update app.py

app.py

@@ -129,21 +129,21 @@ def evaluate_model(model_id):
 
 # Define the Gradio interface
 def display_results(model_name):
-    result_df, charts = evaluate_model(model_name)
-    return result_df, charts[0], charts[1], charts[2]
+    result_df, chart1, chart2, chart3 = evaluate_model(model_name)
+    return result_df, chart1, chart2, chart3
 
 demo = gr.Interface(
     fn=display_results, 
-    inputs=gr.Textbox(label="Enter a Hugging Face Model ID", placeholder="e.g., sentence-transformers/all-MiniLM-L6-v2"), 
+    inputs=gr.Textbox(label="Enter Your Embedding Model ID", placeholder="e.g., Omartificial-Intelligence-Space/GATE-AraBert-v1"), 
     outputs=[
         gr.Dataframe(label="Evaluation Results"),
         gr.Plot(label="Arabic Financial Dataset (Financial Evaluation)"),
         gr.Plot(label="MLQA Arabic (Long Context Evaluation)"),
         gr.Plot(label="ARCD (Short Context Evaluation)")
     ],
-    title="Trireval for Arabic RAG Embedding Models",
+    title="Evaluation of Arabic Matryoshka Embedding Models on Retreival Tasks ",
     description=(
-        "Evaluate your Sentence Transformer model's performance on **context and question retrieval** for Arabic datasets using RAG (Retrieval-Augmented Generation).\n"
+        "Evaluate your Sentence Transformer model's performance on **context and question retrieval** for Arabic datasets for enhancing Arabic RAG.\n"
         "- **ARCD** evaluates short context retrieval performance.\n"
         "- **MLQA Arabic** evaluates long context retrieval performance.\n"
         "- **Arabic Financial Dataset** focuses on financial context retrieval.\n\n"
@@ -156,6 +156,9 @@ demo = gr.Interface(
     css="footer {visibility: hidden;}"
 )
 
+demo.launch(share=True)
+
+
 demo.launch(share=True)
 
 # Add the footer