class_docstr: Integration with the Google generative AI Python Library
class_docstr_tok: ["Integration","with","the","Google","generative","AI","Python","Library"]
code: def predict(
      self,
      df: Optional[pd.DataFrame] = None,
      args: Optional[Dict] = None,
  ) -> pd.DataFrame:
      args = self.model_storage.json_get("args")
      api_key = args["using"]["api_key"]
      genai.configure(api_key=api_key)
  
      input_column = args["using"]["column"]
      if input_column not in df.columns:
          raise RuntimeError(
              f'Column "{input_column}" not found in input data'
          )
  
      self.connection = genai.GenerativeModel(args["using"]["model"])
      result_df = pd.DataFrame()
      result_df["predictions"] = df[input_column].apply(
          self.predict_answer
      )
      result_df = result_df.rename(
          columns={"predictions": args["target"]}
      )
      return result_df
  
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 3 for calling the GoogleGeminiHandler obj's underlying member method code with example usage: obj.predict(df, args) and returns: result_df