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import gradio as gr
import wikipedia
import openai
import os
# Define language options for translation
LANGUAGES = {
"Arabic": "ar",
"English": "en",
"Spanish": "es",
"French": "fr",
"German": "de",
"Italian": "it",
"Portuguese": "pt",
"Russian": "ru",
"Japanese": "ja",
"Chinese": "zh",
"Arabic": "ar",
"Hindi": "hi",
"Korean": "ko"
}
def extract_wikipedia_content(wiki_url, api_key, model_id, base_url, target_lang):
"""
Function to extract content from Wikipedia URL (placeholder for now)
"""
# Will implement the actual extraction and translation later
return f"Configuration saved. API Key: {api_key[:5]}..., Model: {model_id}, Target Language: {target_lang}"
# Create Gradio app
with gr.Blocks(theme=gr.themes.Monochrome()) as app:
gr.Markdown("# Wikipedia Translator")
with gr.Row():
# Sidebar for configuration
with gr.Column(scale=1):
gr.Markdown("### Configuration")
with gr.Group():
api_key = gr.Textbox(
label="OpenAI API Key",
placeholder="sk-...",
type="password",
)
model_id = gr.Textbox(
label="OpenAI Model ID",
placeholder="gpt-4.1-mini",
)
base_url = gr.Textbox(
label="OpenAI API Base URL (Optional)",
placeholder="https://api.openai.com/v1",
info="Leave default unless using a proxy"
)
target_language = gr.Dropdown(
choices=list(LANGUAGES.keys()),
value="Spanish",
label="Target Language",
)
gr.Markdown("### About")
gr.Markdown("""
This tool extracts content from Wikipedia articles and translates them into your selected language using OpenAI's language models.
1. Configure your API settings
2. Enter a Wikipedia URL
3. Click Extract to process the article
""")
# Main content area
with gr.Column(scale=2):
gr.Markdown("### Wikipedia Article")
wiki_url = gr.Textbox(
label="Wikipedia URL",
placeholder="https://en.wikipedia.org/wiki/Artificial_intelligence",
info="Enter the full URL of the Wikipedia article"
)
extract_button = gr.Button("Extract and Prepare for Translation", variant="primary")
output = gr.Textbox(label="Status")
# Results area (will expand in the future)
article_info = gr.Textbox(label="Article Information", visible=False)
article_content = gr.Textbox(label="Article Content", visible=False)
# Connect the extract button to the function
extract_button.click(
fn=extract_wikipedia_content,
inputs=[wiki_url, api_key, model_id, base_url, target_language],
outputs=[output]
)
# Launch the app
if __name__ == "__main__":
app.launch()
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