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# import gradio as gr
# from translate import translate_text
# from image_generator import generate_image
# def chatbot(input_text, src_lang="auto"):
# # Translate input to English
# translated_text = translate_text(input_text, src_lang, "en")
# # Generate image based on translated text
# image_path = generate_image(f"A scene depicting: {translated_text}")
# return translated_text, image_path
# interface = gr.Interface(
# fn=chatbot,
# inputs=[
# gr.Textbox(label="Input Text"),
# gr.Dropdown(choices=["auto", "es", "fr", "de"], label="Source Language")
# ],
# outputs=[
# gr.Textbox(label="Translated Text"),
# gr.Image(label="Generated Image")
# ],
# title="English Language Learning Chatbot"
# )
# if __name__ == "__main__":
# interface.launch()
import gradio as gr
from translate import translate_text
from image_generator import generate_image
def chatbot(input_text, src_lang="auto"):
"""Process user input, translate it, and generate an image."""
# Translate input to English
translated_text = translate_text(input_text, src_lang, "en")
# Generate an image based on the translated text
image_path = generate_image(f"A scene depicting: {translated_text}")
return translated_text, image_path
# Gradio Interface
interface = gr.Interface(
fn=chatbot,
inputs=[
gr.Textbox(label="Enter text in any language"),
gr.Textbox(label="Source Language (optional, e.g., 'es' for Spanish)", value="auto"),
],
outputs=[
gr.Textbox(label="Translated Text"),
gr.Image(label="Generated Image"),
],
title="LinguaVision - Multilingual Chatbot with Image Generation",
description="Enter text in any language to translate it into English and generate an image based on the text.",
)
if __name__ == "__main__":
interface.launch(share=True)
# import gradio as gr
# from translate import translate_text
# from image_generator import generate_image
# def chatbot(input_text, src_lang="auto"):
# """Process user input, translate it, and generate an image."""
# # Translate input to English
# translated_text = translate_text(input_text, src_lang, "en")
# # Generate an image based on the translated text
# image_path = generate_image(f"A scene depicting: {translated_text}")
# return translated_text, image_path
# # Gradio Interface
# interface = gr.Interface(
# fn=chatbot,
# inputs=[
# gr.Textbox(label="Enter text in any language"),
# gr.Textbox(label="Source Language (optional, e.g., 'es' for Spanish)", value="auto"),
# ],
# outputs=[
# gr.Textbox(label="Translated Text"),
# gr.Image(label="Generated Image"),
# ],
# title="LinguaVision - Multilingual Chatbot with Image Generation",
# description="Enter text in any language to translate it into English and generate an image based on the text.\n NOTE: This tool takes approximately 12 minutes to execute.",
# )
# if name == "main":
# interface.launch(share=True) |