Update app.py

app.py

@@ -11,6 +11,13 @@ from sentence_transformers.cross_encoder import CrossEncoder
 from sklearn.metrics.pairwise import cosine_similarity
 import os
 import gradio as gr
+css = """
+.table-wrap {
+    min-height: 300px;
+    max-height: 300px;
+}
+"""
+
 
 Secret_token = os.getenv('HF_token')
 
@@ -56,7 +63,7 @@ def find_most_similar_matn(text, n):
     matns = matns[is_taraf> .5]
     return matns[['Book_Name', 'matn', 'taraf_ID', 'Book_ID', 'Hadith Number', 'Author', 'Similarity']]
 
-with gr.Blocks() as demo:
+with gr.Blocks(css=css) as demo:
     text_input = gr.Textbox()
     num_hadith = gr.Slider(1, 50, value = 5, label = 'Num Hadith', info = 'Choose the number of Hadith to Return', step = 1)
     text_output = gr.DataFrame(wrap=True)