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README.md

@@ -1,5 +1,5 @@
 ---
-title: Socratic Llama
+title: Wikipedia Engine
 emoji: 🤖
 colorFrom: blue
 colorTo: red
@@ -9,7 +9,7 @@ app_file: app.py
 pinned: false
 ---
 
-# Socratic Llama
+# Wikipedia Engine
 
 
 
@@ -53,7 +53,7 @@ pinned: false
 
 ## Configuration
 
-- **Model**: nvidia/llama-3.1-nemotron-70b-instruct
-- **Temperature**: 0.9
-- **Max Tokens**: 1000
+- **Model**: openai/gpt-4o-mini-search-preview
+- **Temperature**: 0.7
+- **Max Tokens**: 750
 - **API Key Variable**: OPENROUTER_API_KEY

app.py

@@ -10,15 +10,14 @@ import urllib.parse
 
 
 # Configuration
-SPACE_NAME = "Socratic Llama"
+SPACE_NAME = "Wikipedia Engine"
 SPACE_DESCRIPTION = ""
-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 = "nvidia/llama-3.1-nemotron-70b-instruct"
-GROUNDING_URLS = []
+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/"]
 # Get access code from environment variable for security
 ACCESS_CODE = os.environ.get("SPACE_ACCESS_CODE", "")
-ENABLE_DYNAMIC_URLS = False
-# RAG functionality removed
+ENABLE_DYNAMIC_URLS = True
 
 # Get API key from environment - customizable variable name with validation
 API_KEY = os.environ.get("OPENROUTER_API_KEY")
@@ -174,31 +173,10 @@ def export_conversation_to_markdown(conversation_history):
     markdown_content = f"""# Conversation Export
 Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
 
-## Configuration Information
+---
 
-**Assistant Name:** Socratic Llama
-**Description:** 
-**Model:** {MODEL}
-**Temperature:** 0.9
-**Max Tokens:** 1000
-**API Key Variable:** OPENROUTER_API_KEY
 """
     
-    # Add URL grounding information
-    if GROUNDING_URLS:
-        markdown_content += f"\n**URL Grounding ({len(GROUNDING_URLS)} URLs):**\n"
-        for i, url in enumerate(GROUNDING_URLS, 1):
-            markdown_content += f"- URL {i}: {url}\n"
-    
-    # Add feature flags
-    if ENABLE_DYNAMIC_URLS:
-        markdown_content += f"\n**Dynamic URL Fetching:** Enabled\n"
-    
-    # Add system prompt
-    markdown_content += f"\n**System Prompt:**\n```\n{SYSTEM_PROMPT}\n```\n"
-    
-    markdown_content += "\n---\n\n"
-    
     message_pair_count = 0
     for i, message in enumerate(conversation_history):
         if isinstance(message, dict):
@@ -221,7 +199,6 @@ Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
     
     return markdown_content
 
-# RAG functionality removed
 
 def generate_response(message, history):
     """Generate response using OpenRouter API"""
@@ -241,8 +218,7 @@ def generate_response(message, history):
     # Get grounding context
     grounding_context = get_grounding_context()
     
-    # RAG functionality removed
-    
+        
     # If dynamic URLs are enabled, check message for URLs to fetch
     if ENABLE_DYNAMIC_URLS:
         urls_in_message = extract_urls_from_text(message)
@@ -294,8 +270,8 @@ def generate_response(message, history):
             json={
                 "model": MODEL,
                 "messages": messages,
-                "temperature": 0.9,
-                "max_tokens": 1000
+                "temperature": 0.7,
+                "max_tokens": 750
             },
             timeout=30
         )
@@ -489,8 +465,8 @@ def get_configuration_status():
         status_parts.append("❌ **API Key:** Not configured - Set `OPENROUTER_API_KEY` in Space secrets")
     
     status_parts.append(f"🤖 **Model:** {MODEL}")
-    status_parts.append(f"🌡️ **Temperature:** 0.9")
-    status_parts.append(f"📝 **Max Tokens:** 1000")
+    status_parts.append(f"🌡️ **Temperature:** 0.7")
+    status_parts.append(f"📝 **Max Tokens:** 750")
     
     if GROUNDING_URLS:
         status_parts.append(f"🔗 **URL Grounding:** {len(GROUNDING_URLS)} URLs configured")
@@ -533,7 +509,7 @@ 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=None,
+            examples=['Hello! How can you help me?', 'Tell me something interesting', 'What can you do?'],
             type="messages"  # Use modern message format for better compatibility
         )
         

config.json

@@ -1,13 +1,13 @@
 {
-  "name": "Socratic Llama",
+  "name": "Wikipedia Engine",
   "description": "",
-  "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": "nvidia/llama-3.1-nemotron-70b-instruct",
+  "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",
   "api_key_var": "OPENROUTER_API_KEY",
-  "temperature": 0.9,
-  "max_tokens": 1000,
-  "examples": "[\"Help me solve a problem?\", \"Where do I start with databases?\", \"Why is the unexamined life not worth living?\"]",
-  "grounding_urls": "[]",
+  "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": "",
-  "enable_dynamic_urls": false
+  "enable_dynamic_urls": true
 }