Update app.py

app.py

@@ -69,15 +69,13 @@ def predict(model_name, mode, sentence1, sentence2=None, sentence3=None, sentenc
     return result
 
 # Define inputs and outputs for Gradio interface
-model_dropdown = gr.Dropdown(choices=list(model_dict.keys()), label="Model")
-mode_dropdown = gr.Dropdown(choices=["Compare two sentences", "Compare one to three"], label="Mode")
-dimension_dropdown = gr.Dropdown(choices=["768", "512", "256", "128", "64"], label="Embedding Dimension")
+model_name = "AviLABASE", label="Model")
 sentence1_input = gr.Textbox(lines=2, placeholder="Enter the first sentence here...", label="Sentence 1")
 sentence2_input = gr.Textbox(lines=2, placeholder="Enter the second sentence here...", label="Sentence 2 (or first of three for mode)")
 sentence3_input = gr.Textbox(lines=2, placeholder="Enter the third sentence here...", label="Sentence 3")
 sentence4_input = gr.Textbox(lines=2, placeholder="Enter the fourth sentence here...", label="Sentence 4")
 
-inputs = [model_dropdown, mode_dropdown, sentence1_input, sentence2_input, sentence3_input, sentence4_input, dimension_dropdown]
+inputs = [model_name, sentence1_input, sentence2_input, sentence3_input, sentence4_input]
 outputs = gr.JSON(label="Detailed Similarity Scores")
 
 examples = [