scripts/make_request.py

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'
}

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

print(request)