import streamlit as st
import pandas as pd

# Data for artistic prompts
data = {
    "Category": [
        "Render Quality", "Render Quality", "Render Quality", "Render Quality", "Render Quality",
        "Didn't Match Prompt", "Didn't Match Prompt", "Didn't Match Prompt", "Didn't Match Prompt", "Didn't Match Prompt"
    ],
    "Prompt": [
        "1. Hyper-realistic Impressionist painting of a majestic lighthouse on a rocky coast, with individual skin pores visible on any human figures. Use bold brushstrokes and a vibrant color palette to capture the interplay of light and shadow as the lighthouse beam cuts through a stormy night sky.",
        "2. Macro photograph of a dewdrop on a leaf, showing surface tension, incorporated into a Cubist still life featuring a pair of vintage eyeglasses. Focus on the intricate details of the frames, lenses, and water droplet, using a warm color scheme to evoke a sense of nostalgia and wisdom.",
        "3. Photorealistic render of a futuristic cityscape at sunset, blended with a Surrealist depiction of a rustic wooden stool in a sunlit artist's studio. Emphasize the texture of the wood and the interplay of light and shadow, using a mix of earthy tones and highlights against the backdrop of the futuristic skyline.",
        "4. Ultra-detailed close-up of a mechanical watch movement, viewed through an ornate window frame in a Minimalist scene. Contrast the intricate details of the window and watch with a dreamy, soft-focus landscape beyond.",
        "5. Lifelike 3D render of a classic car, showcasing reflections and materials, combined with a Baroque close-up study of interlaced fingers gripping the steering wheel. Use a monochromatic color scheme to emphasize the form and texture of the hands and car interior, with dramatic lighting to create depth and emotion.",
        "6. A serene koi pond under cherry blossoms with an Impressionist painting of a majestic lighthouse on a rocky coast in the background - check if all elements are present, including the bold brushstrokes and vibrant color palette capturing the interplay of light and shadow.",
        "7. Steampunk elephant in a Victorian parlor examining a Cubist still life featuring a pair of vintage eyeglasses - verify setting, subject, and the focus on intricate details of the frames and lenses, using a warm color scheme.",
        "8. Cyberpunk samurai wielding a laser katana in a Surrealist depiction of a rustic wooden stool in a sunlit artist's studio - ensure style and weapon match, while emphasizing the texture of the wood and the interplay of light and shadow.",
        "9. Art Nouveau poster of a mermaid playing a harp in a Minimalist scene viewed through an ornate window frame - confirm style and subject, contrasting the intricate details of the window with a dreamy, soft-focus landscape beyond.",
        "10. Surrealist landscape with melting clocks and a Baroque close-up study of interlaced fingers - check for Dalí-esque elements and the monochromatic color scheme emphasizing the form and texture of the hands."
    ]
}

# Convert data to DataFrame
df = pd.DataFrame(data)

# App layout setup
st.set_page_config(layout="wide")

# Sidebar setup
st.sidebar.title("Video Generation")
menu_options = ["Generate Video", "My Videos", "Settings", "Help"]
menu_selection = st.sidebar.radio("Menu", menu_options)

if menu_selection == "Generate Video":
    st.sidebar.text_input("Enter Prompt", key="prompt")
    st.sidebar.button("Save Preset")
    st.sidebar.selectbox("Choose Preset", ["Preset 1", "Preset 2", "Preset 3"], key="preset")
    if st.sidebar.button("Get More Credits"):
        st.write("Redirecting to credits purchase...")
elif menu_selection == "My Videos":
    st.sidebar.text("Videos in progress:")
    st.sidebar.progress(75)
    st.sidebar.text("Completed videos:")
    video_list = ["Video1", "Video2"]
    selected_video = st.sidebar.radio("Select Video", video_list)
elif menu_selection == "Settings":
    st.sidebar.checkbox("Enable Notifications")
    st.sidebar.checkbox("High Quality Rendering")
elif menu_selection == "Help":
    st.sidebar.write("For assistance, please visit our help center.")

# Main area setup
st.title("Video Generator Dashboard")
st.text_area("Prompt", "Enter your video description here...", key="video_prompt")
st.number_input("Set Duration (seconds)", min_value=10, max_value=300, key="duration", value=10)
st.button("Generate Video")

# Video display area with tools
st.video([])  # Placeholder for video player
st.button("Refresh")
st.button("Download")
st.button("❤️")
st.button("Close")

# Display artistic prompts as a DataFrame
st.write("Artistic Prompts Dataset")
st.dataframe(df)

# Right sidebar for video processing
with st.sidebar:
    st.write("Credits: 3,465")
    st.button("Get Credits")
    st.subheader("Video Status")
    video_processing = {"Video3": 91, "Video4": 75}
    for video, progress in video_processing.items():
        st.text(video)
        st.progress(progress)
    st.subheader("Completed Videos")
    st.button("Video1")
    st.button("Video2")
    if st.button("Fill out a short survey"):
        st.write("Redirecting to survey...")

# Footer with star rating
st.write("Rate this App")
st.slider("", 0, 5, 1)