python tkinter chatbot google API Gemini

python tkinter chatbot google API Gemini chatbot.py

 
import tkinter as tk
from tkinter import scrolledtext, Entry, Button
import google.generativeai as genai

class SimpleChatbot:
    def __init__(self, root):
        self.root = root
        self.root.geometry("700x480") #Initial size and position
        self.root.title("Generative AI Chatbot")

        # Configure the Generative AI API with your API key
        genai.configure(api_key='AIzaSyA8ZbJrTvnMnnDOlN3HDT3cnwsZ906321654654WhQY')  # Replace with your actual API key

        # Create a model instance (adjust parameters as per documentation)
        self.model = genai.GenerativeModel(model_name="gemini-2.0-flash")  # Example model name

        # Create a scrolled text area for displaying the conversation
        self.conversation_area = scrolledtext.ScrolledText(root, wrap=tk.WORD, width=90, height=30)
        self.conversation_area.grid(column=0, row=0, padx=10, pady=10, columnspan=2)
        self.conversation_area.insert(tk.INSERT, "Chatbot: Hello! How can I help you today?\n")

        # Create an entry widget for the user to type their message
        self.user_input = Entry(root, width=60)
        self.user_input.grid(column=0, row=1, padx=10, pady=10)

        # Create a button to send the message
        self.send_button = Button(root, text="Send", command=self.send_message)
        self.send_button.grid(column=1, row=1, padx=10, pady=10)

    def send_message(self):
        user_message = self.user_input.get()
        self.conversation_area.insert(tk.INSERT, f"You: {user_message}\n")
        self.user_input.delete(0, tk.END)

        # Call the Generative AI API to get a response
        response = self.model.generate_content(user_message)  # Hypothetical method
        bot_response = f"Chatbot: {response.text}\n"
        self.conversation_area.insert(tk.INSERT, bot_response)

if __name__ == "__main__":
    root = tk.Tk()
    chatbot = SimpleChatbot(root)
    root.mainloop()