app.py

import gradio as gr
from gemini_sdk import GeminiChat  # Replace with actual Gemini library if available

# Set your Gemini API key
gemini_api_key = "AIzaSyApFLfSfK9iodZ6pmxos_x-FLIleh0xaMM"

# Initialize the Gemini Chat instance
chatbot = GeminiChat(api_key=gemini_api_key)

# Function to handle chatbot interaction
def chatbot_response(user_input):
    try:
        # Send user input to the Gemini model and get the response
        response = chatbot.query(user_input)
        return response
    except Exception as e:
        return f"Error: {str(e)}"

# Create the Gradio interface
iface = gr.Interface(
    fn=chatbot_response, 
    inputs=gr.Textbox(label="Enter your question"), 
    outputs=gr.Textbox(label="Chatbot Response"),
    title="Real Estate Chatbot",
    description="Ask the chatbot about real estate listings, house details, or anything related to real estate."
)

# Launch the interface
iface.launch()