app.py

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

# Configure the Gemini API
genai.configure(api_key=os.environ["GEMINI_API_KEY"])

# Define the model with a placeholder for system instruction
def generate_text(system_instruction, prompt):
    model = genai.GenerativeModel(
        model_name="gemini-1.5-flash",
        system_instruction=system_instruction,
        generation_config={
            "temperature": 1,
            "top_p": 0.95,
            "top_k": 64,
            "max_output_tokens": 8192,
            "response_mime_type": "text/plain",
        }
    )

    chat_session = model.start_chat(history=[])
    response = chat_session.send_message(prompt)
    
    return response.text

# Gradio interface
iface = gr.Interface(
    fn=generate_text,
    inputs=[
        gr.Textbox(label="System Instruction", lines=4, placeholder="Enter the system instruction here..."),
        gr.Textbox(label="Prompt", lines=4, placeholder="Enter the prompt here...")
    ],
    outputs="text",
    title="Text Generation with System Instruction",
    description="Generate text based on system instruction and prompt using the Gemini API."
)

if __name__ == "__main__":
    iface.launch()