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| import requests | |
| import time | |
| import pandas as pd | |
| import os | |
| ########################## | |
| SECRET = os.environ["api_secret"] | |
| headers = {"Authorization": "Bearer " + SECRET} | |
| API_URL = "https://api-inference.huggingface.co/models/cccmatthew/model_test" | |
| ########################## | |
| def send_request_with_retry(url, headers, json_data, retries=3, backoff_factor=1): | |
| """Send request with retries on timeouts and HTTP 503 errors.""" | |
| for attempt in range(retries): | |
| start_time = time.time() | |
| try: | |
| response = requests.post(url, headers=headers, json=json_data) | |
| response.raise_for_status() | |
| response_time = time.time() - start_time | |
| return response, response_time | |
| except requests.exceptions.HTTPError as e: | |
| if response.status_code == 503: | |
| print('Server is unavailable, retrying...') | |
| else: | |
| raise | |
| except (requests.exceptions.ConnectionError, requests.exceptions.Timeout) as e: | |
| print(f"Network issue ({str(e)}), retrying...") | |
| time.sleep(backoff_factor * (2 ** attempt)) | |
| print("Failed to process request after several attempts.") | |
| return None, None | |
| sentence = [ | |
| "RAFs are plotted for a selection of neurons in the dorsal zone (DZ) of auditory cortex in Figure 1.", | |
| "Light dissolved inorganic carbon (DIC) resulting from the oxidation of hydrocarbons.", | |
| "Images were acquired using a GE 3.0T MRI scanner with an upgrade for echo-planar imaging (EPI)." | |
| ] | |
| API_URL = API_URL | |
| headers = headers | |
| response, response_time = send_request_with_retry(API_URL, headers, {"inputs": sentence}) | |
| if response is not None: | |
| results = response.json() | |
| print(results) | |
| response.close() | |
| else: | |
| print("Unable to classify the sentence due to server issues.") |