app.py

import nltk
nltk.download('stopwords')

import gradio as gr
from src.models.inference import SentimentModel

model = SentimentModel()

def predict(text):
    if not text.strip():
        return "Please enter some text."
    result = model.predict(text)
    emoji_map = {
        "positive": "😊 Positive",
        "negative": "😞 Negative",
        "neutral": "😐 Neutral"
    }
    return emoji_map.get(result.lower(), result)

demo = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(
        label="Enter your text",
        placeholder="Type something here...",
        lines=4
    ),
    outputs=gr.Textbox(label="Sentiment Result"),
    title="🎭 Sentiment Analyzer",
    description="Enter any text and find out whether the sentiment is Positive, Negative, or Neutral.",
    
)

demo.launch(theme=gr.themes.Soft())