Corrections

app.py

@@ -3,16 +3,14 @@ import models
 import results
 import theme
     
-text = "<h1 style='text-align: center; color: #333333; font-size: 40px;'>AI TCO Comparison Calculator"
-text2 = "<h1 style='color: #333333; font-size: 20px;'>🙌 Want to contribute?"
+text = "<h1 style='text-align: center; color: #333333; font-size: 40px;'>AI TCO Comparison Calculator -- ML/PLD/SL"
+text2 = "<h1 style='color: #333333; font-size: 20px;'>🙌 "
 text3 = "Please note that the cost/request only defines the infrastructure cost for deployment. The labor cost must be added for the whole AI model service deployment TCO."
 intro = f"""
 <p>Discover and compare various AI model services, including SaaS and "Deploy Yourself" solutions, based on the Total Cost of Ownership for their deployment. 😊</p> 
 <p>Please keep in mind that our focus is on getting the AI model service up and running, not accounting for additional maintenance costs.🚀</p>
 """
-contribution = f"""
-<p>If you want to contribute to the calculator by <strong>adding your own AI service option</strong>, follow this <a href="https://huggingface.co/spaces/mithril-security/TCO_calculator/blob/main/How_to_contribute.md">tutorial</a> 👈. </p>
-"""
+
 formula = r"""
 $CR = \frac{CIT_{1K} \times IT + COT_{1K} \times OT}{1000}$  <br>
 with: <br>
@@ -24,8 +22,8 @@ $OT$ = Output Tokens
 """
 
 def on_use_case_change(use_case):
-    if use_case == "Summarize":
-        return gr.update(value=500), gr.update(value=200)
+    if use_case == "ChatBOT":
+        return gr.update(value=300), gr.update(value=700)
     elif use_case == "Question-Answering":
         return gr.update(value=300), gr.update(value=300)
     else:
@@ -43,13 +41,13 @@ with gr.Blocks(theme=style) as demo:
     with gr.Row():
         with gr.Column():
             with gr.Row():
-                use_case = gr.Dropdown(["Summarize", "Question-Answering", "Classification"], value="Question-Answering", label=" Describe your use case ")
+                use_case = gr.Dropdown(["Summarize", "Question-Answering", "Classification","ChatBOT"], value="ChatBOT", label=" Describe your use case ")
             with gr.Accordion("Click here if you want to customize the number of input and output tokens per request", open=False):    
                 with gr.Row():
                     input_tokens = gr.Slider(minimum=1, maximum=1000, value=300, step=1, label=" Input tokens per request", info="We suggest a value that we believe best suit your use case choice but feel free to adjust", interactive=True)
                     output_tokens = gr.Slider(minimum=1, maximum=1000, value=300, step=1, label=" Output tokens per request", info="We suggest a value that we believe best suit your use case choice but feel free to adjust", interactive=True)
                 with gr.Row(visible=False):    
-                    num_users = gr.Number(value="1000", interactive = True, label=" Number of users for your service ")
+                    num_users = gr.Number(value="100", interactive = True, label=" Number of users for your service ")
     
     use_case.change(on_use_case_change, inputs=use_case, outputs=[input_tokens, output_tokens])