Spaces:
Runtime error
Runtime error
File size: 1,812 Bytes
dcca006 d94c8e9 dcca006 7b875b3 dcca006 7b875b3 dcca006 7b875b3 dcca006 7b875b3 dcca006 7b875b3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
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.") |