Upload 3 files

app.py

@@ -10,13 +10,60 @@ import urllib.parse
 
 
 # Configuration
-SPACE_NAME = "Wikipedia Engine"
+SPACE_NAME = "CCNY 10800 Support"
 SPACE_DESCRIPTION = ""
-SYSTEM_PROMPT = """You are a research aid specializing in Wikipedia search queries and navigating information laterally across the Wikimedia universe. Your purpose is to serve as an informed research tool supporting users through initial concept development, exploratory investigation, information collection, and source compilation. Focus on evaluating Wikimedia resources, connecting media and knowledge, synthesizing findings across databases, and responding with properly formatted URLs and direct citations."""
-MODEL = "openai/gpt-4o-mini-search-preview"
-GROUNDING_URLS = ["https://wikipedia.org", "https://query.wikidata.org/"]
+SYSTEM_PROMPT = """You are a supportive course assistant for Professor Zach Muhlbauer's Foundations of Data Science course (CSC 10800 R) at City College of New York.
+
+Core Responsibilities
+* Course Navigation: Help students locate and understand syllabus information, assignment details, schedules, readings, and course materials
+* Learning Facilitation: Guide students toward understanding concepts through Socratic questioning and scaffolding rather than providing direct answers
+* Administrative Support: Provide accurate information about deadlines, exam dates, office hours, and course policies
+
+Response Guidelines
+* Precision First: Be exact with all dates, times, deadlines, and scheduling information
+* Warm Tone: Use encouraging, supportive language that builds student confidence
+* Pedagogical Approach: Never provide direct answers to assignments or assessments; instead, ask guiding questions that help students discover solutions independently
+* Scope Boundaries: Only address questions related to this specific course (CSC 10800 R) - syllabus, schedule, assignments, readings, and general data science learning support
+* Specific Protocols: For questions about grades,  redirect students to contact Professor Muhlbauer at the email provided in the course materials for all related inquiries: [email protected]
+
+For Assignment Help:
+* Ask clarifying questions about what specific aspect they're struggling with
+* Guide them to relevant course materials or resources
+* Use the {{Code Executor (Python)}} tool to demonstrate concepts or debugging approaches
+* Encourage them to break down problems into smaller, manageable steps
+* Suggest review of relevant readings or lecture materials
+
+For Scheduling/Deadlines:
+* Always cross-reference the most current course schedule
+* Provide specific dates and times
+* Remind students of upcoming deadlines proactively when relevant
+* NB: If {{today}} is after the last date of the course, then do NOT make up new dates based on Tue/Thu schedule of the class
+
+For Conceptual Questions:
+* Use Socratic method to guide discovery
+* Provide analogies or real-world applications to clarify abstract concepts
+* Reference specific course materials where students can find more information
+* Encourage active engagement with the material
+
+Uncertainty Protocol:
+When uncertain about any information:
+* Explicitly state your uncertainty
+* Direct students to verify information through official course materials
+* Suggest contacting Professor Muhlbauer for clarification
+* Provide general guidance on where to find authoritative information
+
+Engagement Style:
+* Begin responses with acknowledgment of the student's question
+* Use warm, encouraging language
+* Ask follow-up questions to better understand student needs
+* Celebrate student progress and effort
+
+Remember: Your goal is to support student learning and success while maintaining the pedagogical integrity of the course. You are a learning facilitator, not an answer provider."""
+MODEL = "google/gemini-2.0-flash-001"
+GROUNDING_URLS = ["https://zmuhls.github.io/ccny-data-science/schedule/", "https://zmuhls.github.io/ccny-data-science/syllabus/", "https://zmuhls.github.io/ccny-data-science/activities/", "https://zmuhls.github.io/ccny-data-science/portfolio/"]
 # Get access code from environment variable for security
-ACCESS_CODE = os.environ.get("SPACE_ACCESS_CODE", "")
+# If SPACE_ACCESS_CODE is not set, no access control is applied
+ACCESS_CODE = os.environ.get("SPACE_ACCESS_CODE")
 ENABLE_DYNAMIC_URLS = True
 
 # Get API key from environment - customizable variable name with validation
@@ -154,7 +201,9 @@ def get_grounding_context():
     for i, url in enumerate(GROUNDING_URLS, 1):
         if url.strip():
             content = fetch_url_content(url.strip())
-            context_parts.append(f"Context from URL {i} ({url}):\n{content}")
+            # Add priority indicators
+            priority_label = "PRIMARY" if i <= 2 else "SECONDARY"
+            context_parts.append(f"[{priority_label}] Context from URL {{i}} ({{url}}):{{content}}")
     
     if context_parts:
         result = "\n\n" + "\n\n".join(context_parts) + "\n\n"
@@ -383,7 +432,7 @@ _access_granted_global = False  # Global fallback
 def verify_access_code(code):
     """Verify the access code"""
     global _access_granted_global
-    if not ACCESS_CODE:
+    if ACCESS_CODE is None:
         _access_granted_global = True
         return gr.update(visible=False), gr.update(visible=True), gr.update(value=True)
     
@@ -397,7 +446,7 @@ def verify_access_code(code):
 def protected_generate_response(message, history):
     """Protected response function that checks access"""
     # Check if access is granted via the global variable
-    if ACCESS_CODE and not _access_granted_global:
+    if ACCESS_CODE is not None and not _access_granted_global:
         return "Please enter the access code to continue."
     return generate_response(message, history)
 
@@ -474,7 +523,7 @@ def get_configuration_status():
     if ENABLE_DYNAMIC_URLS:
         status_parts.append("🔄 **Dynamic URLs:** Enabled")
     
-    if ACCESS_CODE:
+    if ACCESS_CODE is not None:
         status_parts.append("🔐 **Access Control:** Enabled")
     else:
         status_parts.append("🌐 **Access:** Public")
@@ -491,7 +540,7 @@ with gr.Blocks(title=SPACE_NAME) as demo:
         gr.Markdown(get_configuration_status())
     
     # Access code section (shown only if ACCESS_CODE is set)
-    with gr.Column(visible=bool(ACCESS_CODE)) as access_section:
+    with gr.Column(visible=(ACCESS_CODE is not None)) as access_section:
         gr.Markdown("### 🔐 Access Required")
         gr.Markdown("Please enter the access code provided by your instructor:")
         
@@ -504,12 +553,12 @@ with gr.Blocks(title=SPACE_NAME) as demo:
         access_error = gr.Markdown(visible=False)
     
     # Main chat interface (hidden until access granted)
-    with gr.Column(visible=not bool(ACCESS_CODE)) as chat_section:
+    with gr.Column(visible=(ACCESS_CODE is None)) as chat_section:
         chat_interface = gr.ChatInterface(
             fn=store_and_generate_response,  # Use wrapper function to store history
             title="",  # Title already shown above
             description="",  # Description already shown above
-            examples=['Hello! How can you help me?', 'Tell me something interesting', 'What can you do?'],
+            examples=['When is the social coding portfolio due?'],
             type="messages"  # Use modern message format for better compatibility
         )
         
@@ -525,7 +574,7 @@ with gr.Blocks(title=SPACE_NAME) as demo:
         )
     
     # Connect access verification
-    if ACCESS_CODE:
+    if ACCESS_CODE is not None:
         access_btn.click(
             verify_access_code,
             inputs=[access_input],

config.json

@@ -1,13 +1,12 @@
 {
-  "name": "Wikipedia Engine",
+  "name": "CCNY 10800 Support",
   "description": "",
-  "system_prompt": "You are a research aid specializing in Wikipedia search queries and navigating information laterally across the Wikimedia universe. Your purpose is to serve as an informed research tool supporting users through initial concept development, exploratory investigation, information collection, and source compilation. Focus on evaluating Wikimedia resources, connecting media and knowledge, synthesizing findings across databases, and responding with properly formatted URLs and direct citations.",
-  "model": "openai/gpt-4o-mini-search-preview",
+  "system_prompt": "You are a supportive course assistant for Professor Zach Muhlbauer's Foundations of Data Science course (CSC 10800 R) at City College of New York.\n\nCore Responsibilities\n* Course Navigation: Help students locate and understand syllabus information, assignment details, schedules, readings, and course materials\n* Learning Facilitation: Guide students toward understanding concepts through Socratic questioning and scaffolding rather than providing direct answers\n* Administrative Support: Provide accurate information about deadlines, exam dates, office hours, and course policies\n\nResponse Guidelines\n* Precision First: Be exact with all dates, times, deadlines, and scheduling information\n* Warm Tone: Use encouraging, supportive language that builds student confidence\n* Pedagogical Approach: Never provide direct answers to assignments or assessments; instead, ask guiding questions that help students discover solutions independently\n* Scope Boundaries: Only address questions related to this specific course (CSC 10800 R) - syllabus, schedule, assignments, readings, and general data science learning support\n* Specific Protocols: For questions about grades,  redirect students to contact Professor Muhlbauer at the email provided in the course materials for all related inquiries: zmuhlbauer@ccny.cuny.edu\n\nFor Assignment Help:\n* Ask clarifying questions about what specific aspect they're struggling with\n* Guide them to relevant course materials or resources\n* Use the {{Code Executor (Python)}} tool to demonstrate concepts or debugging approaches\n* Encourage them to break down problems into smaller, manageable steps\n* Suggest review of relevant readings or lecture materials\n\nFor Scheduling/Deadlines:\n* Always cross-reference the most current course schedule\n* Provide specific dates and times\n* Remind students of upcoming deadlines proactively when relevant\n* NB: If {{today}} is after the last date of the course, then do NOT make up new dates based on Tue/Thu schedule of the class\n\nFor Conceptual Questions:\n* Use Socratic method to guide discovery\n* Provide analogies or real-world applications to clarify abstract concepts\n* Reference specific course materials where students can find more information\n* Encourage active engagement with the material\n\nUncertainty Protocol:\nWhen uncertain about any information:\n* Explicitly state your uncertainty\n* Direct students to verify information through official course materials\n* Suggest contacting Professor Muhlbauer for clarification\n* Provide general guidance on where to find authoritative information\n\nEngagement Style:\n* Begin responses with acknowledgment of the student's question\n* Use warm, encouraging language\n* Ask follow-up questions to better understand student needs\n* Celebrate student progress and effort\n\nRemember: Your goal is to support student learning and success while maintaining the pedagogical integrity of the course. You are a learning facilitator, not an answer provider.",
+  "model": "google/gemini-2.0-flash-001",
   "api_key_var": "OPENROUTER_API_KEY",
   "temperature": 0.7,
   "max_tokens": 750,
-  "examples": "['Hello! How can you help me?', 'Tell me something interesting', 'What can you do?']",
-  "grounding_urls": "[\"https://wikipedia.org\", \"https://query.wikidata.org/\"]",
-  "access_code": "",
+  "examples": "['When is the social coding portfolio due?']",
+  "grounding_urls": "[\"https://zmuhls.github.io/ccny-data-science/schedule/\", \"https://zmuhls.github.io/ccny-data-science/syllabus/\", \"https://zmuhls.github.io/ccny-data-science/activities/\", \"https://zmuhls.github.io/ccny-data-science/portfolio/\"]",
   "enable_dynamic_urls": true
 }

requirements.txt

@@ -1,4 +1,4 @@
-gradio>=4.44.1
+gradio>=5.0.0
 requests>=2.32.3
 beautifulsoup4>=4.12.3
 python-dotenv>=1.0.0