import gradio as gr
from transformers import pipeline, set_seed

# Define available models
AVAILABLE_MODELS = {
    "GPT-2 (small, fast)": "gpt2",
    "Falcon (TII UAE)": "tiiuae/falcon-7b-instruct",
    "Mistral (OpenAccess)": "mistralai/Mistral-7B-v0.1"
}

set_seed(42)

# Cache models
text_model_cache = {}
image_generator = pipeline("text-to-image", model="CompVis/stable-diffusion-v1-4")

# Session memory
chat_memory = {}

def load_text_model(model_name):
    if model_name not in text_model_cache:
        text_model_cache[model_name] = pipeline("text-generation", model=AVAILABLE_MODELS[model_name])
    return text_model_cache[model_name]

def codette_terminal(prompt, model_name, generate_image, session_id):
    if session_id not in chat_memory:
        chat_memory[session_id] = []

    if prompt.lower() in ["exit", "quit"]:
        chat_memory[session_id] = []
        return "🧠 Codette signing off... Session reset.", None

    # Text generation
    generator = load_text_model(model_name)
    response = generator(prompt, max_length=100, num_return_sequences=1, do_sample=True)[0]['generated_text'].strip()

    chat_memory[session_id].append(f"🖋️ You > {prompt}")
    chat_memory[session_id].append(f"🧠 Codette > {response}")
    chat_log = "\n".join(chat_memory[session_id][-10:])

    # Optional image generation
    img = None
    if generate_image:
        img = image_generator(prompt)[0]['image']

    return chat_log, img

# Build Gradio UI
with gr.Blocks(title="Codette Terminal: Text + Image AI") as demo:
    gr.Markdown("## 🧬 Codette Terminal (Text + Image, Hugging Face Edition)")
    gr.Markdown("Choose your model, enter a prompt. Enable image generation if desired. Type `'exit'` to reset.")

    session_id = gr.Textbox(value="session_default", visible=False)
    model_dropdown = gr.Dropdown(choices=list(AVAILABLE_MODELS.keys()), value="GPT-2 (small, fast)", label="Choose Language Model")
    generate_image_toggle = gr.Checkbox(label="Also generate image?", value=False)
    user_input = gr.Textbox(label="Your Prompt", placeholder="e.g. a castle on Mars, explained by an AI philosopher", lines=1)
    output_text = gr.Textbox(label="Terminal Output", lines=15, interactive=False)
    output_image = gr.Image(label="AI-Generated Image")

    user_input.submit(
        fn=codette_terminal,
        inputs=[user_input, model_dropdown, generate_image_toggle, session_id],
        outputs=[output_text, output_image]
    )

# Launch on Spaces
if __name__ == "__main__":
    demo.launch()