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README.md

@@ -31,21 +31,15 @@ Python support for cultural analytics students
 5. This enables automatic configuration updates
 
 
-### Step 3: Set Access Code
-1. In Settings → Variables and secrets
-2. Add secret: `ACCESS_CODE`
-3. Set your chosen password
-4. Share with authorized users
-
 
 ### Step 3: Test Your Space
 Your Space should now be running! Try the example prompts or ask your own questions.
 
 ## Configuration
-- **Model**: openai/gpt-4o-mini
+- **Model**: openai/gpt-oss-120b
 - **API Key Variable**: API_KEY
 - **HF Token Variable**: HF_TOKEN (for auto-updates)
-- **Access Control**: Enabled (ACCESS_CODE)
+- **Access**: Public
 
 ## Support
 For help, visit the HuggingFace documentation or community forums.

app.py

@@ -22,7 +22,7 @@ DEFAULT_CONFIG = {
     '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-4o-mini',
+    'model': 'openai/gpt-oss-120b',
     'api_key_var': 'API_KEY',
     'theme': 'Default',
     'grounding_urls': ["https://zmuhls.github.io/ccny-data-science/syllabus/", "https://zmuhls.github.io/ccny-data-science/schedule/"],

config.json

@@ -3,7 +3,7 @@
   "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-4o-mini",
+  "model": "openai/gpt-oss-120b",
   "language": "English",
   "api_key_var": "API_KEY",
   "temperature": 0.5,