import streamlit as st
from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer, pipeline
from diffusers import StableDiffusionPipeline
import torch

@st.cache_resource
def load_models():
    # Translation model
    model_name = "alirezamsh/small100"
    tokenizer = M2M100Tokenizer.from_pretrained(model_name)
    model = M2M100ForConditionalGeneration.from_pretrained(model_name)

    # Creative text generation (GPT-2)
    text_generator = pipeline("text-generation", model="gpt2-medium")

    # Stable diffusion image generation (CPU-friendly)
    image_pipe = StableDiffusionPipeline.from_pretrained(
        "stabilityai/stable-diffusion-2-base", torch_dtype=torch.float32
    ).to("cpu")

    return tokenizer, model, text_generator, image_pipe

def translate_tamil_to_english(text, tokenizer, model):
    tokenizer.src_lang = "ta"
    inputs = tokenizer(text, return_tensors="pt", truncation=True)
    generated_tokens = model.generate(**inputs, forced_bos_token_id=tokenizer.get_lang_id("en"))
    return tokenizer.decode(generated_tokens[0], skip_special_tokens=True)

def generate_creative_text(prompt, generator):
    response = generator(f"Describe creatively: {prompt}", max_length=60, num_return_sequences=1)
    return response[0]["generated_text"]

def main():
    st.set_page_config(page_title="Tamil to English → Image & Text", layout="centered")
    st.title("🪔 தமிழ் உரையை படமாக மாற்றவும்")
    
    user_input = st.text_area("தமிழ் உரை உள்ளிடவும்:", height=150)
    if st.button("உருவாக்கவும்"):
        if not user_input.strip():
            st.warning("தயவுசெய்து ஒரு உரை உள்ளிடவும்.")
            return

        with st.spinner("மொழிபெயர்ப்பு நடக்கிறது..."):
            tokenizer, model, textgen, pipe = load_models()
            english_text = translate_tamil_to_english(user_input, tokenizer, model)
            st.success(f"Translated to English: {english_text}")

        with st.spinner("சிறந்த உரையை உருவாக்குகிறது..."):
            creative = generate_creative_text(english_text, textgen)
            st.info("✍️ Creative Text:")
            st.write(creative)

        with st.spinner("படம் உருவாக்கப்படுகிறது..."):
            image = pipe(english_text, num_inference_steps=25).images[0]
            st.image(image, caption="🎨 Generated Image", use_column_width=True)

if __name__ == "__main__":
    main()