update app.py

app.py

@@ -23,10 +23,7 @@ def predict(sentence1, sentence2):
     
     label_probs = {labels[i]: float(scores[i]) for i in range(len(labels))}
     
-    return {
-        "Similarity Score": similarity_score.item(),
-        "Label Probabilities": label_probs
-    }
+    return similarity_score.item(), label_probs
 
 # Define inputs and outputs for Gradio interface
 inputs = [
@@ -48,10 +45,10 @@ examples = [
 gr.Interface(
     fn=predict,
     title="Arabic Sentence Similarity and NLI Classification",
-    description="Compute the semantic similarity and classify the relationship between two Arabic sentences using a SentenceTransformer model.",
+    description="Compute the semantic similarity and classify the relationship between two Arabic sentences using an Arabic Matryoshka Embedding model.",
     inputs=inputs,
     examples=examples,
     outputs=outputs,
     cache_examples=False,
-    article="OMER NACAR. Model from Hugging Face Hub: Omartificial-Intelligence-Space/Arabic-Nli-Matryoshka",
-).launch(debug=True)
+    article="Author: OMER NACAR. Model from Hugging Face Hub: Omartificial-Intelligence-Space/Arabic-Nli-Matryoshka",
+).launch(debug=True, share=True)