app.py

import gradio as gr
import google.generativeai as genai
import os

# Configure the API key for Google Generative AI
GOOGLE_API_KEY = "AIzaSyApVlnGcD6ZW0Enu61LLKcpYPghMmDfMN0"
genai.configure(api_key=GOOGLE_API_KEY)

# Model configuration
generation_config = {
    "temperature": 1,
    "top_p": 0.95,
    "top_k": 64,
    "max_output_tokens": 8192,
    "response_mime_type": "text/plain",
}

# Initialize the model
model = genai.GenerativeModel(
    model_name="gemini-1.5-flash",
    generation_config=generation_config
)

# Define a function to process the input and generate a response
def generate_response(user_input):
    chat_session = model.start_chat(
        history=[
            {
                "role": "user",
                "parts": [user_input],
            }
        ]
    )
    
    response = chat_session.send_message(user_input)
    return response.text

# Gradio Interface
iface = gr.Interface(
    fn=generate_response,
    inputs="text",
    outputs="text",
    title="Recipe Generator",
    description="Ask for recipes or any other text-based generation using Google's Gemini AI",
    theme="default",
)

# Launch the Gradio app
if __name__ == "__main__":
    iface.launch()