Upload 3 files

README.md

@@ -1,19 +1,19 @@
 ---
-title: Course Assistant Example
+title: STEM Adventure Games
 emoji: 💬
 colorFrom: blue
 colorTo: green
 sdk: gradio
-sdk_version: 5.42.0
+sdk_version: 5.39.0
 app_file: app.py
 pinned: false
 license: mit
-short_description: Python support for cultural analytics students
+short_description: Interactive STEM adventure game guide
 ---
 
-# Course Assistant Example
+# STEM Adventure Games
 
-Python support for cultural analytics students
+Interactive STEM adventure game guide
 
 ## Quick Setup
 
@@ -42,7 +42,7 @@ Python support for cultural analytics students
 Your Space should now be running! Try the example prompts or ask your own questions.
 
 ## Configuration
-- **Model**: openai/gpt-oss-120b
+- **Model**: qwen/qwen3-30b-a3b-instruct-2507
 - **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 = 'Course Assistant Example'
-SPACE_DESCRIPTION = 'Python support for cultural analytics students'
+SPACE_NAME = 'STEM Adventure Games'
+SPACE_DESCRIPTION = 'Interactive STEM adventure game guide'
 
 # Default configuration values
 DEFAULT_CONFIG = {
     'name': SPACE_NAME,
     'description': SPACE_DESCRIPTION,
-    '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',
+    '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',
     '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/"],
+    'theme': 'Base',
+    'grounding_urls': ["https://en.wikipedia.org/wiki/List_of_experiments", "https://en.wikipedia.org/wiki/Scientific_method"],
     'enable_dynamic_urls': True,
     'enable_file_upload': True,
-    '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"],
+    'examples': ['Initiate adventure!', 'How do I play?', "What's the meaning of this?"],
     'language': 'English',
     'locked': False
 }
@@ -329,18 +329,17 @@ def get_grounding_context() -> str:
     return ""
 
 
-def export_conversation_to_text(history: List[Dict[str, str]]) -> str:
-    """Export conversation history to text with timestamps"""
+def export_conversation_to_markdown(history: List[Dict[str, str]]) -> str:
+    """Export conversation history to markdown"""
     if not history:
         return "No conversation to export."
     
-    text_content = f"""Conversation Export
-==================
+    markdown_content = f"""# Conversation Export
 Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
 Space: {SPACE_NAME}
 Model: {MODEL}
 
-==================
+---
 
 """
     
@@ -350,28 +349,13 @@ Model: {MODEL}
             role = message.get('role', 'unknown')
             content = message.get('content', '')
             
-            # Get timestamp from message or use current time as fallback
-            timestamp_str = message.get('timestamp', '')
-            if timestamp_str:
-                try:
-                    # Parse ISO format timestamp and format it nicely
-                    timestamp = datetime.fromisoformat(timestamp_str)
-                    formatted_timestamp = timestamp.strftime('%Y-%m-%d %H:%M:%S')
-                except:
-                    formatted_timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
-            else:
-                formatted_timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
-            
-            # Get message length
-            msg_length = message.get('length', len(content))
-            
             if role == 'user':
                 message_count += 1
-                text_content += f"[{formatted_timestamp}] User Message {message_count} ({msg_length} chars):\n{content}\n\n"
+                markdown_content += f"## User Message {message_count}\n\n{content}\n\n"
             elif role == 'assistant':
-                text_content += f"[{formatted_timestamp}] Assistant Response {message_count} ({msg_length} chars):\n{content}\n\n------------------\n\n"
+                markdown_content += f"## Assistant Response {message_count}\n\n{content}\n\n---\n\n"
     
-    return text_content
+    return markdown_content
 
 
 def generate_response(message: str, history: List[Dict[str, str]], files: Optional[List] = None) -> str:
@@ -439,7 +423,7 @@ Get your API key at: https://openrouter.ai/keys"""
         system_content += f"\n\nIMPORTANT: You must respond EXCLUSIVELY in {LANGUAGE}. All your responses should be written entirely in {LANGUAGE}, even when user input is in a different language, particularly English."
     
     if grounding_context:
-        system_content += "\n\nIMPORTANT: When providing information from the reference sources below, please cite the specific URL(s) where the information can be found. Format citations as plain URLs without brackets, or use markdown link format like [text](url). Never use hard brackets like 【url】 as they break the links."
+        system_content += "\n\nIMPORTANT: When providing information from the reference sources below, please cite the specific URL(s) where the information can be found."
         system_content = f"{system_content}\n\n{grounding_context}"
     if file_context:
         system_content = f"{system_content}\n\n{file_context}"
@@ -592,11 +576,7 @@ def create_interface():
                     
                     # Create chat interface
                     chatbot = gr.Chatbot(type="messages", height=400)
-                    msg = gr.Textbox(
-                        label="Message (Shift+Enter to send)", 
-                        placeholder="Type your message here...",
-                        lines=2
-                    )
+                    msg = gr.Textbox(label="Message", placeholder="Type your message here...", lines=2)
                     
                     with gr.Row():
                         submit_btn = gr.Button("Send", variant="primary")
@@ -604,46 +584,33 @@ def create_interface():
                     
                     # Export functionality
                     with gr.Row():
-                        # Use a regular Button for triggering export
-                        export_trigger_btn = gr.Button(
+                        export_btn = gr.DownloadButton(
                             "📥 Export Conversation",
                             variant="secondary",
                             size="sm"
                         )
-                        # Hidden file component for actual download
-                        export_file = gr.File(
-                            visible=False,
-                            label="Download Export"
-                        )
                     
                     # Export handler
-                    def prepare_export(chat_history):
-                        if not chat_history:
-                            gr.Warning("No conversation history to export.")
+                    def prepare_export():
+                        if not chat_history_store:
                             return None
                         
-                        try:
-                            content = export_conversation_to_text(chat_history)
-                            
-                            # Create filename
-                            space_name_safe = re.sub(r'[^a-zA-Z0-9]+', '_', SPACE_NAME).lower()
-                            timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
-                            filename = f"{space_name_safe}_conversation_{timestamp}.txt"
-                            
-                            # Save to temp file
-                            temp_path = Path(tempfile.gettempdir()) / filename
-                            temp_path.write_text(content, encoding='utf-8')
-                            
-                            # Return the file component with visibility and value
-                            return gr.File(visible=True, value=str(temp_path))
-                        except Exception as e:
-                            gr.Error(f"Failed to export conversation: {str(e)}")
-                            return None
+                        content = export_conversation_to_markdown(chat_history_store)
+                        
+                        # Create filename
+                        space_name_safe = re.sub(r'[^a-zA-Z0-9]+', '_', SPACE_NAME).lower()
+                        timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+                        filename = f"{space_name_safe}_conversation_{timestamp}.md"
+                        
+                        # Save to temp file
+                        temp_path = Path(tempfile.gettempdir()) / filename
+                        temp_path.write_text(content, encoding='utf-8')
+                        
+                        return str(temp_path)
                     
-                    export_trigger_btn.click(
+                    export_btn.click(
                         prepare_export,
-                        inputs=[chatbot],
-                        outputs=[export_file]
+                        outputs=[export_btn]
                     )
                     
                     # Examples section
@@ -667,13 +634,10 @@ def create_interface():
                         # Get response
                         response = generate_response(message, formatted_history, files_state)
                         
-                        # Get current timestamp
-                        current_time = datetime.now()
-                        
-                        # Update chat history with timestamps and message lengths
+                        # Update chat history
                         chat_history = chat_history + [
-                            {"role": "user", "content": message, "timestamp": current_time.isoformat(), "length": len(message)},
-                            {"role": "assistant", "content": response, "timestamp": current_time.isoformat(), "length": len(response)}
+                            {"role": "user", "content": message},
+                            {"role": "assistant", "content": response}
                         ]
                         
                         # Update stored history for export
@@ -685,13 +649,7 @@ def create_interface():
                     # Wire up the interface
                     msg.submit(respond, [msg, chatbot, uploaded_files, access_granted], [chatbot, msg, access_granted])
                     submit_btn.click(respond, [msg, chatbot, uploaded_files, access_granted], [chatbot, msg, access_granted])
-                    
-                    def clear_chat():
-                        global chat_history_store
-                        chat_history_store = []
-                        return [], ""
-                    
-                    clear_btn.click(clear_chat, outputs=[chatbot, msg])
+                    clear_btn.click(lambda: ([], ""), outputs=[chatbot, msg])
                     
                     # File upload accordion
                     if ENABLE_FILE_UPLOAD:
@@ -804,9 +762,8 @@ def create_interface():
                                 "anthropic/claude-3.5-sonnet",
                                 "anthropic/claude-3.5-haiku",
                                 # OpenAI models
-                                "openai/gpt-4o-mini",
                                 "openai/gpt-4o-mini-search-preview",
-                                "openai/gpt-oss-120b",
+                                "openai/gpt-4.1-nano",
                                 # MistralAI models
                                 "mistralai/mistral-medium-3",
                                 # DeepSeek models
@@ -1061,41 +1018,6 @@ def create_interface():
                 inputs=[access_input, access_granted],
                 outputs=[access_panel, main_panel, access_status, access_granted]
             )
-        
-        
-        # Add keyboard shortcuts
-        demo.load(
-            None,
-            None,
-            None,
-            js="""
-            () => {
-                // Focus on message input when page loads
-                setTimeout(() => {
-                    const msgInput = document.querySelector('textarea');
-                    if (msgInput) msgInput.focus();
-                }, 100);
-                
-                // Keyboard shortcuts
-                document.addEventListener('keydown', function(e) {
-                    // Ctrl+L to clear chat
-                    if (e.ctrlKey && e.key === 'l') {
-                        e.preventDefault();
-                        const buttons = Array.from(document.querySelectorAll('button'));
-                        const clearBtn = buttons.find(btn => btn.textContent.includes('Clear'));
-                        if (clearBtn) clearBtn.click();
-                    }
-                    // Ctrl+E to export
-                    else if (e.ctrlKey && e.key === 'e') {
-                        e.preventDefault();
-                        const buttons = Array.from(document.querySelectorAll('button'));
-                        const exportBtn = buttons.find(btn => btn.textContent.includes('Export'));
-                        if (exportBtn) exportBtn.click();
-                    }
-                });
-            }
-            """
-        )
     
     return demo
 

config.json

@@ -1,25 +1,23 @@
 {
-  "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",
+  "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",
   "language": "English",
   "api_key_var": "API_KEY",
-  "temperature": 0.5,
-  "max_tokens": 1000,
+  "temperature": 0.9,
+  "max_tokens": 750,
   "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"
+    "Initiate adventure!",
+    "How do I play?",
+    "What's the meaning of this?"
   ],
   "grounding_urls": [
-    "https://zmuhls.github.io/ccny-data-science/syllabus/",
-    "https://zmuhls.github.io/ccny-data-science/schedule/"
+    "https://en.wikipedia.org/wiki/List_of_experiments",
+    "https://en.wikipedia.org/wiki/Scientific_method"
   ],
   "enable_dynamic_urls": true,
   "enable_file_upload": true,
-  "theme": "Default"
+  "theme": "Base"
 }