app.py

import gradio as gr
from gtts import gTTS
from PIL import Image
import requests
from io import BytesIO

# Manually add definitions
word_definitions = {
    "vibrant": "Full of energy, colorful",
    "dismissed": "Sent away or rejected",
    "depicting": "Showing or representing",
    "admired": "Regarded with respect.",
    "anxious": "worried or nervous.",
    "skeptics": "people who question or doubt.",
    "achievement": "success.",
    "thrilled": "excitement and happiness."
}

# Corresponding image URLs (example URLs, replace with actual GitHub links)
image_urls = {
    "vibrant": "https://github.com/MK316/Spring2024/raw/main/DLTESOL/project/flashcard.001.png",
    "dismissed": "https://github.com/MK316/Spring2024/raw/main/DLTESOL/project/flashcard.002.png",
    "depicting": "https://github.com/MK316/Spring2024/raw/main/DLTESOL/project/flashcard.003.png",
    "admired": "https://github.com/MK316/Spring2024/raw/main/DLTESOL/project/flashcard.004.png",
    "anxious": "https://github.com/MK316/Spring2024/raw/main/DLTESOL/project/flashcard.005.png",
    "skeptics": "https://github.com/MK316/Spring2024/raw/main/DLTESOL/project/flashcard.006.png",
    "achievement": "https://github.com/MK316/Spring2024/raw/main/DLTESOL/project/flashcard.007.png",
    "thrilled": "https://github.com/MK316/Spring2024/raw/main/DLTESOL/project/flashcard.008.png"
}

def generate_output(word):
    definition = word + "." + "It means" + word_definitions[word]
    
    # Get the image
    image_url = image_urls[word]
    response = requests.get(image_url)
    img = Image.open(BytesIO(response.content))
    img = img.resize((400, 250))  # Resize to half size
    
    # Generate the audio
    tts = gTTS(text=definition, lang='en', tld='co.uk', slow=False)
    audio_file = f"{word}.mp3"
    tts.save(audio_file)
    
    return img, audio_file

# Create the Gradio interface
iface = gr.Interface(
    fn=generate_output,
    inputs=gr.Dropdown(choices=list(word_definitions.keys()), label="Choose a word"),
    outputs=[gr.Image(type="pil"), gr.Audio(type="filepath", autoplay=True)],
    title="Word Definition with Image and Audio"
)

# Launch the interface
iface.launch(debug=True)