Update app.py

app.py

@@ -1,4 +1,3 @@
-
 from transformers import pipeline
 from torch import Tensor
 from transformers import AutoTokenizer, AutoModel
@@ -23,21 +22,22 @@ checkpoint = "intfloat/multilingual-e5-large"
 tokenizer = AutoTokenizer.from_pretrained(checkpoint)
 model = AutoModel.from_pretrained(checkpoint)
 
-demo = gr.Blocks(theme="gradio/glass")
+demo = gr.Blocks(theme="freddyaboulton/dracula_revamped")
 with demo:
+
     gr.Markdown("# Sentence Similarity")
     gr.Markdown("### How to use:")
     gr.Markdown("- Enter Passage 1 and Passage 2, then press Submit")
     gr.Markdown("- Select an example, then press Submit")
+    gr.Markdown("Model: https://huggingface.co/intfloat/multilingual-e5-large  (Multilingual: 94 languages)")
 
-    p_txt1 = gr.Textbox(placeholder="Enter passage 1", label="Passage 1")
-    p_txt2 = gr.Textbox(placeholder="Enter passage 2", label="Passage 2")
-    submit = gr.Button("Submit")
-    o_txt = gr.Textbox(placeholder="Similarity score", lines=1, 
-                       interactive=False, label="Similarity score (0-1)")
+    with gr.Row():
 
-    gr.Markdown("Model: https://huggingface.co/intfloat/multilingual-e5-large")
-    gr.Markdown("Task: Sentence Similarity (Multilingual: 94 languages)")
+        p_txt1 = gr.Textbox(placeholder="Enter passage 1", label="Passage 1", lines=3, scale=2)
+        p_txt2 = gr.Textbox(placeholder="Enter passage 2", label="Passage 2", lines=3, scale=2)
+        o_txt = gr.Textbox(placeholder="Similarity score", lines=1, interactive=False, label="Similarity score (0-1)", scale=1)
+   
+    submit = gr.Button("Submit")
 
     gr.Examples(
         [
@@ -56,4 +56,4 @@ with demo:
         o_txt
     )
 
-demo.launch()
+demo.launch()