message_template.py

from dotenv import load_dotenv
from langchain.chains.summarize.map_reduce_prompt import prompt_template
from langchain_openai import ChatOpenAI
from langchain_google_genai import ChatGoogleGenerativeAI
from langchain_core.messages import HumanMessage, SystemMessage
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate

load_dotenv() # Load environment variables from .env file

#model_openai = ChatOpenAI(model="gpt-4o", temperature=0.1) # Initialize the ChatOpenAI model)
model_gemini = ChatGoogleGenerativeAI(model='gemini-2.5-flash', temperature=0)

system_prompt = "Translate the following text to {language}"
prompt_template = ChatPromptTemplate.from_messages(
    [
        ("system", system_prompt),
        ("user", "{text}")
    ]
)

parser = StrOutputParser()

chain = prompt_template | model_gemini | parser # prompt_template al -> model_gemini ver, çıktıyı al -> parser'a ver -> parser'ın çıktısını al

if __name__ == "__main__":

    print("*" * 50)
    print("\nGemini Response:")
    print(chain.invoke({"language" : "Turkish", "text" : "What is your name?"}) , "\n")