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import logging
import re
import base64
from io import BytesIO
from anthropic import Anthropic
def encode_image_to_base64(image):
buffered = BytesIO()
image.save(buffered, format="PNG")
img_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
return img_str
def create_message(sample):
query = sample['query']
all_contents = []
matches = re.findall(r"<(image_\d+)>", query)
split_text = re.split(r"<image_\d+>", query)
for i, fragment in enumerate(split_text):
if fragment.strip():
all_contents.extend([
{"type": "text", "text": fragment}
])
if i < len(matches):
if sample[matches[i]]:
img_base64 = encode_image_to_base64(sample[matches[i]])
all_contents.extend([
{
"type": "image",
"source": {
"type": "base64",
"media_type": "image/png",
"data": img_base64
}
}
])
else:
logging.error(
f"The image token {matches[i]} is in the query, but there is no corresponding image provided by the data")
messages = [
{
"role": "user",
"content": all_contents
}
]
return messages
# build claude class
class Claude_Model():
def __init__(
self,
client: Anthropic,
model="claude-3-5-sonnet-latest",
temperature=0,
max_tokens=1024
):
self.client = client
self.model = model
self.temperature = temperature
self.max_tokens = max_tokens
def get_response(self, sample):
messages = create_message(sample)
try:
v_response = self.client.messages.create(
model=self.model,
max_tokens=self.max_tokens,
temperature=self.temperature,
messages=messages
)
response = v_response.content[0].text
return response
except Exception as e:
print(e)
return None
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