Support for sending images into OpenAI chat API (#4827)

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kabachuha 2023-12-23 04:45:53 +03:00 committed by GitHub
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2 changed files with 74 additions and 2 deletions

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@ -67,8 +67,56 @@ This extension uses the following parameters (from `settings.json`):
## Usage through API
### Chat completions endpoint
#### With an image URL
```shell
curl http://127.0.0.1:5000/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"messages": [
{
"role": "user",
"image_url": "https://avatars.githubusercontent.com/u/112222186?v=4"
},
{
"role": "user",
"content": "What is unusual about this image?"
}
]
}'
```
#### With a Base64 image
```python
import base64
import json
import requests
img = open('image.jpg', 'rb')
img_bytes = img.read()
img_base64 = base64.b64encode(img_bytes).decode('utf-8')
data = { "messages": [
{
"role": "user",
"image_url": f"data:image/jpeg;base64,{img_base64}"
},
{
"role": "user",
"content": "what is unusual about this image?"
}
]
}
response = requests.post('http://127.0.0.1:5000/v1/chat/completions', json=data)
print(response.text)
```
You can run the multimodal inference through API, by inputting the images to prompt. Images are embedded like so: `f'<img src="data:image/jpeg;base64,{img_str}">'`, where `img_str` is base-64 jpeg data. Note that you will need to launch `server.py` with the arguments `--api --extensions multimodal`.
### Completions endpoint
Python example:
```Python

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@ -1,10 +1,15 @@
import base64
import copy
import re
import time
from collections import deque
from io import BytesIO
import requests
import tiktoken
import torch
import torch.nn.functional as F
from PIL import Image
from transformers import LogitsProcessor, LogitsProcessorList
from extensions.openai.errors import InvalidRequestError
@ -140,7 +145,25 @@ def convert_history(history):
system_message = ""
for entry in history:
if "image_url" in entry:
image_url = entry['image_url']
if "base64" in image_url:
image_url = re.sub('^data:image/.+;base64,', '', image_url)
img = Image.open(BytesIO(base64.b64decode(image_url)))
else:
try:
my_res = requests.get(image_url)
img = Image.open(BytesIO(my_res.content))
except Exception:
raise 'Image cannot be loaded from the URL!'
buffered = BytesIO()
img.save(buffered, format="JPEG")
img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
content = f'<img src="data:image/jpeg;base64,{img_str}">'
else:
content = entry["content"]
role = entry["role"]
if role == "user":
@ -182,7 +205,8 @@ def chat_completions_common(body: dict, is_legacy: bool = False, stream=False) -
raise InvalidRequestError(message="messages: missing role", param='messages')
elif m['role'] == 'function':
raise InvalidRequestError(message="role: function is not supported.", param='messages')
if 'content' not in m:
if 'content' not in m and "image_url" not in m:
raise InvalidRequestError(message="messages: missing content", param='messages')
# Chat Completions