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# Copyright 2021-present, the Recognai S.L. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import sys
import time
import argilla as rg
import pandas as pd
import requests
from argilla.labeling.text_classification import Rule, add_rules
from datasets import load_dataset
class LoadDatasets:
def __init__(self, api_key, workspace="team"):
rg.init(api_key=api_key, workspace=workspace)
@staticmethod
def load_somos():
print("Loading somos dataset")
# Leer el dataset del Hub
dataset = load_dataset("somosnlp/somos-alpaca-es", split="train")
dataset = dataset.remove_columns("metrics") # si falla se puede comentar esta linea
records = rg.DatasetForTextClassification.from_datasets(dataset)
# Log the dataset
rg.log(
records,
name="somos-alpaca-es",
tags={"description": "SomosNLP Hackathon dataset"},
)
settings = rg.TextClassificationSettings(
label_schema=["BAD INSTRUCTION", "BAD INPUT", "BAD OUTPUT", "INAPPROPRIATE", "BIASED", "ALL GOOD"]
)
rg.configure_dataset(name="somos-alpaca-es", settings=settings, workspace="team")
if __name__ == "__main__":
API_KEY = sys.argv[1]
LOAD_DATASETS = sys.argv[2]
if LOAD_DATASETS.lower() == "none":
print("No datasets being loaded")
else:
while True:
try:
response = requests.get("http://0.0.0.0:6900/")
if response.status_code == 200:
ld = LoadDatasets(API_KEY)
ld.load_somos()
break
except requests.exceptions.ConnectionError:
pass
except Exception as e:
print(e)
time.sleep(10)
pass
time.sleep(5)
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