app.py

import gradio as gr
from model import EmojiPredictor
import os

# Get the base directory (this file's folder)
BASE_DIR = os.path.dirname(os.path.abspath(__file__))

# Relative paths to model + emoji data
MODEL_PATH = "zoharzaig/emoji-prediction-model"
EMOJI_DATA_PATH = os.path.join(BASE_DIR, "generated_emoji_training_data.json")

# Initialize the emoji predictor with relative paths
emoji_predictor = EmojiPredictor(
    model_path=MODEL_PATH,
    emoji_data_path=EMOJI_DATA_PATH
)

def predict_emoji(text):
    """
    Predict emoji for given text
    """
    if not text or text.strip() == "":
        return "⚠️ Please enter some text"
    
    try:
        emoji = emoji_predictor.predict(text.strip())
        return emoji
    except Exception as e:
        return f"❌ Error: {str(e)}"

# Create Gradio interface
iface = gr.Interface(
    fn=predict_emoji,
    inputs=gr.Textbox(
        label="Enter your text",
        placeholder="Type something to get emoji predictions...",
        lines=3
    ),
    outputs=gr.Textbox(
        label="Predicted Emoji",
        show_copy_button=True
    ),
    title="🎯 Emoji Predictor",
    description="Enter any text and get relevant emoji predictions using AI!",
    examples=[
        ["I'm so happy today!"],
        ["This weather is terrible"],
        ["I love pizza and ice cream"],
        ["Working late again tonight"],
        ["Can't wait for the weekend"]
    ],
    theme=gr.themes.Soft(),
    allow_flagging="never"
)

iface.launch()