Update app.py

app.py

@@ -14,7 +14,7 @@ import tokenizers
 #os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
 random.seed(None)
-suggested_text_list = ['לכן, ']
+suggested_text_list = ['מטרת הבריאה']
 
 @st.cache(hash_funcs={tokenizers.Tokenizer: id, tokenizers.AddedToken: id})
 def load_model(model_name):
@@ -95,13 +95,13 @@ if __name__ == "__main__":
 
     model.to(device)
 
-    text_area = st.text_area("Enter the first few words (or leave blank), tap on \"Generate Text\" below. Tapping again will produce a different result.", 'לכן, ')
+    text_area = st.text_area("Enter the first few words (or leave blank), tap on \"Generate Text\" below. Tapping again will produce a different result.", 'מטרת הבריאה')
 
     st.sidebar.subheader("Configurable parameters")
 
-    max_len = st.sidebar.slider("Max-Length", 0, 256, 192,help="The maximum length of the sequence to be generated.")
-    top_k = st.sidebar.slider("Top-K", 0, 100, 40, help="The number of highest probability vocabulary tokens to keep for top-k-filtering.")
-    top_p = st.sidebar.slider("Top-P", 0.0, 1.0, 0.92, help="If set to float < 1, only the most probable tokens with probabilities that add up to top_p or higher are kept for generation.")
+    max_len = st.sidebar.slider("Max-Length", 0, 256, 80, help="The maximum length of the sequence to be generated.")
+    top_k = st.sidebar.slider("Top-K", 0, 100, 0, help="The number of highest probability vocabulary tokens to keep for top-k-filtering.")
+    top_p = st.sidebar.slider("Top-P", 0.0, 1.0, 1.0, help="If set to float < 1, only the most probable tokens with probabilities that add up to top_p or higher are kept for generation.")
 
     if st.button("Generate Text"):
         with st.spinner(text="Generating results..."):