0.png")
# image_b = encode_image("icespice/bad_1.png")
image_a = encode_image("icespice/stiched.jpg")
# image_b = encode_image("icespice/1.png")
# image_c = encode_image("icespice/2.png")
response = client.chat.completions.create(
model="gpt-4-vision-preview",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Does the music artist named Ice Spice appear in every frame of this frame sequence? I need you to output only this dict filled in {is_pictured_in_each: bool}"
# "text": "Does Ice Spice appear in each frame of this sequence of frames? Is her mouth moving? I need you to output only this dict filled in {is_pictured_in_each: bool, is_mouth_moving: bool}"
# "text": "Does Omni-Man appear in this sequence of frames? Is he speaking? How is he feeling emotionally? I need you to output only this dict filled in {is_pictured: bool, is_speaking: bool, emotion: 'normal' | 'angry' | 'happy' | 'sad' | None}"
},
{
"type": "image_url",
"image_url": {
"url": f"data:image/jpeg;base64,{image_a}",
"detail": "low"
}
},
# {
# "type": "image_url",
# "image_url": {
# "url": f"data:image/jpeg;base64,{image_b}",
# "detail": "low"
# }
# },
# {
# "type": "image_url",
# "image_url": {
# "url": f"data:image/jpeg;base64,{image_b}",
# "detail": "low"
# }
# },
# {
# "type": "image_url",
# "image_url": {
# "url": f"data:image/jpeg;base64,{image_d}",
# "detail": "low"
# }
# },
# {
# "type": "image_url",
# "image_url": {
# "url": f"data:image/jpeg;base64,{image_c}",
# "detail": "low"
# }
# }
],
}
],
max_tokens=300,
)
print(response.choices[0])
response = client.chat.completions.create(
model="gpt-4-vision-preview",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "Does Ice Spice's mouth move between each frame of this frame sequence? I need you to output only this dict filled in {is_speaking: bool}"
# "text": "Does Ice Spice appear in each frame of this sequence of frames? Is her mouth moving? I need you to output only this dict filled in {is_pictured_in_each: bool, is_mouth_moving: bool}"
# "text": "Does Omni-Man appear in this sequence of frames? Is he speaking? How is he feeling emotionally? I need you to output only this dict filled in {is_pictured: bool, is_speaking: bool, emotion: 'normal' | 'angry' | 'happy' | 'sad' | None}"
},
{
"type": "image_url",
"image_url": {
"url": f"data:image/jpeg;base64,{image_a}",
"detail": "low"
}
},
# {
# "type": "image_url",
# "image_url": {
# "url": f"data:image/jpeg;base64,{image_b}",
# "detail": "low"
# }
# },
# {
# "type": "image_url",
# "image_url": {
# "url": f"data:image/jpeg;base64,{image_b}",
# "detail": "low"
# }
# },
# {
# "type": "image_url",
# "image_url": {
# "url": f"data:image/jpeg;base64,{image_d}",
# "detail": "low"
# }
# },
# {
# "type": "image_url",
# "image_url": {
# "url": f"data:image/jpeg;base64,{image_c}",
# "detail": "low"
# }
# }
],
}
],
max_tokens=300,
)
print(response.choices[0])