app.py

#Imports
import gradio as gr
from PIL import Image, UnidentifiedImageError
from gtts import gTTS
import requests
import re
import torch
from transformers import CLIPProcessor, CLIPModel, pipeline
from sentence_transformers import SentenceTransformer, util
from langdetect import detect
from io import BytesIO
import pandas as pd
import numpy as np
import soundfile as sf
import os
import subprocess

# Run the setup script to install espeak-ng
subprocess.run(['bash', 'setup.sh'], check=True)


# DataFrame with information about the Paintings as image url, Title, description , stroy 

data = {
    "image_url": [
        "https://s.turbifycdn.com/aah/gallerydirectart/vincent-van-gogh-estate-signed-limited-edition-giclee-starry-night-47.png",  # Starry Night
        "https://cdn.mos.cms.futurecdn.net/xRqbwS4odpkSQscn3jHECh-1200-80.jpg",      # Mona Lisa
        "https://upload.wikimedia.org/wikipedia/en/d/dd/The_Persistence_of_Memory.jpg",  # The Persistence of Memory
        "https://static.wixstatic.com/media/1071a8_cf1930f883e043e28d03d5a26a5960ef~mv2.jpg/v1/fill/w_568,h_718,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/1071a8_cf1930f883e043e28d03d5a26a5960ef~mv2.jpg",             # The Scream
        "https://images.artbrokerage.com/artthumb/magritte_158194_1/625x559/Rene_Magritte_Le_Fils_De_lhomme_the_Son_of_Man_1973.jpg",   # The Son of Man
        "https://www.artic.edu/iiif/2/25c31d8d-21a4-9ea1-1d73-6a2eca4dda7e/full/843,/0/default.jpg",                         # The Bedroom
        "https://images.desenio.com/zoom/17047_1.jpg",  # Girl with a Pearl Earring
        "https://www.hastingsindependentpress.co.uk/wp-content/uploads/2021/03/Whistlers-Mother.jpg",        # Whistler’s Mother
        "https://live.staticflickr.com/7173/6713746433_652c3d9d4e_c.jpg"            # The Basket of Apples
    ],
    "Title": [
        "Starry Night", "Mona Lisa", "The Persistence of Memory", "The Scream",
         "The Son of Man", "The Bedroom",
        "Girl with a Pearl Earring", "Whistler’s Mother", "The Basket of Apples"
    ],
    "Description": [
        # Starry Night
        ("Starry Night by Vincent van Gogh, painted in 1889, is one of the most famous works of art in the world. "
         "It depicts a swirling night sky filled with stars over a small town. The painting uses vibrant colors like blue and yellow, "
         "with exaggerated swirling patterns that create a dreamlike, almost chaotic feeling."),
        
        # Mona Lisa
        ("The Mona Lisa by Leonardo da Vinci, painted between 1503 and 1506, is a portrait of a woman with a subtle, enigmatic smile. "
         "The use of muted colors, including soft browns, greens, and black, emphasizes the serene and mysterious nature of the subject. "
         "It is one of the most studied and recognized works of art in history."),
        
        # The Persistence of Memory
        ("The Persistence of Memory, created by Salvador Dalí in 1931, features melting clocks draped over a surreal landscape. "
         "The painting, primarily in soft shades of brown, blue, and yellow, explores themes of time and memory. The abstract shapes "
         "and dreamlike atmosphere make it one of Dalí’s most famous surrealist works."),
        
        # The Scream
        ("The Scream by Edvard Munch, painted in 1893, is one of the most iconic images in modern art. "
         "It depicts a figure standing on a bridge, clutching their face in agony, as a blood-red sky swirls behind them. "
         "The painting uses bold reds, oranges, and blues to evoke a sense of horror and existential despair."),
        
        # The Son of Man
        ("The Son of Man by René Magritte, painted in 1964, is a surrealist self-portrait of the artist. "
         "It depicts a man in a bowler hat and suit, with his face obscured by a floating green apple. "
         "The background features a cloudy sky and a low wall, contributing to the dreamlike atmosphere. The painting is rich in symbolism, "
         "exploring themes of identity, concealment, and perception."),
        
        # The Bedroom
        ("The Bedroom by Vincent van Gogh, painted in 1888, depicts the artist’s simple bedroom in Arles, France. "
         "The painting uses bold, contrasting colors—yellow, red, and blue—to create a vibrant, almost childlike view of the space. "
         "Van Gogh painted this scene three times, each version representing his sense of comfort and sanctuary in his personal space."),
        
        # Girl with a Pearl Earring
        ("Girl with a Pearl Earring by Johannes Vermeer, painted in 1665, is often referred to as the 'Mona Lisa of the North.' "
         "The painting shows a young girl looking over her shoulder, wearing a large pearl earring. The use of light and shadow, "
         "combined with soft colors like blue and yellow, creates a lifelike, intimate portrait."),
        
        # Whistler’s Mother
        ("Whistler’s Mother by James McNeill Whistler, painted in 1871, is a portrait of the artist’s mother seated in profile. "
         "The painting uses muted tones of black, gray, and brown, reflecting the simplicity and dignity of the subject. "
         "It has become an icon of motherhood and restraint."),
        
        # The Basket of Apples
        ("The Basket of Apples by Paul Cézanne, painted around 1895, is a still life that challenges traditional perspectives. "
         "The painting shows a table with a basket of apples, a bottle, and bread. The use of soft colors, including browns, reds, and greens, "
         "along with the tilted angles, makes the objects seem to float, blurring the line between realism and abstraction.")
    ],
    "Story": [
        # Starry Night
        ("Vincent van Gogh painted 'Starry Night' while in a mental asylum in Saint-Rémy-de-Provence, France. "
         "It was created from memory and imagination, rather than a direct view from his window. The swirling patterns "
         "are thought to represent his emotional turbulence at the time. The painting is celebrated for its bold brushstrokes "
         "and imaginative use of color, representing the tension between beauty and chaos in the natural world."),
        
        # Mona Lisa
        ("'Mona Lisa' was painted by Leonardo da Vinci during the Renaissance period. The subject of the painting, "
         "believed to be Lisa Gherardini, is famed for her mysterious smile. The painting's sfumato technique, blending "
         "soft transitions between light and shadow, creates a lifelike, three-dimensional appearance. The Mona Lisa has inspired "
         "countless studies and interpretations over the centuries, and its theft in 1911 only increased its mystique."),
        
        # The Persistence of Memory
        ("Salvador Dalí's 'The Persistence of Memory' is a surrealist masterpiece that reflects the fluidity of time and memory. "
         "The melting clocks draped over the landscape suggest the passage of time becoming meaningless. The inspiration for the painting "
         "came from a melting camembert cheese. Dalí’s fascination with dream states and Freud's theories of the unconscious mind "
         "are evident in this strange, dreamlike scene."),
        
        # The Scream
        ("'The Scream' by Edvard Munch is a vivid expression of anxiety and existential dread. Munch was inspired to create the work "
         "after a walk during which he felt the 'great scream' of nature overwhelm him. The distorted figure and fiery red sky reflect "
         "Munch’s inner turmoil. The painting has become an iconic representation of human anxiety and has been widely referenced in pop culture."),
        
        # The Son of Man
        ("René Magritte’s 'The Son of Man' is a quintessential example of surrealism, blending reality and fantasy. "
         "The painting is a self-portrait with Magritte’s face hidden by a hovering green apple, symbolizing the tension between what is visible "
         "and what is hidden. The painting has been widely interpreted as a statement on identity and the nature of perception."),
        
        # The Bedroom
        ("'The Bedroom' by Vincent van Gogh is a reflection of the artist’s longing for stability and tranquility. "
         "The painting was created during one of the few peaceful periods in van Gogh’s turbulent life, and the vibrant colors convey "
         "his emotions at the time. The bold, contrasting colors and exaggerated perspective make the simple room appear almost alive."),
        
        # Girl with a Pearl Earring
        ("'Girl with a Pearl Earring' by Johannes Vermeer is one of the most enigmatic portraits in Western art. Known for its simplicity and elegance, "
         "the painting captures a fleeting moment of connection between the viewer and the subject. The girl’s mysterious gaze and the radiant light "
         "on her face have captivated audiences for centuries."),
        
        # Whistler’s Mother
        ("James McNeill Whistler’s 'Arrangement in Grey and Black No. 1,' more commonly known as 'Whistler’s Mother,' is a stark, dignified portrait "
         "of the artist’s mother. The painting is renowned for its minimalist composition and restrained use of color. Its iconic status grew after "
         "its display at the Musée d'Orsay in Paris, becoming a symbol of maternal devotion and calm."),
        
        # The Basket of Apples
        ("Paul Cézanne’s 'The Basket of Apples' is a revolutionary work that defies the traditional rules of perspective. By tilting objects at different angles, "
         "Cézanne challenges the viewer’s perception of space and reality. This still life is often cited as a precursor to Cubism, and its soft color palette "
         "creates a serene yet dynamic composition.")
    ]
}


df = pd.DataFrame(data)

# Load models

# Determine if a GPU (CUDA) is available
device = "cuda" if torch.cuda.is_available() else "cpu"

#  TTS model 
narrator = pipeline("text-to-speech", model="kakao-enterprise/vits-ljs", device=device)

# Load the CLIP model and processor
model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32").to(device)  
processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")

# Load the semantic similarity model for description search
semantic_model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2', device=device)  

# Load the translation models for Arabic to English and English to Arabic translations
translator_ar_to_en = pipeline("translation_ar_to_en", model="Helsinki-NLP/opus-mt-ar-en", device=0 if device == "cuda" else -1) 
translator_en_to_ar = pipeline("translation_en_to_arabic", model="Helsinki-NLP/opus-mt-en-ar", device=0 if device == "cuda" else -1)

# Function to Convert the text to Speech in Ensglish 
def text_to_speech_english(story_text):
    
    audio_output = narrator(story_text)

    # Extract audio and sampling rate from the output
    audio = np.squeeze(audio_output['audio']) 
    sampling_rate = audio_output['sampling_rate']

    # Save the output as a WAV file using soundfile
    sf.write("story_english.wav", audio, sampling_rate)

    return "story_english.wav"
    
# Function to Convert the text to Speech in Arabic using gTTS
def text_to_speech_arabic(story_text):
    tts = gTTS(text=story_text, lang='ar')
    tts.save("story_arabic.mp3")
    return "story_arabic.mp3"

# Function to translate the full story in chunks
def translate_story_to_arabic(story_text):
    sentences = re.split(r'(?<=[.!؟])\s+', story_text) # ٍSplit the story to list of sentences to translate
    translated_sentences = []
    
    for sentence in sentences: # For each sentence translate to arabic and append to the list 
      translation = translator_en_to_ar(sentence)[0]['translation_text']
      translated_sentences.append(translation)

    return ' '.join(translated_sentences) # Return the translated sentences list elements as one String

# Function to check if the image URL is valid and fetches the image
def fetch_image_from_url(url):
    try:
        response = requests.get(url, stream=True)
        response.raise_for_status()  # Check if the request was successful
        return Image.open(BytesIO(response.content))  # Return the image if valid
    except Exception as e:
        print(f"Error fetching image from {url}: {str(e)}")
        return None

# Process the result where result is shown base on selected language
def process_best_match(best_match, language):
    best_image_url = best_match["image_url"]
    best_story = best_match["Story"]

    # Translate to Arabic if the language is Arabic
    if language == "Arabic" or language == "ar":
        best_story_translated = translate_story_to_arabic(best_story)
        info_html = f"<div dir='rtl' style='font-size: 18px; color: white; font-family: Arial, sans-serif;'>{best_story_translated}</div>"
        audio_file = text_to_speech_arabic(best_story_translated)
        return best_image_url, info_html, audio_file

    # Otherwise, use English
    info_html = f"<div style='font-size: 18px; color: white;'>{best_story}</div>"
    audio_file = text_to_speech_english(best_story)  
    return best_image_url, info_html, audio_file

# Function to match the uploaded image with the DataFrame to retrive the image of painting from the Datafram and it story in text and audio

def compare_images(image, language):
    try:

        inputs = processor(images=image, return_tensors="pt")
        inputs = {k: v.to(device) for k, v in inputs.items()}
        image_features = model.get_image_features(**inputs).to(device)

        best_score = -2.0 
        best_match_idx = None  

        
        for idx, image_url in enumerate(df['image_url']):
            db_image = fetch_image_from_url(image_url)
            if db_image is None:
                continue

            
            db_inputs = processor(images=db_image, return_tensors="pt")
            db_inputs = {k: v.to(device) for k, v in db_inputs.items()}  
            db_image_features = model.get_image_features(**db_inputs).to(device)  

            
            similarity = torch.nn.functional.cosine_similarity(image_features, db_image_features).item()

            
            if similarity > best_score:
                best_score = similarity
                best_match_idx = idx

        
        if best_match_idx is None:
            return None, "Error: No valid image match found in the database.", None

       
        best_match = df.iloc[best_match_idx]
        return process_best_match(best_match, language)

    except UnidentifiedImageError:
        return None, "Error: The uploaded file is not a valid image.", None
    except Exception as e:
        return None, f"Error: {str(e)}", None

# Function to compare user input with descriptions in the DataFrame and return the best match Painting as image of painting with text and audio story of painting
def compare_description(input_text):
    try:
        language = detect(input_text) #detect the langauge of input 
        if language == 'ar':
            input_text = translator_ar_to_en(input_text)[0]['translation_text']

        input_embedding = semantic_model.encode(input_text, convert_to_tensor=True)
        df_embeddings = semantic_model.encode(df["Description"].tolist(), convert_to_tensor=True)

        similarities = util.pytorch_cos_sim(input_embedding, df_embeddings).squeeze()
        best_match_idx = torch.argmax(similarities).item()
        best_match = df.iloc[best_match_idx]

        return process_best_match(best_match, language)

    except Exception as e:
        return None, f"Error: {str(e)}", None

# Custom CSS for Styling the Gradio

custom_css = """
.gradio-container {
    background-image: url('https://images.squarespace-cdn.com/content/v1/587ee1eab3db2b428f68d221/1626734192415-LI75A3LVVFMJD5TVZ3HR/Gallery+2.jpg');
    background-size: cover;
    background-position: center;
    background-repeat: no-repeat;
    color: #333333;
    font-family: 'Arial', sans-serif;
}

h1, #title, #description {
    color: white !important;
}

#upload-text, #description-search-text {
    color: white !important;
}

label, .gr-label {
    color: #333333 !important;
}

button.primary {
    background-color: #6A5ACD;
    color: black;
    border-radius: 10px;
    padding: 10px;
    margin: 5px;
    font-size: 18px;
    border: none;
    transition: background-color 0.3s;
}

button.primary:hover {
    background-color: #836FFF;
}

#image_output, #search_image_output {
    border: 3px solid white;
    border-radius: 10px;
}

/* Specifically targeting the example buttons */
.gr-examples button {
    color: white !important;
    background-color: transparent !important; /* Make the background blend in with the overall theme */
    border: 1px solid white; /* Add a border if you want to highlight it */
}
"""

image_upload_examples = [
    ["https://pbs.twimg.com/media/DgAnD-FUcAAr3NT?format=jpg", "English"],
    ["https://pbs.twimg.com/media/DgAnD-FUcAAr3NT?format=jpg", "Arabic"]
]

# Sample Examples for the "Description Search" tab
description_search_examples = [
    ["A painting of a swirling night sky over a town.", "English"],
    ["امرأة بابتسامة غامضة.", "Arabic"]
]

# Gradio interface with two tabs: "Image Upload" and "Description Search"
# Image Upload  tab to get the Painting story by uploding an image 
# Description Search tab is by getting Painting stroy by descriping the painting

with gr.Blocks(css=custom_css) as demo:
    gr.Markdown("<h1 id='title'>Welcome to the Virtual Art Museum</h1>")
    gr.Markdown("<p id='description'>Explore the most famous artworks. Upload an image or enter a description to learn about the story behind each piece.</p>")

    with gr.Tab("Image Search"):
        gr.Markdown("<h2 id='upload-text'>Upload Art to Recognize and Hear the Story Behind It</h2>")

        image_input = gr.Image(type="pil", label="Upload an image of an art piece")
        language_selector = gr.Radio(choices=["English", "Arabic"], label="Select Language for Story Narration", value="English")
        recognize_button = gr.Button("Search")  

        image_output = gr.Image(label="Matched Art Piece", elem_id="image_output")
        description_output = gr.HTML(label="Art Piece Information")
        audio_output = gr.Audio(label="Narration of the Story")

        recognize_button.click(compare_images, inputs=[image_input, language_selector], outputs=[image_output, description_output, audio_output])

        gr.Examples(examples=image_upload_examples, inputs=[image_input, language_selector])
    with gr.Tab("Description Search"):
        gr.Markdown("<h2 id='description-search-text'>Description Search</h2>")

        description_input = gr.Textbox(label="Enter a description (in English or Arabic)")
        search_button = gr.Button("Search")   

        search_image_output = gr.Image(label="Matched Art Piece", elem_id="search_image_output")
        search_description_output = gr.HTML(label="Art Piece Information")
        search_audio_output = gr.Audio(label="Narration of the Story")

        search_button.click(compare_description, inputs=description_input, outputs=[search_image_output, search_description_output, search_audio_output])

        gr.Examples(examples=description_search_examples, inputs=description_input)

demo.launch()