54 lines
1.2 KiB
Python
54 lines
1.2 KiB
Python
import base64
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from openai import OpenAI
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import time
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client = OpenAI(
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base_url="http://0.0.0.0:4001",
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api_key="sk-1234"
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)
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# Function to encode the image
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def encode_image(image_path):
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with open(image_path, "rb") as image_file:
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return base64.b64encode(image_file.read()).decode("utf-8")
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# Path to your image
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image_path = "litellm/proxy/logo.jpg"
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# Getting the Base64 string
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base64_image = encode_image(image_path)
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response = client.responses.create(
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model="bedrock/us.anthropic.claude-3-5-sonnet-20241022-v2:0",
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input=[
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{
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"role": "user",
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"content": [
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{ "type": "input_text", "text": "what color is the image"},
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{
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"type": "input_image",
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"image_url": f"data:image/jpeg;base64,{base64_image}",
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},
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],
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}
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],
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)
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print(response.output_text)
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print("response1 id===", response.id)
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print("sleeping for 20 seconds...")
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time.sleep(20)
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print("making follow up request for existing id")
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response2 = client.responses.create(
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model="bedrock/us.anthropic.claude-3-5-sonnet-20241022-v2:0",
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previous_response_id=response.id,
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input="ok, and what objects are in the image?"
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)
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print(response2.output_text)
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