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| import os | |
| import random | |
| import requests | |
| import time | |
| def test_api(): | |
| base_dir = os.path.expanduser("~/.cache/kagglehub/datasets/msambare/fer2013/versions/1/test") | |
| if not os.path.exists(base_dir): | |
| print(f"Error: {base_dir} not found.") | |
| return | |
| emotions = [d for d in os.listdir(base_dir) if os.path.isdir(os.path.join(base_dir, d))] | |
| if not emotions: | |
| print("No emotion folders found.") | |
| return | |
| emotion = random.choice(emotions) | |
| emotion_dir = os.path.join(base_dir, emotion) | |
| images = [f for f in os.listdir(emotion_dir) if f.endswith('.jpg') or f.endswith('.png')] | |
| if not images: | |
| print(f"No images found in {emotion_dir}") | |
| return | |
| image_name = random.choice(images) | |
| image_path = os.path.join(emotion_dir, image_name) | |
| print(f"Testing API with randomly selected image:") | |
| print(f"Path: {image_path}") | |
| print(f"True Label: {emotion.upper()}") | |
| url = "http://127.0.0.1:8005/api/predict" | |
| print(f"\nSending POST request to {url} ...") | |
| start_time = time.time() | |
| try: | |
| with open(image_path, "rb") as f: | |
| files = {"file": (image_name, f, "image/jpeg")} | |
| response = requests.post(url, files=files) | |
| elapsed = time.time() - start_time | |
| print(f"Response Time: {elapsed:.2f} seconds") | |
| print(f"Status Code: {response.status_code}") | |
| if response.status_code == 200: | |
| print("Response JSON:") | |
| print(response.json()) | |
| else: | |
| print(f"Error Response: {response.text}") | |
| except Exception as e: | |
| print(f"Failed to connect to API: {e}") | |
| if __name__ == "__main__": | |
| test_api() | |