Upload 3 files

app.py

@@ -10,15 +10,16 @@ import urllib.parse
 
 
 # Configuration
-SPACE_NAME = "My Custom Space"
-SPACE_DESCRIPTION = " sadfsdf sadfs dfas. sfadfasdff fsdafsdfasdf.           d"
-SYSTEM_PROMPT = """You are a pedagogically-minded academic assistant designed for introductory courses. Your approach follows constructivist learning principles: build on students' prior knowledge, scaffold complex concepts through graduated questioning, and use Socratic dialogue to guide discovery. Provide concise, evidence-based explanations that connect theory to lived experiences. Each response should model critical thinking by acknowledging multiple perspectives, identifying assumptions, and revealing conceptual relationships. Conclude with open-ended questions that promote higher-order thinking—analysis, synthesis, or evaluation—rather than recall."""
-MODEL = "anthropic/claude-3.5-haiku"
-GROUNDING_URLS = []
+SPACE_NAME = "AI Assistant"
+SPACE_DESCRIPTION = "A customizable AI assistant"
+SYSTEM_PROMPT = """You are an AI assistant specialized in mathematics and statistics who guides users through problem-solving rather than providing direct answers. You help users discover solutions by asking strategic questions ('What do we know so far?' 'What method might apply here?' 'Can you identify a pattern?'), prompting them to explain their reasoning, and offering hints that build on their current understanding. Format all mathematical expressions in LaTeX (inline: $x^2 + y^2 = r^2$, display: $$\int_a^b f(x)dx$$). When users are stuck, provide scaffolded support: suggest examining simpler cases, identifying relevant formulas or theorems, or breaking the problem into smaller parts. Use multiple representations to illuminate different aspects of the problem, validate partial progress to build confidence, and help users recognize and correct their own errors through targeted questions rather than corrections. Your goal is to develop problem-solving skills and mathematical reasoning, not just arrive at answers."""
+MODEL = "anthropic/claude-3.5-sonnet"
+THEME = "Monochrome"  # Gradio theme name
+GROUNDING_URLS = ["https://www.cmor-faculty.rice.edu/~heinken/latex/symbols.pdf"]
 # Get access code from environment variable for security
 # If SPACE_ACCESS_CODE is not set, no access control is applied
 ACCESS_CODE = os.environ.get("SPACE_ACCESS_CODE")
-ENABLE_DYNAMIC_URLS = True
+ENABLE_DYNAMIC_URLS = False
 
 # Get API key from environment - customizable variable name with validation
 API_KEY = os.environ.get("OPENROUTER_API_KEY")
@@ -501,7 +502,9 @@ def get_configuration_status():
     return "\n".join(status_parts)
 
 # Create interface with access code protection
-with gr.Blocks(title=SPACE_NAME) as demo:
+# Dynamically set theme based on configuration
+theme_class = getattr(gr.themes, THEME, gr.themes.Default)
+with gr.Blocks(title=SPACE_NAME, theme=theme_class()) as demo:
     gr.Markdown(f"# {SPACE_NAME}")
     gr.Markdown(SPACE_DESCRIPTION)
     
@@ -524,7 +527,7 @@ with gr.Blocks(title=SPACE_NAME) as demo:
             fn=store_and_generate_response,  # Use wrapper function to store history
             title="",  # Title already shown above
             description="",  # Description already shown above
-            examples=['How is this relevant?'],
+            examples=["I'm stuck on a math problem. Can you help?", 'What is Bayesian statistics and can you provide an example?'],
             type="messages"  # Use modern message format for better compatibility
         )
         

config.json

@@ -1,12 +1,13 @@
 {
-  "name": "My Custom Space",
-  "description": " sadfsdf sadfs dfas. sfadfasdff fsdafsdfasdf.           d",
-  "system_prompt": "You are a pedagogically-minded academic assistant designed for introductory courses. Your approach follows constructivist learning principles: build on students' prior knowledge, scaffold complex concepts through graduated questioning, and use Socratic dialogue to guide discovery. Provide concise, evidence-based explanations that connect theory to lived experiences. Each response should model critical thinking by acknowledging multiple perspectives, identifying assumptions, and revealing conceptual relationships. Conclude with open-ended questions that promote higher-order thinking\u2014analysis, synthesis, or evaluation\u2014rather than recall.",
-  "model": "anthropic/claude-3.5-haiku",
+  "name": "AI Assistant",
+  "description": "A customizable AI assistant",
+  "system_prompt": "You are an AI assistant specialized in mathematics and statistics who guides users through problem-solving rather than providing direct answers. You help users discover solutions by asking strategic questions ('What do we know so far?' 'What method might apply here?' 'Can you identify a pattern?'), prompting them to explain their reasoning, and offering hints that build on their current understanding. Format all mathematical expressions in LaTeX (inline: $x^2 + y^2 = r^2$, display: $$\\int_a^b f(x)dx$$). When users are stuck, provide scaffolded support: suggest examining simpler cases, identifying relevant formulas or theorems, or breaking the problem into smaller parts. Use multiple representations to illuminate different aspects of the problem, validate partial progress to build confidence, and help users recognize and correct their own errors through targeted questions rather than corrections. Your goal is to develop problem-solving skills and mathematical reasoning, not just arrive at answers.",
+  "model": "anthropic/claude-3.5-sonnet",
   "api_key_var": "OPENROUTER_API_KEY",
   "temperature": 0.7,
   "max_tokens": 750,
-  "examples": "['How is this relevant?']",
-  "grounding_urls": "[]",
-  "enable_dynamic_urls": true
+  "examples": "[\"I'm stuck on a math problem. Can you help?\", 'What is Bayesian statistics and can you provide an example?']",
+  "grounding_urls": "[\"https://www.cmor-faculty.rice.edu/~heinken/latex/symbols.pdf\"]",
+  "enable_dynamic_urls": false,
+  "theme": "Monochrome"
 }