upgraded to claude-2.1

app.py

@@ -64,7 +64,7 @@ def get_paper_from_huggingface(paper_id):
 
 
 class ContextualQA:
-    def __init__(self, client, model="claude-2.0"):
+    def __init__(self, client, model="claude-2.1"):
         self.client = client
         self.model = model
         self.context = ""
@@ -177,7 +177,7 @@ def load_context(paper_id):
 
     # Initialize the Anthropic client and QA model
     client = Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])
-    qa_model = ContextualQA(client, model="claude-2.0")
+    qa_model = ContextualQA(client, model="claude-2.1")
     context = f"{LEADING_PROMPT}\n{latex_source}"
     qa_model.load_text(context)
 
@@ -226,14 +226,14 @@ with gr.Blocks(
     gr.HTML(
         """
     <h1 style='text-align: center; font-size: 24px;'>
-        Explore ArXiv Papers in Depth with <code>claude-2.0</code> - Ask Questions and Get Answers Instantly
+        Explore ArXiv Papers in Depth with 🔥 <code>claude-2.1</code> 🔥- Ask Questions and Get Answers Instantly
         </h1>
         """
     )
     # gr.HTML(
     #     """
     # <p style='text-align: justify; font-size: 18px; margin: 10px;'>
-    #     Explore the depths of ArXiv papers with our interactive app, powered by the advanced <code>claude-2.0</code> model. Ask detailed questions and get immediate, context-rich answers from academic papers.
+    #     Explore the depths of ArXiv papers with our interactive app, powered by the advanced <code>claude-2.1</code> model. Ask detailed questions and get immediate, context-rich answers from academic papers.
     # </p>
     # """
     # )
@@ -278,7 +278,7 @@ with gr.Blocks(
     gr.Markdown(
         "## Acknowledgements\n"
         "This project is made possible through the generous support of "
-        "[Anthropic](https://www.anthropic.com/), who provided free access to the `claude-2.0` API."
+        "[Anthropic](https://www.anthropic.com/), who provided free access to the `claude-2.1` API."
     )
 
     btn_load.click(load_context, inputs=[paper_id_input], outputs=[qa_model, chatbot])