Spaces:
Runtime error
Runtime error
| import json | |
| import jsonschema | |
| import requests | |
| import streamlit as st | |
| def load_schema(): | |
| """Load the GEM schema""" | |
| with open("schema.json", "r", encoding="utf8") as file: | |
| schema = json.load(file) | |
| return schema | |
| def validate_json(json_data): | |
| execute_api_schema = load_schema() | |
| try: | |
| jsonschema.validate(instance=json_data, schema=execute_api_schema) | |
| except jsonschema.exceptions.ValidationError as err: | |
| err = "❌ Submission does not match GEM schema. Please fix the submission file 🙈" | |
| return False, err | |
| message = "✅ Submission matches GEM schema!" | |
| return True, message | |
| def get_auth_headers(token: str, prefix: str = "autonlp"): | |
| return {"Authorization": f"{prefix} {token}"} | |
| def http_post( | |
| path: str, | |
| token: str, | |
| payload=None, | |
| domain: str = None, | |
| ) -> requests.Response: | |
| """HTTP POST request to the AutoNLP API, raises UnreachableAPIError if the API cannot be reached""" | |
| try: | |
| response = requests.post( | |
| url=domain + path, json=payload, headers=get_auth_headers(token=token), allow_redirects=True | |
| ) | |
| except requests.exceptions.ConnectionError: | |
| print("❌ Failed to reach AutoNLP API, check your internet connection") | |
| response.raise_for_status() | |
| return response | |