app.py

import gradio as gr
import google.generativeai as genai
from dotenv import load_dotenv
import os

load_dotenv()
# print(os.getenv("GEMINI_API"))

genai.configure(api_key=os.getenv("GEMINI_API"))
# model = genai.GenerativeModel("gemini-2.5-flash-preview-04-17")
model = genai.GenerativeModel("gemini-2.0-flash")

conversation_history = []

def chate(message, history):
    conversation_history.append({"role": "user", "parts": [message]})
    try:
        response = model.generate_content(conversation_history)
        response = model.generate_content(conversation_history)
        conversation_history.append({"role": "model", "parts": [response.text]})
        return response.text
    except Exception as e:
        return "Error: " + str(e)

demo = gr.ChatInterface(
    fn=chate,
    title="VIVORD AI",
    description="Ask anything you want!",
    examples=["Hello", "What is Python?", "What is the weather in Phnom Penh?"],
    theme="ocean",
    type="messages",
    )
demo.launch(share=True)