app.py

import streamlit 
import langchain
from langchain.llms import GenerativeModel

# Replace with your Gemini API key
API_KEY = "AIzaSyBI2C5bFa0JsvCCyabbyANg8LUjcpqUiVM"

# Configure the model
llm = GenerativeModel("google-llm/text-davinci-003", api_key=API_KEY)

def generate_response(user_input):
  """
  Sends user input to Gemini and returns its response.

  Args:
      user_input: The user's message.

  Returns:
      The generated response from Gemini.
  """
  prompt ={user_input}
  response = llm.generate_content(prompt=prompt)
  return response.content[0]["text"]

while True:
  user_input = input("enter your text")
  if user_input.lower() == "quit":
    break
  response = generate_response(user_input)
  st.write( {response})