Enable 3D Manufacturing Perception with InternVL3 and Roboflow Inference

                      
                     
import os
import requests
from typing import Dict, Any

# Configuration
API_KEY = os.getenv('ROBOFLOW_API_KEY')
MODEL_URL = 'https://api.roboflow.com/inference'

# Function to perform inference using Roboflow's API
def perform_inference(image_path: str) -> Dict[str, Any]:
    headers = {'Authorization': f'Bearer {API_KEY}'}
    with open(image_path, 'rb') as image_file:
        response = requests.post(MODEL_URL, headers=headers, files={'file': image_file})
    try:
        response.raise_for_status()  # Raise an error for bad responses
        return response.json()  # Return the JSON response
    except requests.exceptions.HTTPError as http_err:
        return {'error': str(http_err), 'message': 'Failed to perform inference'}

# Main execution
if __name__ == '__main__':
    image_path = 'path/to/your/image.jpg'  # Specify the path to your image
    result = perform_inference(image_path)
    print(result)  # Print the inference result