Lists in dictionary to avoid growing front end code

app.py

@@ -94,76 +94,107 @@ def custom_generate_response(cust_user_message, prompt_index, prompts_list):
     cust_user_message = f"{prompt}\n\n{cust_user_message}\n\n{ending}"
     yield from generate_response(cust_user_message)
 
-CustomPrompts = [
-    ("Write a Class Diagram based on the following text:", "Class Diagram:"),
-    ("Write a Pydot code based on the following text:", "Pydot Code:"),
-    ("Describe what a standard happy scene in any movie would be planned in great detail, based on the following text:", "Scene Details"),
-    ("Explain a teardown of the product mentioned in the following text:", "Teardown Details:"),
-    ("Explain the manufacturing of the product mentioned in the following text:", "Manufacturing Details:"),
-    ("Explain the marketing considerations of the product mentioned in the following text:", "Considerations:"),
-    ("Explain the target users considerations of the product mentioned in the following text:", "Target Users Considerations:"),
-    ("My problem to solve is", "- please make 10 sub problems have to solve from this:"),
-]
-
-BusinessPrompts = [
-    ("Suggest Product ideas just based off the following text:", "Products:"),
-    ("Write an outline for a business plan for: " , ""),
-    ("Write an example of a detailed report for a Executive Summary for " , "Executive Summary:"),
-    ("Write an example of a detailed report for a Company Description for " , "Company Description:"),
-    ("Write an example of a detailed report for a Market Analysis for " , "Market Analysis:"),
-    ("Write an example of a detailed report for a Marketing and Sales Strategy for " , "Marketing and Sales Strategy:"),
-    ("Write an example of a detailed report for a Product Development for " , "Product Development:"),
-    ("Write an example of a detailed report for a Operations and Management for " , "Operations and Management:"),
-    ("Write an example of a detailed report for a Financial Projections for " , "Financial Projections:"),
-    ("Explain how this to make this product unique from competitors:", "Considerations:"),
-]
-
-ProgrammingPatternPrompts = [
-    ("Demonstrate a builder pattern in go:", ""),
-    ("Demonstrate a zero cost abstractions in go:", ""),
-    ("Demonstrate a builder pattern in rust:", ""),
-    ("Demonstrate a Polymorphism in rust:", ""),
-    ("Explain how RAII pattern affects rust:", ""),
-    ("Demonstrate a builder pattern in c++:", ""),
-    ("Explain when to consider using a builder pattern in go:", ""),
-]
+Allprompts = {
+    "Custom Prompts" : [
+        ("Write a Class Diagram based on the following text:", "Class Diagram:"),
+        ("Write a Pydot code based on the following text:", "Pydot Code:"),
+        ("Describe what a standard happy scene in any movie would be planned in great detail, based on the following text:", "Scene Details"),
+        ("Explain a teardown of the product mentioned in the following text:", "Teardown Details:"),
+        ("Explain the manufacturing of the product mentioned in the following text:", "Manufacturing Details:"),
+        ("Explain the marketing considerations of the product mentioned in the following text:", "Considerations:"),
+        ("Explain the target users considerations of the product mentioned in the following text:", "Target Users Considerations:"),
+        ("My problem to solve is", "- please make 10 sub problems have to solve from this:"),
+    ],
+    "Business Prompts" : [
+        ("Suggest Product ideas just based off the following text:", "Products:"),
+        ("Write an outline for a business plan for: " , ""),
+        ("Write an example of a detailed report for a Executive Summary for " , "Executive Summary:"),
+        ("Write an example of a detailed report for a Company Description for " , "Company Description:"),
+        ("Write an example of a detailed report for a Market Analysis for " , "Market Analysis:"),
+        ("Write an example of a detailed report for a Marketing and Sales Strategy for " , "Marketing and Sales Strategy:"),
+        ("Write an example of a detailed report for a Product Development for " , "Product Development:"),
+        ("Write an example of a detailed report for a Operations and Management for " , "Operations and Management:"),
+        ("Write an example of a detailed report for a Financial Projections for " , "Financial Projections:"),
+        ("Explain how this to make this product unique from competitors:", "Considerations:"),
+    ],
+    "Programming Pattern Prompts" : [
+        ("Demonstrate a builder pattern in go:", ""),
+        ("Demonstrate a zero cost abstractions in go:", ""),
+        ("Demonstrate a builder pattern in rust:", ""),
+        ("Demonstrate a Polymorphism in rust:", ""),
+        ("Explain how RAII pattern affects rust:", ""),
+        ("Demonstrate a builder pattern in c++:", ""),
+        ("Explain when to consider using a builder pattern in go:", ""),
+    ],
+    "Creativity Prompts" : [
+        ("Make the following text more vague:", "Vague version:"),
+        ("Turn the following text into a bunch of rules:", "Rules:"),
+        ("What Syllogisms can be made from this text:", "Syllogisms:"),
+        ("Reimagine the following text:", ""),
+    ],
+    "Game Based" : [
+        ("What obstacles to growth exist in the following text:", "Obstacles:"),
+        ("Write a story for the basis of a random game", ""),
+        ("What are common themes in games?", ""),
+        ("Write Three factions and why they are at conflict based on the following text:", "Faction 1:"),
+    ]
+}
 
 with gr.Blocks() as iface:
-    gr.HTML("<a href='https://huggingface.co/spaces/stabilityai/stablelm-2-1_6b-zephyr'> -- Original StabilityAI demo -- </a> | ")
-    gr.Interface(
-        fn=generate_response,
-        inputs=gr.Textbox(lines=2, placeholder="Type your message here..."),
-        outputs="text",
-        title="Stable LM 2 Zephyr (1.6b) LLama.cpp Interface Test (Inconsistent Performance - 100 tokens in 50 secs (when this HF space is updated) or 800+ secs(HF space open for long))",
-        description="No Prompt template used yet (Essentially autocomplete). No Message History for now - Enter your message and get a response.",
-        flagging_dir="/usr/src/app/flagged",
-    )
-
-    gr.HTML("Any standard way of thinking / Repetitive idea / rule of thumb / advice can be turned into a button (In a timeline?)")
-    gr.HTML("LLM powered Buttons as the new notetaking? (Youtube Video to prompt pipeline?)<br><br>List to buttons (Instead of buttons tabs and dropdowns?)")
-
-    MainOutput = gr.TextArea(placeholder='Output will show here')
-    CustomButtonInput = gr.TextArea(lines=1, placeholder='Prompt goes here')
-
-    with gr.Accordion("Random Ideas"):
-        with gr.Group():        
-            for index, (prompt, _) in enumerate(CustomPrompts):
-                button = gr.Button(prompt)
-                # Pass CustomPrompts list as an argument
-                button.click(custom_generate_response, inputs=[CustomButtonInput, gr.State(index), gr.State(CustomPrompts)], outputs=MainOutput)
-
-    with gr.Accordion("General Product and Business based", open=False):
-        with gr.Group():
-            for index, (prompt, _) in enumerate(BusinessPrompts):
-                button = gr.Button(prompt)
-                # Pass BusinessPrompts list as an argument
-                button.click(custom_generate_response, inputs=[CustomButtonInput, gr.State(index), gr.State(BusinessPrompts)], outputs=MainOutput)
-    
-    with gr.Accordion("General Programming Pattern based", open=False):
-        with gr.Group():
-            for index, (prompt, _) in enumerate(ProgrammingPatternPrompts):
-                button = gr.Button(prompt)
-                # Pass BusinessPrompts list as an argument
-                button.click(custom_generate_response, inputs=[CustomButtonInput, gr.State(index), gr.State(ProgrammingPatternPrompts)], outputs=MainOutput)
+    with gr.Tab("Single prompt"):
+        gr.HTML("<a href='https://huggingface.co/spaces/stabilityai/stablelm-2-1_6b-zephyr'> -- Original StabilityAI demo -- </a> | ")
+        gr.Interface(
+            fn=generate_response,
+            inputs=gr.Textbox(lines=2, placeholder="Type your message here..."),
+            outputs="text",
+            title="Stable LM 2 Zephyr (1.6b) LLama.cpp Interface Test (Inconsistent Performance - 100 tokens in 50 secs (when this HF space is updated) or 800+ secs(HF space open for long))",
+            description="No Prompt template used yet (Essentially autocomplete). No Message History for now - Enter your message and get a response.",
+            flagging_dir="/usr/src/app/flagged",
+        )
+
+        gr.HTML("Any standard way of thinking / Repetitive idea / rule of thumb / advice can be turned into a button (In a timeline?)")
+        gr.HTML("LLM powered Buttons as the new notetaking? (Youtube Video to prompt pipeline?)<br><br>List to buttons (Instead of buttons tabs and dropdowns maybe?)")
+
+        MainOutput = gr.TextArea(placeholder='Output will show here')
+        CustomButtonInput = gr.TextArea(lines=1, placeholder='Prompt goes here')
+
+        # with gr.Accordion("Random Ideas"):
+        #     with gr.Group():        
+        #         for index, (prompt, _) in enumerate(CustomPrompts):
+        #             button = gr.Button(prompt)
+        #             # Pass CustomPrompts list as an argument
+        #             button.click(custom_generate_response, inputs=[CustomButtonInput, gr.State(index), gr.State(CustomPrompts)], outputs=MainOutput)
+
+        # with gr.Accordion("General Product and Business based", open=False):
+        #     with gr.Group():
+        #         for index, (prompt, _) in enumerate(BusinessPrompts):
+        #             button = gr.Button(prompt)
+        #             # Pass BusinessPrompts list as an argument
+        #             button.click(custom_generate_response, inputs=[CustomButtonInput, gr.State(index), gr.State(BusinessPrompts)], outputs=MainOutput)
+
+        # with gr.Accordion("General Programming Pattern based", open=False):
+        #     with gr.Group():
+        #         for index, (prompt, _) in enumerate(ProgrammingPatternPrompts):
+        #             button = gr.Button(prompt)
+        #             # Pass BusinessPrompts list as an argument
+        #             button.click(custom_generate_response, inputs=[CustomButtonInput, gr.State(index), gr.State(ProgrammingPatternPrompts)], outputs=MainOutput)
+
+        # with gr.Accordion("General Creativity Pattern based", open=False):
+        #     with gr.Group():
+        #         for index, (prompt, _) in enumerate(CreativityPrompts):
+        #             button = gr.Button(prompt)
+        #             # Pass BusinessPrompts list as an argument
+        #             button.click(custom_generate_response, inputs=[CustomButtonInput, gr.State(index), gr.State(CreativityPrompts)], outputs=MainOutput)
+
+        for category_name, category_prompts in Allprompts.items():
+            with gr.Accordion(f"General {category_name} Pattern based"):
+                with gr.Group():
+                    for index, (prompt, _) in enumerate(category_prompts):
+                        button = gr.Button(prompt)
+                        button.click(generate_response, inputs=[CustomButtonInput, gr.State(index), gr.State(category_name)], outputs=MainOutput)
+
+
+    with gr.Tab("Workflow Brainstom"):
+        gr.HTML("Workflow = premeditated events --- need a timeline before prompts")
 
 iface.queue().launch(server_name="0.0.0.0", share=True)