Describe the bug
With the provided QA creation script in the README, I tried to replace OpenAI model with Gemini. After modifying which model to use and my file paths, I ran the code and got this error: TypeError: ChatSession.send_message_async() got an unexpected keyword argument 'temperature'.

To Reproduce
Steps to reproduce the behavior:

1. Import Gemini from LlamaIndex llm
2. Instantiate a new LLM object for Gemini
3. Use that object for llm arguments in the code

Expected behavior
Normal execution.

Full Error log
This happens in \llama_index\llms\gemini\base.py:233 in achat

Code that bug is happened

import pandas as pd
from llama_index.llms.gemini import Gemini

from autorag.data.qa.filter.dontknow import dontknow_filter_rule_based
from autorag.data.qa.generation_gt.llama_index_gen_gt import (
    make_basic_gen_gt,
    make_concise_gen_gt,
)
from autorag.data.qa.schema import Raw, Corpus
from autorag.data.qa.query.llama_gen_query import factoid_query_gen
from autorag.data.qa.sample import random_single_hop

from dotenv import load_dotenv
load_dotenv()

llm = Gemini(model="models/gemini-1.5-flash")
raw_df = pd.read_parquet("data/raw.parquet")
raw_instance = Raw(raw_df)

corpus_df = pd.read_parquet("data/corpus-semantic.parquet")
corpus_instance = Corpus(corpus_df, raw_instance)

initial_qa = (
    corpus_instance.sample(random_single_hop, n=3)
    .map(
        lambda df: df.reset_index(drop=True),
    )
    .make_retrieval_gt_contents()
    .batch_apply(
        factoid_query_gen,  # query generation
        llm=llm,
    )
    .batch_apply(
        make_basic_gen_gt,  # answer generation (basic)
        llm=llm,
    )
    .batch_apply(
        make_concise_gen_gt,  # answer generation (concise)
        llm=llm,
    )
    .filter(
        dontknow_filter_rule_based,  # filter don't know
        lang="vi",
    )
)

initial_qa.to_parquet('data/qa.parquet', 'data/corpus.parquet')

Desktop (please complete the following information):

• OS: Windows
• Python version 3.12