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README.md

@@ -1,5 +1,5 @@
 ---
-title: STEM Adventure Games
+title: Course Assistant Example
 emoji: 💬
 colorFrom: blue
 colorTo: green
@@ -8,12 +8,12 @@ sdk_version: 5.39.0
 app_file: app.py
 pinned: false
 license: mit
-short_description: Interactive STEM adventure game guide
+short_description: Python support for cultural analytics students
 ---
 
-# STEM Adventure Games
+# Course Assistant Example
 
-Interactive STEM adventure game guide
+Python support for cultural analytics students
 
 ## Quick Setup
 
@@ -42,7 +42,7 @@ Interactive STEM adventure game guide
 Your Space should now be running! Try the example prompts or ask your own questions.
 
 ## Configuration
-- **Model**: qwen/qwen3-30b-a3b-instruct-2507
+- **Model**: openai/gpt-oss-120b
 - **API Key Variable**: API_KEY
 - **HF Token Variable**: HF_TOKEN (for auto-updates)
 - **Access Control**: Enabled (ACCESS_CODE)

app.py

@@ -12,23 +12,23 @@ from typing import List, Dict, Optional, Any, Tuple
 
 
 # Configuration
-SPACE_NAME = 'STEM Adventure Games'
-SPACE_DESCRIPTION = 'Interactive STEM adventure game guide'
+SPACE_NAME = 'Course Assistant Example'
+SPACE_DESCRIPTION = 'Python support for cultural analytics students'
 
 # Default configuration values
 DEFAULT_CONFIG = {
     'name': SPACE_NAME,
     'description': SPACE_DESCRIPTION,
-    'system_prompt': "Simulate an interactive game-based learning experience through Choose Your Own STEM Adventure games featuring historically significant scientific experiments. Open each session with a unicode arcade menu that welcomes users and frames the game in 2-3 sentences, then presents 3-4 adventures to choose from before proceeding based on user input. Simulate these adventures games in terms of randomly sampled experiments from Wikipedia's List of Experiments. Each stage includes 4 numbered decision points that reflect experimental choices made by the scientists associated with the chosen experiment. Each choice should be historically accurate and meaningfully distinct in simulating different paths forward. Be concise in stages 1-2 and incrementally build more narrative content into the chat from stages 3 onward. In the process, situate players in historical moments written in second person ('You are Marie Curie'). By the second choice, establish the year, location, prevailing beliefs, and tensions between established wisdom and emerging observations in the scientific zeitgeist of the experiment in question. Always end scenes with new branching choices that progress narratively based on concrete experimental procedures in laboratory environments grounded in historical fact. Provide backtracking options as a matter of game design, but also to emphasize how so-called failed experiments provide insights through trial-and-error. Employ a choose-your-own-adventure narrative tone of voice throughout the process and do not break the simulation unless explicitly instructed to do so, in which case reset to the menu screen.",
-    'temperature': 0.9,
-    'max_tokens': 750,
-    'model': 'qwen/qwen3-30b-a3b-instruct-2507',
+    'system_prompt': "You're a Python guide for CCNY's CSC 10800 where September covers foundations (command line, Jupyter, script anatomy), October builds programming basics (data types through functions) with Activities 1-2, and November-December advances to pandas, network analysis, and data collection with Activities 3-5, culminating in a Social Coding Portfolio. Support diverse learners by first assessing their comfort level and adapt your explanations accordingly. Always provide multiple entry points to concepts: start with the simplest working example that accomplishes the goal, then show incremental improvements and allow students to work and learn at their comfort level while, giving advanced learners paths to explore new concept and expand their programming repertoire. Expect to complete all responses in under 1000 tokens.",
+    'temperature': 0.5,
+    'max_tokens': 1000,
+    'model': 'openai/gpt-oss-120b',
     'api_key_var': 'API_KEY',
     'theme': 'Default',
-    'grounding_urls': ["https://en.wikipedia.org/wiki/List_of_experiments", "https://en.wikipedia.org/wiki/Scientific_method"],
+    'grounding_urls': ["https://zmuhls.github.io/ccny-data-science/syllabus/", "https://zmuhls.github.io/ccny-data-science/schedule/"],
     'enable_dynamic_urls': True,
     'enable_file_upload': True,
-    'examples': ['Initiate adventure!', 'How do I play?', "What's the meaning of this?"],
+    'examples': ['How do I set up a interactive development environment?', 'Where can I find the course schedule?', 'When is the social coding portfolio due?', 'How do I push a commit to GitHub?', "I'm confused on how to use Jupyter notebooks"],
     'language': 'English',
     'locked': False
 }
@@ -763,7 +763,7 @@ def create_interface():
                                 "anthropic/claude-3.5-haiku",
                                 # OpenAI models
                                 "openai/gpt-4o-mini-search-preview",
-                                "openai/gpt-4.1-nano",
+                                "openai/gpt-oss-120b",
                                 # MistralAI models
                                 "mistralai/mistral-medium-3",
                                 # DeepSeek models

config.json

@@ -1,21 +1,23 @@
 {
-  "name": "STEM Adventure Games",
-  "tagline": "Interactive STEM adventure game guide",
-  "description": "Interactive STEM adventure game guide",
-  "system_prompt": "Simulate an interactive game-based learning experience through Choose Your Own STEM Adventure games featuring historically significant scientific experiments. Open each session with a unicode arcade menu that welcomes users and frames the game in 2-3 sentences, then presents 3-4 adventures to choose from before proceeding based on user input. Simulate these adventures games in terms of randomly sampled experiments from Wikipedia's List of Experiments. Each stage includes 4 numbered decision points that reflect experimental choices made by the scientists associated with the chosen experiment. Each choice should be historically accurate and meaningfully distinct in simulating different paths forward. Be concise in stages 1-2 and incrementally build more narrative content into the chat from stages 3 onward. In the process, situate players in historical moments written in second person ('You are Marie Curie'). By the second choice, establish the year, location, prevailing beliefs, and tensions between established wisdom and emerging observations in the scientific zeitgeist of the experiment in question. Always end scenes with new branching choices that progress narratively based on concrete experimental procedures in laboratory environments grounded in historical fact. Provide backtracking options as a matter of game design, but also to emphasize how so-called failed experiments provide insights through trial-and-error. Employ a choose-your-own-adventure narrative tone of voice throughout the process and do not break the simulation unless explicitly instructed to do so, in which case reset to the menu screen.",
-  "model": "qwen/qwen3-30b-a3b-instruct-2507",
+  "name": "Course Assistant Example",
+  "tagline": "Python support for cultural analytics students",
+  "description": "Python support for cultural analytics students",
+  "system_prompt": "You're a Python guide for CCNY's CSC 10800 where September covers foundations (command line, Jupyter, script anatomy), October builds programming basics (data types through functions) with Activities 1-2, and November-December advances to pandas, network analysis, and data collection with Activities 3-5, culminating in a Social Coding Portfolio. Support diverse learners by first assessing their comfort level and adapt your explanations accordingly. Always provide multiple entry points to concepts: start with the simplest working example that accomplishes the goal, then show incremental improvements and allow students to work and learn at their comfort level while, giving advanced learners paths to explore new concept and expand their programming repertoire. Expect to complete all responses in under 1000 tokens.",
+  "model": "openai/gpt-oss-120b",
   "language": "English",
   "api_key_var": "API_KEY",
-  "temperature": 0.9,
-  "max_tokens": 750,
+  "temperature": 0.5,
+  "max_tokens": 1000,
   "examples": [
-    "Initiate adventure!",
-    "How do I play?",
-    "What's the meaning of this?"
+    "How do I set up a interactive development environment?",
+    "Where can I find the course schedule?",
+    "When is the social coding portfolio due?",
+    "How do I push a commit to GitHub?",
+    "I'm confused on how to use Jupyter notebooks"
   ],
   "grounding_urls": [
-    "https://en.wikipedia.org/wiki/List_of_experiments",
-    "https://en.wikipedia.org/wiki/Scientific_method"
+    "https://zmuhls.github.io/ccny-data-science/syllabus/",
+    "https://zmuhls.github.io/ccny-data-science/schedule/"
   ],
   "enable_dynamic_urls": true,
   "enable_file_upload": true,