Update app.py

app.py

@@ -5,7 +5,7 @@ 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)
+detoxify_pipeline = pipeline('text-classification', model='unitary/toxic-bert', tokenizer='bert-base-uncased', function_to_apply='sigmoid', top_k=None)
 politeness_classifier = pipeline("text-classification", model="Genius1237/xlm-roberta-large-tydip")
 
 def translate_text(text):
@@ -54,7 +54,7 @@ def analyze_text(icelandic_text):
     return analysis_results
 
 demo = gr.Interface(fn=analyze_text, 
-                     inputs="text", 
+                     inputs=gr.inputs.Textbox(lines=2, placeholder="Enter Icelandic Text Here..."), 
                      outputs=[gr.outputs.Textbox(label="Translated Text"),
                               gr.outputs.Textbox(label="Sentiment"),
                               gr.outputs.Textbox(label="Formality"),
@@ -64,4 +64,4 @@ demo = gr.Interface(fn=analyze_text,
                      description="This app translates Icelandic text to English and performs sentiment, formality, toxicity, and politeness analysis.")
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()