Update app.py

app.py

@@ -31,9 +31,20 @@ def predict(original_sentence_input, *sentences_to_compare):
 # Define inputs and outputs for Gradio interface
 model_name_display = gr.Markdown(value="**Model Name**: sartifyllc/African-Cross-Lingua-Embeddings-Model")
 original_sentence_input = gr.Textbox(lines=2, placeholder="Enter the original sentence here...", label="Original Sentence")
-sentence_to_compare_inputs = gr.Dataset(components=[gr.Textbox(lines=2, placeholder="Enter the sentence you want to compare...", label=f"Sentence to Compare {i}") for i in range(1, 4)], label="Sentences to Compare", datatype="str")
 
-inputs = [model_name_display, original_sentence_input, sentence_to_compare_inputs]
+# Initial sentence comparison inputs
+sentence_to_compare_inputs = [
+    gr.Textbox(lines=2, placeholder="Enter the sentence you want to compare...", label="Sentence to Compare 1"),
+    gr.Textbox(lines=2, placeholder="Enter the sentence you want to compare...", label="Sentence to Compare 2"),
+    gr.Textbox(lines=2, placeholder="Enter the sentence you want to compare...", label="Sentence to Compare 3")
+]
+
+def update_interface(num_sentences):
+    return [gr.Textbox(lines=2, placeholder="Enter the sentence you want to compare...", label=f"Sentence to Compare {i}") for i in range(1, num_sentences+1)]
+
+num_sentences_input = gr.Slider(minimum=1, maximum=10, step=1, default=3, label="Number of Sentences to Compare")
+
+inputs = [model_name_display, original_sentence_input, num_sentences_input] + sentence_to_compare_inputs
 outputs = gr.JSON(label="Detailed Similarity Scores")
 
 # Create Gradio interface
@@ -43,6 +54,5 @@ gr.Interface(
     description="Compute the semantic similarity across various sentences among any African Languages using African-Cross-Lingua-Embeddings-Model.",
     inputs=inputs,
     outputs=outputs,
-    cache_examples=False,
-    allow_flagging="never"
+    live=True
 ).launch(debug=True, share=True)