model name

app.py

@@ -27,7 +27,7 @@ def initialize_app():
     nltk.download("punkt")
     SESSION_DEFAULTS = {
         "model_type": "local",
-        "model_name": "long-t5 v1",
+        "model_name": "Boardpac summarizer v1",
         "summarizer_type": "Map Reduce",
         "is_parameters_changed":False,
         # "user_question":'',
@@ -89,7 +89,7 @@ def side_bar():
         with st.form('param_form'):
             # st.info('Info: use openai chat model for best results')
             model_name = st.selectbox(
-                "Chat model",
+                "Summary model",
                 MODELS,
                 #  options=["long-t5 v0", "long-t5 v1",  "pegasus-x-large v1", "OpenAI"],
                 key="Model Name",
@@ -136,17 +136,18 @@ def side_bar():
                     alert.empty() # Clear the alert
         st.markdown(
             "### How to use\n"
-            "1. Select the LLM model\n"  # noqa: E501
-            "1. If selected model asks for a api key enter a valid api key.\n"  # noqa: E501
-            "1. Enter a text or a url to get a  summary."
+            "1. Select the Summarization model\n"  # noqa: E501
+            # "1. If selected model asks for a api key enter a valid api key.\n"  # noqa: E501
+            "1. Enter the text to get the summary."
         )
         st.markdown("---")
         st.markdown("""
            This app supports text in the following formats:
             - Raw text in text box 
-            - URL of article/news to be summarized 
             - .txt, .pdf, .docx file formats
-        """)
+        """
+            #  - URL of article/news to be summarized 
+        )
 
 
 def load_app():

config.py

@@ -1,6 +1,6 @@
 MODELS = {
     # "long-t5 v0":"IronOne-AI-Labs/long-t5-tglobal-16k-annual-reports-v0",
-    "long-t5 v1":"IronOne-AI-Labs/long-t5-tglobal-16k-annual-reports-v1",
+    "Boardpac summarizer v1":"IronOne-AI-Labs/long-t5-tglobal-16k-annual-reports-v1",
     # "pegasus-x-large v1" : "IronOne-AI-Labs/pegasus-x-large-annual-report-QLoRA-fine-tuned-v1.1", #for tokenizer
     # "openai" : "IronOne-AI-Labs/pegasus-x-large-annual-report-QLoRA-fine-tuned-v1.1"
 }