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import gradio as gr | |
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer | |
# Configuraci贸n de VADER | |
analyzer = SentimentIntensityAnalyzer() | |
# Funci贸n para analizar el sentimiento | |
def analyze_sentiment(text): | |
if text: | |
scores = analyzer.polarity_scores(text) | |
sentiment = "Positive" if scores["compound"] > 0 else "Negative" if scores["compound"] < 0 else "Neutral" | |
return f"Sentiment: {sentiment}\nDetails: {scores}" | |
else: | |
return "Please enter valid text." | |
# Frases predefinidas | |
positive_examples = ["I absolutely love this product, it's amazing!", "This is the best day of my life!"] | |
negative_examples = ["I hate this experience, it's terrible.", "This is the worst product I've ever tried."] | |
neutral_examples = ["The package arrived on time.", "It was an ordinary day, nothing special."] | |
# Crear la interfaz con Gradio | |
interface = gr.Interface( | |
fn=analyze_sentiment, | |
inputs=gr.Textbox(lines=3, placeholder="Type a text to analyze...", label="Enter Text"), | |
outputs="text", | |
examples=[ # Botones de frases predefinidas | |
[positive_examples[0]], | |
[positive_examples[1]], | |
[negative_examples[0]], | |
[negative_examples[1]], | |
[neutral_examples[0]], | |
[neutral_examples[1]], | |
], | |
title="Sentiment Analysis", | |
description="Enter text in English to analyze its sentiment (positive, negative, or neutral). You can also try the predefined examples below.", | |
theme=gr.themes.Soft(), | |
) | |
# Lanzar la app | |
interface.launch() |