Skip to main content

No project description provided

Project description

DsTomato

Librería para el consumo de un modelo entrenado es decir que se le realizo un Fine Tunning, el modelo es multimodal, por lo que procesa imagenes y texto. El modelo esta especializado en reconocer imagenes del tomate y dar diagnostico requerido.

dstomato = DsTomato(
    api_key='API_KEY',
    index_pinecone='index_pinecone',
    pinecone_api='api_secret_pinecone'
)

text = dstomato.send_message(
    prompt='Que logras observar en la imagen',
    url_image='https://upload.wikimedia.org/wikipedia/commons/2/29/Jon_Snow_and_Ghost.jpg'
)

print(text)

Project details


Release history Release notifications | RSS feed

This version

1.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ds_tomato-1.1.tar.gz (2.6 kB view details)

Uploaded Source

File details

Details for the file ds_tomato-1.1.tar.gz.

File metadata

  • Download URL: ds_tomato-1.1.tar.gz
  • Upload date:
  • Size: 2.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for ds_tomato-1.1.tar.gz
Algorithm Hash digest
SHA256 3722fb7fa0ec7c8097734770febda90cbc58dcdb75626db482f7b9d61a05ff1e
MD5 343160e08d4e2d87fa134544aa092546
BLAKE2b-256 61ba718b832c57a65138d22ee2adb75d53c73d2d8899a113a90436f1c4941620

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page