lando22

import humingbird
import random

intents = {
  "greeting": ["Hi! Welcome to the ice cream shop.", "Welcome! What can i help you with?"],
  "goodbye": ["Goodbye!", "Nice chatting! Have a great day."],
  "menu": ["Here is our menu: https://www.randomicecream.co"],
  "prices": ["Our prices our affordable for all!", "We have super low prices! Pracitcally free!"],
  "start_order": ["Lets start the order here: https://www.fakepaymentlink.com"]
}

lando22

import humingbird

prediction = humingbird.Image.predict(
    image_path='ice-cream.jpg',
    labels=["strawberry ice cream", "vanilla ice cream", "chocolate ice cream"]  # add more if you'd like :)
)

print(prediction)

lando22

import humingbird
import random

intents = {
  "greeting": ["Hi! Welcome to the ice cream shop.", "Welcome! What can i help you with?"],
  "goodbye": ["Goodbye!", "Nice chatting! Have a great day."],
  "menu": ["Here is our menu: https://www.randomicecream.co"],
  "prices": ["Our prices our affordable for all!", "We have super low prices! Pracitcally free!"],
  "start_order": ["Lets start the order here: https://www.fakepaymentlink.com"]
}

lando22

{
  "greetings": ["Hi! Welcome to the ice cream shop.", "Welcome! What can i help you with?"],
  "goodbyes": ["Goodbye!", "Nice chatting! Have a great day."],
  "menu": ["Here is our menu: https://www.randomicecream.co"],
  "prices": ["Our prices our affordable for all!", "We have super low prices! Pracitcally free!"],
  "start_order": ["Lets start the order here: https://www.fakepaymentlink.com"]
}

lando22

import humingbird

intent_recognition = humingbird.Text.predict(
  text="I was wondering what you have on your menu? I love ice cream!",
  labels=["greeting", "goodbye", "menu", "prices", "start_order"]
)

print(intent_recognition)

lando22

{
  "generated_text": "I am building a Humingbird app for everyone at 12:00 am, but I do it for the people of the world ....",
  "warning": "WARNING: This output may contain sensitive or toxic text. Please use with caution."
}

lando22

{
  "prompt": "I am building a Humingbird app for everyone at 12:00 am, but I do it for the"
}

lando22

# import libraries
from flask import request, jsonify, Flask, abort
import transformers
from transformers import pipeline
import humingbird

# start flask app
app = Flask(__name__)

# download GPT-2/load the model

lando22

import transformers
from transformers import pipeline
import humingbird

# load the model
generator = pipeline('text-generation', model='gpt2')

# generate a sample
generation = (generator("I went for a walk today and saw a", max_length=60))[0]['generated_text']

lando22

import humingbird

content_filter = humingbird.Text.predict(
  text="our sample text for Humingbird! This is so easy.",
  labels=["toxic", "not toxic"]
)

print(content_filter)