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import pkg_resources
from transformers import pipeline
import gradio as gr
translator = pipeline("translation", model="Helsinki-NLP/opus-mt-is-en")
sentiment_classifier = pipeline("text-classification", model="Birkir/electra-base-igc-is-sentiment-analysis")
formality_classifier = pipeline("text-classification", model="svanhvit/formality-classification-icebert")
detoxify_pipeline = pipeline('text-classification', model='unitary/toxic-bert', tokenizer='bert-base-uncased', function_to_apply='sigmoid', return_all_scores=True)
politeness_classifier = pipeline("text-classification", model="Genius1237/xlm-roberta-large-tydip")
def analyze_icelandic_text(icelandic_text):
analysis_result = analyze_text(icelandic_text)
sentiment_label = "Positive" if analysis_result["sentiment"]["label"] == "LABEL_1" else "Negative"
formality_label = "Formal" if analysis_result["formality"]["label"] == "formal" else "Informal"
toxic_label = "Toxic" if analysis_result["toxicity"]["score"] > 0.5 else "Not Toxic"
politeness_label = "Polite" if analysis_result["politeness"]["label"] == "polite" else "Impolite"
return {
"Translated Text": analysis_result["translated_text"],
"Sentiment": f"{sentiment_label} (Score: {round(analysis_result['sentiment']['score'], 2)})",
"Formality": f"{formality_label} (Score: {round(analysis_result['formality']['score'], 2)})",
"Toxicity": f"{toxic_label} (Score: {round(analysis_result['toxicity']['score'], 2)})",
"Politeness": f"{politeness_label} (Score: {round(analysis_result['politeness']['score'], 2)})"
}
iface = gr.Interface(
fn=analyze_icelandic_text,
inputs=gr.inputs.Textbox(lines=2, placeholder="Enter an Icelandic sentence here..."),
outputs=[
gr.outputs.Textbox(label="Translated Text"),
gr.outputs.Textbox(label="Sentiment"),
gr.outputs.Textbox(label="Formality"),
gr.outputs.Textbox(label="Toxicity"),
gr.outputs.Textbox(label="Politeness"),
],
title="Icelandic Text Analysis",
description="This app translates Icelandic text to English and analyzes its sentiment, formality, toxicity, and politeness."
)
if __name__ == "__main__":
iface.launch()
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