import streamlit as st
from functions import generate_controlnet_image, generate_image, generate_video
from choices import text_to_image_models,controlnet_models,image_to_video_models

def text_to_image(input_text, selected_model):

    result = generate_image(selected_model,input_text)

    return result


def image_to_image(input_text,input_image, selected_model, selected_algorithm):


    return "path_to_image_to_image_result.jpg"


def image_to_video(input_text,input_image, selected_model1, selected_model2, selected_algorithm):
    
    
    return "path_to_image_to_video_result.jpg"


def main():
    st.title("Image Processing Options")

    
    processing_option = st.selectbox("Select Processing Option", ["Text to Image", "Image to Image", "Image to Video"])

    
    if processing_option == "Text to Image":
        input_text = st.text_area("Enter Text for Image")
        selected_model = st.selectbox("Select Model", text_to_image_models)
        if st.button("Generate Image"):
            result_image_path = text_to_image(input_text, selected_model)
            st.image(result_image_path, caption="Result Image", use_column_width=True)

    elif processing_option == "Image to Image" or processing_option == "Image to Video":
        input_text = st.text_area("Enter Text for Image")
        input_image = st.file_uploader("Upload Input Image", type=["jpg", "png"])
        selected_algorithm = st.selectbox("Select Algorithm", ["Algorithm 1", "Algorithm 2"])
        
        if processing_option == "Image to Image":
            selected_model = st.selectbox("Select Model", controlnet_models)
        elif processing_option == "Image to Video":
            selected_model = st.selectbox("Select Model", image_to_video_models)

        if st.button("Process"):
            if input_image is not None:
                if processing_option == "Image to Image":
                    result_image_path = image_to_image(input_text,input_image, selected_model, selected_algorithm)
                elif processing_option == "Image to Video":
                    result_image_path = image_to_video(input_text,input_image, selected_model, selected_algorithm)
                st.image(result_image_path, caption="Result Image", use_column_width=True)
            else:
                st.warning("Please upload an input image.")

if __name__ == "__main__":
    main()