Update app.py

app.py

@@ -6,4 +6,37 @@ 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")
+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()