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import gradio as gr
from gtts import gTTS
from PIL import Image
import requests
from io import BytesIO
# Manually add definitions
word_definitions = {
"quaint": "Having an old-fashioned or unusual quality or appearance that is usually attractive or appealing.",
"explore": "To travel over or through (a place) in order to learn more about it or to find something.",
"cheerful": "Feeling or showing happiness.",
"peddler": "Someone who sells things in small amounts often by traveling to different places.",
"curious": "Having a desire to learn or know more about something or someone.",
"enthusiasm": "Strong excitement about something; a strong feeling of active interest in something that you like or enjoy.",
"skeptical": "Having or expressing doubt about something.",
"whisper": "To speak very softly or quietly."
}
# Corresponding image URLs (example URLs, replace with actual GitHub links)
image_urls = {
"quaint": "https://raw.githubusercontent.com/PAMUS-JP30/flashcard/main/001.png",
"explore": "https://raw.githubusercontent.com/PAMUS-JP30/flashcard/main/002.png",
"cheerful": "https://raw.githubusercontent.com/PAMUS-JP30/flashcard/main/003.png",
"peddler": "https://raw.githubusercontent.com/PAMUS-JP30/flashcard/main/004.png",
"curious": "https://raw.githubusercontent.com/PAMUS-JP30/flashcard/main/005.png",
"enthusiasm": "https://raw.githubusercontent.com/PAMUS-JP30/flashcard/main/006.png",
"skeptical": "https://raw.githubusercontent.com/PAMUS-JP30/flashcard/main/007.png",
"whisper": "https://raw.githubusercontent.com/PAMUS-JP30/flashcard/main/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) |