Update app.py

app.py

@@ -288,7 +288,7 @@ def getData(tlspc_api_key, openai_api_key):
 # User facing application
 with gr.Blocks(theme='aliabid94/new-theme') as demo:
     #gr.Image('https://design.venafi.com/dist/svg/logos/venafi/logo-venafi-combo.svg', height = 50, width = 200, 
-    gr.Image('V Experimental.svg', height=50, width=250, 
+    gr.Image('V Experimental.svg', height=50, width=225, 
              show_share_button = False, show_download_button = False, show_label = False, container=False)
     gr.Markdown("**Vikram Explorer** is an entirely new way to get answers and insights to solve machine identity management problems. Release of this opensource project under Apache 2.0 license is part of Venafi Athena for Community initiatives.")
     with gr.Tab('Get Started!'):
@@ -296,7 +296,7 @@ with gr.Blocks(theme='aliabid94/new-theme') as demo:
         
         This is an experimental opensource project. It combines TLS Protect Cloud’s modern APIs and data with the intelligence of OpenAI ChatGPT. To get started, navigate to the API Keys tab. This will connect to your TLS Protect Cloud and OpenAI accounts.  
         
-        Signup for TLS Protect Cloud at (venafi.com/signup).   
+        Signup for TLS Protect Cloud at [venafi.com/signup](https://venafi.com/signup).   
 
         Use of this project either when run locally in your environment or on Hugging Face may introduce risks. Running this project accesses data from your TLS Protect Cloud account. While this project does not store your TLS Protect Cloud data or send that data to OpenAI, the prompts entered are sent to OpenAI for Python code generation.