Update app.py

app.py

@@ -3,14 +3,15 @@ import random
 import requests
 from mtranslate import translate
 import streamlit as st
+
 MODEL_URL = "https://api-inference.huggingface.co/models/flax-community/papuGaPT2"
 PROMPT_LIST = {
     "Najsmaczniejszy owoc to...": ["Najsmaczniejszy owoc to "],
     "Cześć, mam na imię...": ["Cześć, mam na imię "],
     "Największym polskim poetą był...": ["Największym polskim poetą był "],
 }
-
 API_TOKEN = st.secrets['api_token']
+
 headers = {"Authorization": f"Bearer {API_TOKEN}"}
 
 def query(payload, model_url):
@@ -38,8 +39,8 @@ def process(
     }
     return query(payload, model_name)
 # Page
-st.set_page_config(page_title="papuGaPT2 (Polish GPT-2) Demo")
-st.title("papuGaPT2 (Polish GPT-2")
+st.set_page_config(page_title="papuGaPT2 aka Polish GPT-2 model demo")
+st.title("papuGaPT2 aka Polish GPT-2")
 # Sidebar
 st.sidebar.subheader("Configurable parameters")
 max_len = st.sidebar.number_input(
@@ -76,7 +77,7 @@ st.markdown(
     
     To use it, add your text to 'Input Text' box, or click one of the below examples to load them and clik 'Submit' button. The model will generate text based on the entered text (prompt).
     
-    For more information including dataset, training and evaluation procedure, intended use, limitations and bias analysis see the model card at https://huggingface.co/flax-community/papuGaPT2)
+    For more information including dataset, training and evaluation procedure, intended use, limitations and bias analysis see the [model card](https://huggingface.co/flax-community/papuGaPT2)
     
     The models were trained with Jax and Flax using TPUs as part of the [Flax/Jax Community Week](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104) organised by HuggingFace.
     """