class_docstr: Integration with the Google generative AI Python Library
class_docstr_tok: ["Integration","with","the","Google","generative","AI","Python","Library"]
docstr: connects with google generative AI api to predict the answer for the particular question
docstr_tok: ["connects","with","google","generative","AI","api","to","predict","the","answer","for","the","particular","question"]
code: def predict_answer(self, text):
      """
      connects with google generative AI api to predict the answer for the particular question
  
      """
  
      completion = self.connection.generate_content(text)
  
      return completion.text
  
file_path: mindsdb/mindsdb/integrations/handlers/google_gemini_handler/google_gemini_handler.py
imports: import os
  from typing import Dict, Optional
  import google.generativeai
  import pandas
  from mindsdb.integrations.libs.base import BaseMLEngine
  from mindsdb.utilities import log
  from mindsdb.utilities.config import Config
label_desc: Use image node_id 5 for calling the GoogleGeminiHandler obj's underlying member method code with example usage: obj.predict_answer(text) and returns: completion