app.py

import gradio as gr
import requests
import json
import os

# ---------------------------
# Hugging Face API Settings
# ---------------------------
HF_API_URL = "https://huggingface.co/proxy/router.huggingface.co/v1/chat/completions"
HF_API_TOKEN = os.environ.get("HF_TOKEN")
if HF_API_TOKEN is None:
    raise ValueError("HF_TOKEN not found! Please add it as a secret in your Hugging Face Space.")

headers = {
    "Authorization": f"Bearer {HF_API_TOKEN}",
    "Content-Type": "application/json"
}

# ---------------------------
# Function to generate analogy with loading placeholder
# ---------------------------
def generate_analogy(topic, theme):
    # Immediately show loading text in the Textbox
    yield "⏳ Generating analogy...\nPlease wait."

    prompt = (
        f"Explain the topic '{topic}' using an analogy themed around '{theme}'. "
        f"Use clear, beginner-friendly language. Include line breaks and short paragraphs "
        f"so it can be read in a Textbox."
    )

    payload = {
        "model": "deepseek-ai/DeepSeek-V3.2:novita",
        "stream": False,
        "messages": [{"role": "user", "content": prompt}]
    }

    try:
        response = requests.post(HF_API_URL, headers=headers, data=json.dumps(payload))
        data = response.json()
        # Preserve line breaks for Textbox
        text = data["choices"][0]["message"]["content"].replace("\r\n", "\n")
        yield text
    except Exception:
        yield "Error: Could not generate analogy."

# ---------------------------
# Gradio UI
# ---------------------------
themes = ["Love Island", "One Piece", "Spiderman", "Premier League"]

with gr.Blocks() as demo:
    gr.Markdown("## Simple Analogy App")
    gr.Markdown("Turn any topic into a themed analogy!")

    with gr.Row():
        topic_input = gr.Textbox(label="Enter any topic", placeholder="e.g. Quantum Physics")
        theme_input = gr.Dropdown(choices=themes, label="Choose a Theme")

    generate_button = gr.Button("Generate Analogy")
    output = gr.Textbox(
        label="Generated Analogy",
        value="",    # always visible
        lines=20,
        max_lines=40
    )

    # Connect button to generator function
    generate_button.click(
        fn=generate_analogy,
        inputs=[topic_input, theme_input],
        outputs=output
    )

demo.launch()