import requests

request = requests.post(url=
                        'https://tangibleai-mathtext-fastapi.hf.space/sentiment-analysis',
                        json={"content": "I reject it"}).json()

print(request)

request = requests.post(url=
                        'https://tangibleai-mathtext-fastapi.hf.space/text2int',
                        json={"content": "seven thousand nine hundred fifty seven"}
                        ).json()

print(request)


# json = {
#     'message': {
#         '_vnd': {
#             'v1': {
#                 'author': {
#                     'id': 57787919091,
#                     'name': 'GT',
#                     'type': 'OWNER'
#                 },
#                 'card_uuid': None,
#                 'chat': {
#                     'assigned_to': {
#                         'id': 'jhk151kl-hj42-3752-3hjk-h4jk6hjkk2',
#                         'name': 'Greg Thompson',
#                         'type': 'OPERATOR'
#                     },
#                     'contact_uuid': 'j43hk26-2hjl-43jk-hnk2-k4ljl46j0ds09',
#                     'inserted_at': '2022-07-05T04:00:34.033522Z',
#                     'owner': '+57787919091',
#                     'permalink': 'https://app.turn.io/c/4kl209sd0-a7b8-2hj3-8563-3hu4a89b32',
#                     'state': 'OPEN',
#                     'state_reason': 'Re-opened by inbound message.',
#                     'unread_count': 19,
#                     'updated_at': '2023-01-10T02:37:28.487319Z',
#                     'uuid': '4kl209sd0-a7b8-2hj3-8563-3hu4a89b32'
#                 },
#                 'direction': 'inbound',
#                 'faq_uuid': None,
#                 'in_reply_to': None,
#                 'inserted_at': '2023-01-10T02:37:28.477940Z',
#                 'labels': [{
#                     'confidence': 0.506479332,
#                     'metadata': {
#                         'nlu': {
#                             'confidence': 0.506479332,
#                             'intent': 'question',
#                             'model_name': 'nlu-general-spacy-ngrams-20191014'
#                         }
#                     },
#                     'uuid': 'ha7890s2k-hjk2-2476-s8d9-fh9779a8a9ds',
#                     'value': 'Unclassified'
#                 }],
#                 'last_status': None,
#                 'last_status_timestamp': None,
#                 'on_fallback_channel': False,
#                 'rendered_content': None,
#                 'uuid': 's8df79zhws-h89s-hj23-7s8d-thb248d9bh2qn'
#             }
#         },
#         'from': 57787919091,
#         'id': 'hsjkthzZGehkzs09sijWA3',
#         'text': {'body': 'eight'},
#         'timestamp': 1673318248,
#         'type': 'text'
#     },
#     'type': 'message'
# }

json = b'{"message_data": {"message":{"_vnd":{"v1":{"author":{"id":57787919091,"name":"GT","type":"OWNER"},"card_uuid":null,"chat":{"assigned_to":{"id":"jhk151kl-hj42-3752-3hjk-h4jk6hjkk2","name":"Greg Thompson","type":"OPERATOR"},"contact_uuid":"j43hk26-2hjl-43jk-hnk2-k4ljl46j0ds09","inserted_at":"2022-07-05T04:00:34.033522Z","owner":"+57787919091","permalink":"https://app.turn.io/c/4kl209sd0-a7b8-2hj3-8563-3hu4a89b32","state":"OPEN","state_reason":"Re-opened by inbound message.","unread_count":14,"updated_at":"2023-01-10T02:37:28.487319Z","uuid":"4kl209sd0-a7b8-2hj3-8563-3hu4a89b32"},"direction":"inbound","faq_uuid":null,"in_reply_to":null,"inserted_at":"2023-01-10T02:37:28.477940Z","labels":[{"confidence":0.506479332,"metadata":{"nlu":{"confidence":0.506479332,"intent":"question","model_name":"nlu-general-spacy-ngrams-20191014"}},"uuid":"ha7890s2k-hjk2-2476-s8d9-fh9779a8a9ds","value":"Unclassified"}],"last_status":null,"last_status_timestamp":null,"on_fallback_channel":false,"rendered_content":null,"uuid":"s8df79zhws-h89s-hj23-7s8d-thb248d9bh2qn"}},"from":57787919091,"id":"hsjkthzZGehkzs09sijWA3","text":{"body":"eight"},"timestamp":1673318248,"type":"text"},"type":"message"}}\n'

request = requests.post(url=
                        'http://localhost:7860/nlu',
                        data=json
                        ).json()

print(request)