Update app.py

app.py

@@ -405,15 +405,15 @@ theme = gr.themes.Base(
     prose_text_size='*text_sm'
 )
 
-with gr.Blocks(title='Claimed', theme=theme) as demo:
+with gr.Blocks(title='Patent Toolkit', theme=theme) as demo:
     
     gr.Markdown("""
-    # CLAIMED - A GENERATIVE TOOLKIT FOR PATENT ATTORNEYS AND INVENTORS
+    # GENERATIVE TOOLKIT FOR PATENT ATTORNEYS AND INVENTORS
     The patenting process can be complex, time-consuming and expensive. We believe that AI will one day alleviate these problems.
     
     As a proof of concept, we've trained Meta's Llama on over 200k entries, with a focus on tasks related to the intellectual property domain.
 
-    We are currently running this demo on a less powerful version of our model due to computational limitations. If you would like to see our most powerful model in action, please contact us at this email: claimedip@gmail.com
+    We are currently running this demo on a less powerful version of our model due to computational limitations. If you would like to see our most powerful model in action, please contact us at this email: eogbomo21@imperial.ac.ic.uk
     
     We know that confidentiality is probably the number one concern for attorneys when considering using such tools. We don't store any of your inputs to use for further training and we don't use the OpenAI API (ChatGPT) as our backend, meaning that confidentiality is not comprimised!  
     
@@ -422,24 +422,24 @@ with gr.Blocks(title='Claimed', theme=theme) as demo:
     None of the outputs of this model, taken in part or in its entirety, constitutes legal advice. If you are seeking protection for you intellectual property, consult a registered patent/trademark attorney.
     """)
 
-    with gr.Tab("Ideator"):
-        gr.Markdown(""" 
-        Use this tool to generate ideas for how to implement an invention/creation.
-         """)
-        with gr.Row(scale=1, min_width=600):
-            with gr.Column():
-              userin = gr.Text(label="Input", lines=5)
-            with gr.Column():
-              text2 = gr.Textbox(label="Output", lines=5)
-        with gr.Row():
-            btn = gr.Button("Submit")
-        with gr.Row():
-          with gr.Accordion("Parameters"):
-              temp = gr.Slider(minimum=0, maximum=1, value=0.6, label="Temperature", step=0.1)
-              top_p = gr.Slider(minimum=0.5, maximum=1, value=0.95, label="Top P", step=0.1)
-              tokens = gr.Slider(minimum=5, maximum=2058, value=512, label="Max Tokens", step=1)
-
-        btn.click(fn=ideator, inputs=[userin, temp, top_p, tokens], outputs=text2)
+    # with gr.Tab("Ideator"):
+    #     gr.Markdown(""" 
+    #     Use this tool to generate ideas for how to implement an invention/creation.
+    #      """)
+    #     with gr.Row(scale=1, min_width=600):
+    #         with gr.Column():
+    #           userin = gr.Text(label="Input", lines=5)
+    #         with gr.Column():
+    #           text2 = gr.Textbox(label="Output", lines=5)
+    #     with gr.Row():
+    #         btn = gr.Button("Submit")
+    #     with gr.Row():
+    #       with gr.Accordion("Parameters"):
+    #           temp = gr.Slider(minimum=0, maximum=1, value=0.6, label="Temperature", step=0.1)
+    #           top_p = gr.Slider(minimum=0.5, maximum=1, value=0.95, label="Top P", step=0.1)
+    #           tokens = gr.Slider(minimum=5, maximum=2058, value=512, label="Max Tokens", step=1)
+
+    #     btn.click(fn=ideator, inputs=[userin, temp, top_p, tokens], outputs=text2)
 
     with gr.Tab("Claim Drafter"):
         gr.Markdown(""" 
@@ -481,26 +481,26 @@ with gr.Blocks(title='Claimed', theme=theme) as demo:
 
         btn.click(fn=desc_selector, inputs=[text1, Descriptionchoices]).then(run_model, inputs=[text1, Descriptionchoices, temp, top_p, tokens], outputs=text2)
     
-    with gr.Tab("Prosecution Beta"):
-        gr.Markdown(""" 
-        Use this tool to generate ideas for how to overcome objections to novelty and inventive step. For now, this tool only works on relatively short inputs, so maybe try very simple inventions or short paragraphs.
-         """)
-        with gr.Row(scale=1, min_width=600):
-            with gr.Column():
-              application = gr.Text(label="Present Invention", lines=5)
-              priorart = gr.Text(label="Prior Art Document", lines=5)        
-            with gr.Column():
-              text2 = gr.Textbox(label="Output", lines=5)
-        with gr.Row():
-            btn = gr.Button("Submit")
+    # with gr.Tab("Prosecution Beta"):
+    #     gr.Markdown(""" 
+    #     Use this tool to generate ideas for how to overcome objections to novelty and inventive step. For now, this tool only works on relatively short inputs, so maybe try very simple inventions or short paragraphs.
+    #      """)
+    #     with gr.Row(scale=1, min_width=600):
+    #         with gr.Column():
+    #           application = gr.Text(label="Present Invention", lines=5)
+    #           priorart = gr.Text(label="Prior Art Document", lines=5)        
+    #         with gr.Column():
+    #           text2 = gr.Textbox(label="Output", lines=5)
+    #     with gr.Row():
+    #         btn = gr.Button("Submit")
             
-        with gr.Row():
-          with gr.Accordion("Parameters"):
-              temp = gr.Slider(minimum=0, maximum=1, value=0.6, label="Temperature", step=0.1)
-              top_p = gr.Slider(minimum=0.5, maximum=1, value=0.95, label="Top P", step=0.1)
-              tokens = gr.Slider(minimum=5, maximum=2058, value=512, label="Max Tokens", step=1)
+    #     with gr.Row():
+    #       with gr.Accordion("Parameters"):
+    #           temp = gr.Slider(minimum=0, maximum=1, value=0.6, label="Temperature", step=0.1)
+    #           top_p = gr.Slider(minimum=0.5, maximum=1, value=0.95, label="Top P", step=0.1)
+    #           tokens = gr.Slider(minimum=5, maximum=2058, value=512, label="Max Tokens", step=1)
         
-        btn.click(fn=prosecute, inputs=[application, priorart, temp, top_p, tokens], outputs=text2)
+    #     btn.click(fn=prosecute, inputs=[application, priorart, temp, top_p, tokens], outputs=text2)
      
     with gr.Tab("CPC Search Tool"):
         gr.Markdown("""