import base64
import boto3
import json

# Initialize the Amazon Bedrock runtime client
client = self.client or boto3.client(service_name="bedrock-runtime", region_name="us-east-1")

# Encode the image using base64
with open("path/to/you/image", "rb") as image_file: 
    base64_image_data = base64.b64encode(image_file.read()).decode("utf8")

# Prepare the invocation request with the prompt and the encoded image
prompt = "What can you see in this image?"

request_body = {
    "anthropic_version": "bedrock-2023-05-31",
    "max_tokens": 2048,
    "messages": [
        {
            "role": "user",
            "content": [{"type": "text", "text": prompt,},
                {
                    "type": "image",
                    "source": {
                        "type": "base64",
                        "media_type": "image/png", # Use the file type of your image
                        "data": base64_image_data,
                    }
                }
            ]
        }
    ]
}

# Invoke the model
response = client.invoke_model(modelId=model_id, body=json.dumps(request_body))

# Process and print the response
result = json.loads(response.get("body").read())
input_tokens = result["usage"]["input_tokens"]
output_tokens = result["usage"]["output_tokens"]
output_list = result.get("content", [])

print("Invocation details:")
print(f"- The input length is {input_tokens} tokens.")
print(f"- The output length is {output_tokens} tokens.")

print(f"- The model returned {len(output_list)} response(s):")
for output in output_list:
    print(f"Response: output["text"]")