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| import os | |
| import requests | |
| import json | |
| from dotenv import load_dotenv | |
| load_dotenv() | |
| api_key = os.getenv("HF_TOKEN") | |
| model = "HuggingFaceM4/idefics2-8b" | |
| url = f"https://router.huggingface.co/models/{model}" | |
| headers = {"Authorization": f"Bearer {api_key}"} | |
| print(f"Testing URL: {url}") | |
| # Test A: Simple text inputs | |
| print("\n--- Test A: Simple Text ---") | |
| response = requests.post(url, headers=headers, json={"inputs": "Hello"}) | |
| print(f"Status: {response.status_code}") | |
| print("Response:", response.text) | |
| # Test B: Formatted inputs (Standard for some VLM APIs) | |
| # Often they accept { "inputs": "User: ...", "parameters": ... } | |
| print("\n--- Test B: Formatted Prompt ---") | |
| image_url = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/car.jpg?download=true" | |
| prompt = f"User:  Describe this image.<end_of_utterance>\nAssistant:" | |
| response = requests.post(url, headers=headers, json={"inputs": prompt, "parameters": {"max_new_tokens": 50}}) | |
| print(f"Status: {response.status_code}") | |
| print("Response:", response.text) | |