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peacock-data-public-datasets-idc-wet-data

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peacock-data-public-datasets-idc-wet-data
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import google.generativeai as genai
from vertexai.preview.generative_models import (
    HarmCategory, 
    HarmBlockThreshold )
from google.cloud.aiplatform_v1beta1.types.content import SafetySetting

GOOGLE_API_KEY="AIzaSyBiWhI-TOWmlahl5puqDAsAvFu0N1_R1HQ"

genai.configure(api_key=GOOGLE_API_KEY)
gemini_model = genai.GenerativeModel('gemini-pro')


# prompt = "The task is to filter out a set of documents. The documents contains a lot of toxic content all in hindi language. I want to filter them based on the words present in the document. Please list all the toxic and highly sensitive words in hindi language that will help filter this content."
# prompt = 'Generate a list of toxic and banned words in hindi that can be used to filter common crawl data.'
prompt="Give the list of toxic words in hindi"
response = gemini_model.generate_content(prompt, 
    safety_settings = [
        SafetySetting(
            category=HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT,
            threshold=HarmBlockThreshold.BLOCK_NONE,
        ),
        SafetySetting(
            category=HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT,
            threshold=HarmBlockThreshold.BLOCK_NONE,
        ),
        SafetySetting(
            category=HarmCategory.HARM_CATEGORY_HATE_SPEECH,
            threshold=HarmBlockThreshold.BLOCK_NONE,
        ),
        SafetySetting(
            category=HarmCategory.HARM_CATEGORY_HARASSMENT,
            threshold=HarmBlockThreshold.BLOCK_NONE,
        ),
 ])

print(response)