Handling PDF Data with Gemini

                {
                    "type": "image_url",
                    "image_url": {
                        "url": "gs://cloud-samples-data/generative-ai/image/myDocument.pdf"
                    }
                }

openai.BadRequestError: Error code: 400 - {'error': {'message': 'google error: Invalid or unsupported file uri: gs://cloud-samples-data/generative-ai/image/myDocument.pdf', 'type': 'INVALID_ARGUMENT', 'param': None, 'code': 400}, 'provider': 'google'}

b95e8595-5de2-4f4a-b796-c687ce83616e

from portkey_ai import Portkey
from dotenv import load_dotenv
import os

load_dotenv("/Users/abineshsivakumar/MightyBot/mightybot/python/agentcontroller/.env")

portkey = Portkey(
    api_key=os.getenv("PORTKEY_API_KEY"),
    base_url="https://api.portkey.ai/v1",
    config=os.getenv("PORTKEY_GOOGLE_CONFIG_ID"),
)

completion = portkey.chat.completions.create(
    messages=[
        {
            "role": "system",
            "content": "You are a helpful assistant"
        },
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "gs://cloud-samples-data/generative-ai/image/scones.jpg"
                    }
                },
                {
                    "type": "text",
                    "text": "What is the main idea of the document?"
                }
            ]
        }
    ],
    model='gemini-1.5-pro',
    max_tokens=8000
)
print(completion)

gs://cloud-samples-data/generative-ai/image/myDocument.pdf