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Create claude.py
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claude.py
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import anthropic
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import os
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import base64
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import httpx
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os.environ["ANTHROPIC_API_KEY"] = os.getenv("ANTHROPIC_API_KEY")
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client = anthropic.Anthropic()
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def create_claude_request_for_text_completion(message_schema):
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message = client.messages.create(
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model="claude-3-5-sonnet-20240620",
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max_tokens=1000,
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temperature=0,
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messages=message_schema)
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return message.content[0].text
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def create_claude_image_request_for_image_captioning(system_prompt, caption_prompt, image_data):
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try:
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message = client.messages.create(
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model="claude-3-5-sonnet-20240620",
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max_tokens=1024,
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messages=[
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": system_prompt
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},
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{
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"type": "image",
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"source": {
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"type": "base64",
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"media_type": f"image/jpeg",
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"data": image_data
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}
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},
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{
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"type": "text",
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"text": caption_prompt
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}
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]
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}
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]
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)
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except:
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message = client.messages.create(
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model="claude-3-5-sonnet-20240620",
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max_tokens=1024,
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messages=[
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": system_prompt
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},
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{
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"type": "image",
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"source": {
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"type": "base64",
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"media_type": f"image/png",
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"data": image_data
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}
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},
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{
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"type": "text",
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"text": caption_prompt
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}
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]
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}
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]
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)
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return message.content[0].text
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def embed_base64_for_claude(image_path):
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# Open the image file in binary mode
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with open(image_path, "rb") as image_file:
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# Read the image and encode it to base64
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image_data = base64.b64encode(image_file.read()).decode("utf-8")
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return image_data
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def extract_data_from_text_xml(text_xml, tag):
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import re
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re_command = f"<{tag}>(.*?)</{tag}>"
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data = re.findall(re_command, text_xml, re.DOTALL)
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final_string = ""
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for idx, item in enumerate(data, start=1):
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output_extraction = f"{idx}:\n{item.strip()}\n"
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final_string = final_string + output_extraction
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return final_string
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