Read every article from every angle: sentiment, impact, topics

import os
import requests

resp = requests.post(
    "https://api.spinf.com/v1/score",
    headers={"Authorization": f"Bearer {os.environ['SPINF_API_KEY']}"},
    json={
      "model": "spinf-12b",
      "messages": [
        {
          "role": "user",
          "content": "Northwind Motors shares fell 8% on Tuesday after the carmaker cut its full-year delivery target, citing a shortage of battery cells at its Nevada plant. Its cell supplier, Voltra, said it expects to restore full output by the end of the quarter."
        }
      ],
      "scoring": {
        "queries": [
          {
            "id": "sentiment",
            "template": "\n\nFor {company}, this news is (positive, neutral, or negative):{?}",
            "options": [
              " positive",
              " neutral",
              " negative"
            ],
            "combinations": [
              {
                "company": "Northwind Motors"
              },
              {
                "company": "Voltra"
              }
            ]
          },
          {
            "id": "supply_problem",
            "template": "\n\nDoes the article report a production or supply problem?\nAnswer:{?}",
            "options": [
              " yes",
              " no"
            ]
          },
          {
            "id": "guidance_change",
            "template": "\n\nDoes the article report a change in guidance or targets?\nAnswer:{?}",
            "options": [
              " yes",
              " no"
            ]
          }
        ]
      }
    },
)
for query in resp.json()["results"][0]["queries"]:
    for combo in query["combinations"]:
        print(query["id"], combo["values"], [(o["text"], o["p"], o["floor_p"]) for o in combo["options"]])