import gradio as gr

def image_generation(category, model, prompt, unwanted, format, style):
    # Image generation logic here
    return "Image generated in PNG format."

def video_generation(model, image, prompt):
    # Video generation logic here
    return "Video generated."

def audio_generation(model, song_title, lyrics, genre):
    # Audio generation logic here
    return "Music generated."

def text_generation(model, question):
    # Text generation logic here
    return "Generated response."

def text_to_speech(model, language, voice, text):
    # Text to speech logic here
    return "Audio generated."

def deepfake(model, image, face):
    # Deepfake generation logic here
    return "Deepfake generated."

with gr.Blocks() as app:
    gr.Markdown("# Dropskale")
    
    with gr.Tab("Image Generation"):
        category = gr.Dropdown(["image generation"], label="Category")
        model = gr.Dropdown(["midjourney", "ideogram", "leonardo ai", "flux 1.1 pro ultra", "flux 1.1 dev"], label="Model")
        prompt = gr.Textbox(label="Prompt")
        unwanted = gr.Textbox(label="What you don't want to see")
        format = gr.Dropdown(["16:9", "9:16", "4:3", "1:1"], label="Format")
        style = gr.Textbox(label="Style")
        generate_btn = gr.Button("Generate Image")
        output = gr.Output()
        generate_btn.click(image_generation, inputs=[category, model, prompt, unwanted, format, style], outputs=output)

    with gr.Tab("Video Generation"):
        model = gr.Dropdown(["luma dream machine 1.6", "runway gen-3 turbo", "kling ai 1.5", "hailuo ai"], label="Model")
        image = gr.Image(label="Select Image")
        prompt = gr.Textbox(label="Prompt")
        generate_btn = gr.Button("Generate Video")
        output = gr.Output()
        generate_btn.click(video_generation, inputs=[model, image, prompt], outputs=output)

    with gr.Tab("Audio Generation"):
        model = gr.Dropdown(["udio 1.5", "suno 4.0"], label="Model")
        song_title = gr.Textbox(label="Song Title")
        lyrics = gr.Textbox(label="Lyrics")
        genre = gr.Textbox(label="Genre")
        generate_btn = gr.Button("Generate Music")
        output = gr.Output()
        generate_btn.click(audio_generation, inputs=[model, song_title, lyrics, genre], outputs=output)

    with gr.Tab("Text Generation"):
        model = gr.Dropdown(["chatgpt models", "claude 3.5 sonnet", "gemini pro 1.5", "mistral", "writesonic"], label="Model")
        question = gr.Textbox(label="Question")
        generate_btn = gr.Button("Generate Response")
        output = gr.Output()
        generate_btn.click(text_generation, inputs=[model, question], outputs=output)

    with gr.Tab("Text to Speech"):
        model = gr.Dropdown(["elevenlabs turbo 2.5", "dupdub", "open ai tts"], label="Model")
        language = gr.Dropdown(["English", "Spanish", "French"], label="Language")
        voice = gr.Dropdown(["Voice 1", "Voice 2"], label="Voice")
        text = gr.Textbox(label="Text")
        generate_btn = gr.Button("Generate Audio")
        output = gr.Output()
        generate_btn.click(text_to_speech, inputs=[model, language, voice, text], outputs=output)

    with gr.Tab("Deepfake"):
        model = gr.Dropdown(["plurkface", "deeplabface"], label="Model")
        image = gr.Image(label="Upload Image or Video")
        face = gr.Image(label="Upload Another Face")
        generate_btn = gr.Button("Generate Deepfake")
        output = gr.Output()
        generate_btn.click(deepfake, inputs=[model, image, face], outputs=output)

app.launch()