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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/surrey-gp30" | |
########################## | |
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.") |