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import gradio as gr
import tempfile
import os
import requests
import json
import re
from bs4 import BeautifulSoup
from datetime import datetime
import urllib.parse
# Configuration
SPACE_NAME = 'AI Assistant'
SPACE_DESCRIPTION = 'A customizable AI assistant'
# Default configuration values (used only if config.json is missing)
DEFAULT_CONFIG = {
'name': SPACE_NAME,
'description': SPACE_DESCRIPTION,
'system_prompt': "You are a Socratic conversation partner for students in general education courses across all disciplines with strengths in the pebble-in-the-pond learning model, responsive teaching, and constructivist learning principles. Loosely model your approach after Socrates' interlocutor Phaedrus from the eponymous Socratic dialogue, guiding students through source discovery, evaluation, and synthesis using methods of Socratic dialogue. Ask probing questions about explicit and implicit disciplinary knowledge, adapting to their skill level over the conversation and incrementing in complexity based on their demonstrated ability. Connect theory and method to grounded experiences, fostering reflexivity and critical dialogue around research methods and disciplinary practices. Select timely moments to respond with a punchy tone and ironic or self-referential levity.",
'temperature': 0.7,
'max_tokens': 750,
'model': 'google/gemini-2.0-flash-001',
'api_key_var': 'API_KEY',
'theme': 'Monochrome',
'grounding_urls': '["https://classics.mit.edu/Plato/phaedrus.1b.txt", "https://plato.stanford.edu/entries/plato-rhetoric/#Pha", "https://plato.stanford.edu/entries/plato-myths/", "https://en.wikipedia.org/wiki/Socratic_method", "https://en.wikipedia.org/wiki/Research_methodology", "https://en.wikipedia.org/wiki/Academic_research", "https://www.reddit.com/r/askphilosophy/comments/m6u36v/can_someone_go_over_the_socratic_method_and_give/", "https://www.reddit.com/r/askphilosophy/comments/k5td4z/is_socratic_method_the_best_way_to_change/"]',
'enable_dynamic_urls': True,
'examples': ['Can you help me understand why the sky is blue?', 'What makes democracy different from other forms of government?', 'How does the Socratic method apply to modern education?'],
'locked': False
}
# Load configuration from file - this is the single source of truth
def load_config():
"""Load configuration from config.json with fallback to defaults"""
try:
with open('config.json', 'r') as f:
config = json.load(f)
print("β
Loaded configuration from config.json")
return config
except FileNotFoundError:
print("βΉοΈ No config.json found, using default configuration")
# Save default config for future use
try:
with open('config.json', 'w') as f:
json.dump(DEFAULT_CONFIG, f, indent=2)
print("β
Created config.json with default values")
except:
pass
return DEFAULT_CONFIG
except Exception as e:
print(f"β οΈ Error loading config.json: {e}, using defaults")
return DEFAULT_CONFIG
# Load configuration
config = load_config()
# Initial load of configuration values
SPACE_NAME = config.get('name', DEFAULT_CONFIG['name'])
SPACE_DESCRIPTION = config.get('description', DEFAULT_CONFIG['description'])
SYSTEM_PROMPT = config.get('system_prompt', DEFAULT_CONFIG['system_prompt'])
temperature = config.get('temperature', DEFAULT_CONFIG['temperature'])
max_tokens = config.get('max_tokens', DEFAULT_CONFIG['max_tokens'])
MODEL = config.get('model', DEFAULT_CONFIG['model'])
THEME = config.get('theme', DEFAULT_CONFIG['theme'])
GROUNDING_URLS = config.get('grounding_urls', DEFAULT_CONFIG['grounding_urls'])
ENABLE_DYNAMIC_URLS = config.get('enable_dynamic_urls', DEFAULT_CONFIG['enable_dynamic_urls'])
# Get access code from environment variable for security
# If ACCESS_CODE is not set, no access control is applied
ACCESS_CODE = os.environ.get("ACCESS_CODE")
# Get API key from environment - customizable variable name with validation
API_KEY_VAR = config.get('api_key_var', DEFAULT_CONFIG['api_key_var'])
API_KEY = os.environ.get(API_KEY_VAR)
if API_KEY:
API_KEY = API_KEY.strip() # Remove any whitespace
if not API_KEY: # Check if empty after stripping
API_KEY = None
# API Key validation and logging
def validate_api_key():
"""Validate API key configuration with detailed logging"""
if not API_KEY:
print(f"β οΈ API KEY CONFIGURATION ERROR:")
print(f" Variable name: {API_KEY_VAR}")
print(f" Status: Not set or empty")
print(f" Action needed: Set '{API_KEY_VAR}' in HuggingFace Space secrets")
print(f" Expected format: sk-or-xxxxxxxxxx")
return False
elif not API_KEY.startswith('sk-or-'):
print(f"β οΈ API KEY FORMAT WARNING:")
print(f" Variable name: {API_KEY_VAR}")
print(f" Current value: {API_KEY[:10]}..." if len(API_KEY) > 10 else "{API_KEY}")
print(f" Expected format: sk-or-xxxxxxxxxx")
print(f" Note: OpenRouter keys should start with 'sk-or-'")
return True # Still try to use it
else:
print(f"β
API Key configured successfully")
print(f" Variable: {API_KEY_VAR}")
print(f" Format: Valid OpenRouter key")
return True
# Validate on startup
try:
API_KEY_VALID = validate_api_key()
except NameError:
# During template generation, API_KEY might not be defined yet
API_KEY_VALID = False
def validate_url_domain(url):
"""Basic URL domain validation"""
try:
from urllib.parse import urlparse
parsed = urlparse(url)
# Check for valid domain structure
if parsed.netloc and '.' in parsed.netloc:
return True
except:
pass
return False
def fetch_url_content(url):
"""Enhanced URL content fetching with improved compatibility and error handling"""
if not validate_url_domain(url):
return f"Invalid URL format: {url}"
try:
# Enhanced headers for better compatibility
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
'Accept-Language': 'en-US,en;q=0.5',
'Accept-Encoding': 'gzip, deflate',
'Connection': 'keep-alive'
}
response = requests.get(url, timeout=15, headers=headers)
response.raise_for_status()
soup = BeautifulSoup(response.content, 'html.parser')
# Enhanced content cleaning
for element in soup(["script", "style", "nav", "header", "footer", "aside", "form", "button"]):
element.decompose()
# Extract main content preferentially
main_content = soup.find('main') or soup.find('article') or soup.find('div', class_=lambda x: bool(x and 'content' in x.lower())) or soup
text = main_content.get_text()
# Enhanced text cleaning
lines = (line.strip() for line in text.splitlines())
chunks = (phrase.strip() for line in lines for phrase in line.split(" "))
text = ' '.join(chunk for chunk in chunks if chunk and len(chunk) > 2)
# Smart truncation - try to end at sentence boundaries
if len(text) > 4000:
truncated_text = text[:4000]
# Try to find the last complete sentence
last_period = truncated_text.rfind('.')
if last_period > 3500: # Only if we have a reasonably long truncation
text = truncated_text[:last_period + 1]
else:
text = truncated_text + "..."
return text if text.strip() else "No readable content found at this URL"
except requests.exceptions.Timeout:
return f"Timeout error fetching {url} (15s limit exceeded)"
except requests.exceptions.RequestException as e:
return f"Error fetching {url}: {str(e)}"
except Exception as e:
return f"Error processing content from {url}: {str(e)}"
def extract_urls_from_text(text):
"""Extract URLs from text using regex with enhanced validation"""
url_pattern = r'https?://[^\s<>"{}|\\^`\[\]"]+'
urls = re.findall(url_pattern, text)
# Basic URL validation and cleanup
validated_urls = []
for url in urls:
# Remove trailing punctuation that might be captured
url = url.rstrip('.,!?;:')
# Basic domain validation
if '.' in url and len(url) > 10:
validated_urls.append(url)
return validated_urls
# Global cache for URL content to avoid re-crawling in generated spaces
_url_content_cache = {}
def get_grounding_context():
"""Fetch context from grounding URLs with caching"""
# Handle both string and list formats for grounding_urls
urls = GROUNDING_URLS
if isinstance(urls, str):
try:
urls = json.loads(urls)
except:
urls = []
if not urls:
return ""
# Create cache key from URLs
cache_key = tuple(sorted([url for url in urls if url and url.strip()]))
# Check cache first
if cache_key in _url_content_cache:
return _url_content_cache[cache_key]
context_parts = []
for i, url in enumerate(urls, 1):
if url.strip():
content = fetch_url_content(url.strip())
# Add priority indicators
priority_label = "PRIMARY" if i <= 2 else "SECONDARY"
context_parts.append(f"[{priority_label}] Context from URL {i} ({url}):\n{content}")
if context_parts:
result = "\n\n" + "\n\n".join(context_parts) + "\n\n"
else:
result = ""
# Cache the result
_url_content_cache[cache_key] = result
return result
def export_conversation_to_markdown(conversation_history):
"""Export conversation history to markdown format"""
if not conversation_history:
return "No conversation to export."
markdown_content = f"""# Conversation Export
Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
---
"""
message_pair_count = 0
for i, message in enumerate(conversation_history):
if isinstance(message, dict):
role = message.get('role', 'unknown')
content = message.get('content', '')
if role == 'user':
message_pair_count += 1
markdown_content += f"## User Message {message_pair_count}\n\n{content}\n\n"
elif role == 'assistant':
markdown_content += f"## Assistant Response {message_pair_count}\n\n{content}\n\n---\n\n"
elif isinstance(message, (list, tuple)) and len(message) >= 2:
# Handle legacy tuple format: ["user msg", "assistant msg"]
message_pair_count += 1
user_msg, assistant_msg = message[0], message[1]
if user_msg:
markdown_content += f"## User Message {message_pair_count}\n\n{user_msg}\n\n"
if assistant_msg:
markdown_content += f"## Assistant Response {message_pair_count}\n\n{assistant_msg}\n\n---\n\n"
return markdown_content
def generate_response(message, history):
"""Generate response using OpenRouter API"""
# Enhanced API key validation with helpful messages
if not API_KEY:
error_msg = f"π **API Key Required**\n\n"
error_msg += f"Please configure your OpenRouter API key:\n"
error_msg += f"1. Go to Settings (βοΈ) in your HuggingFace Space\n"
error_msg += f"2. Click 'Variables and secrets'\n"
error_msg += f"3. Add secret: **{API_KEY_VAR}**\n"
error_msg += f"4. Value: Your OpenRouter API key (starts with `sk-or-`)\n\n"
error_msg += f"Get your API key at: https://openrouter.ai/keys"
print(f"β API request failed: No API key configured for {API_KEY_VAR}")
return error_msg
# Get grounding context
grounding_context = get_grounding_context()
# Process uploaded files if any
file_context = ""
if files:
file_contents = []
for file_obj in files:
if file_obj is not None:
try:
file_content = extract_file_content(file_obj.name)
file_contents.append(file_content)
except Exception as e:
file_contents.append(f"Error processing file: {str(e)}")
if file_contents:
file_context = "\n\n[UPLOADED FILES]\n" + "\n\n".join(file_contents) + "\n"
# If dynamic URLs are enabled, check message for URLs to fetch
if ENABLE_DYNAMIC_URLS:
urls_in_message = extract_urls_from_text(message)
if urls_in_message:
dynamic_context = ""
for url in urls_in_message[:3]: # Limit to 3 URLs per message
content = fetch_url_content(url)
dynamic_context += f"\n\n[DYNAMIC] Context from {url}:\n{content}"
grounding_context += dynamic_context
# Build enhanced system prompt with grounding context and file content
enhanced_system_prompt = SYSTEM_PROMPT + grounding_context + file_context
# Build messages array for the API
messages = [{"role": "system", "content": enhanced_system_prompt}]
# Add conversation history - handle both modern messages format and legacy tuples
for chat in history:
if isinstance(chat, dict):
messages.append(chat)
elif isinstance(chat, (list, tuple)) and len(chat) >= 2:
messages.append({"role": "user", "content": chat[0]})
messages.append({"role": "assistant", "content": chat[1]})
# Add current message
messages.append({"role": "user", "content": message})
# Make API request with enhanced error handling
try:
print(f"π Making API request to OpenRouter...")
print(f" Model: {MODEL}")
print(f" Messages: {len(messages)} in conversation")
response = requests.post(
url="https://openrouter.ai/api/v1/chat/completions",
headers={
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
"HTTP-Referer": "https://huggingface.co",
"X-Title": "HuggingFace Space"
},
json={
"model": MODEL,
"messages": messages,
"temperature": temperature,
"max_tokens": max_tokens
},
timeout=30
)
print(f"π‘ API Response: {response.status_code}")
if response.status_code == 200:
try:
result = response.json()
return result['choices'][0]['message']['content']
except (KeyError, IndexError, json.JSONDecodeError) as e:
error_msg = f"β **Response Parsing Error**\n\n"
error_msg += f"Received response from API but couldn't parse it properly.\n"
error_msg += f"Error: {str(e)}\n\n"
error_msg += f"**Troubleshooting:**\n"
error_msg += f"1. Check OpenRouter service status\n"
error_msg += f"2. Try again in a few moments\n"
error_msg += f"3. Try a different model if available"
print(f"β Response parsing error: {str(e)}")
return error_msg
elif response.status_code == 401:
error_msg = f"π **Authentication Error**\n\n"
error_msg += f"Your API key appears to be invalid or expired.\n\n"
error_msg += f"**Troubleshooting:**\n"
error_msg += f"1. Check that your **{API_KEY_VAR}** secret is set correctly\n"
error_msg += f"2. Verify your OpenRouter API key at https://openrouter.ai/keys\n"
error_msg += f"3. Make sure the key starts with `sk-or-`\n"
error_msg += f"4. Check if you have sufficient credits"
print(f"β Authentication failed: Invalid API key")
return error_msg
elif response.status_code == 429:
error_msg = f"β±οΈ **Rate Limit Exceeded**\n\n"
error_msg += f"Too many requests. Please wait a moment and try again.\n\n"
error_msg += f"**Troubleshooting:**\n"
error_msg += f"1. Wait 30-60 seconds before trying again\n"
error_msg += f"2. Check your OpenRouter usage limits\n"
error_msg += f"3. Consider upgrading your OpenRouter plan"
print(f"β Rate limit exceeded")
return error_msg
elif response.status_code == 400:
error_msg = f"π **Request Error**\n\n"
error_msg += f"There was a problem with the request format.\n"
error_msg += f"Response: {response.text[:500]}\n\n"
error_msg += f"**Troubleshooting:**\n"
error_msg += f"1. Try a shorter message\n"
error_msg += f"2. Check for special characters in your message\n"
error_msg += f"3. Try a different model"
print(f"β Bad request: {response.status_code} - {response.text[:200]}")
return error_msg
else:
error_msg = f"π **API Error {response.status_code}**\n\n"
error_msg += f"An unexpected error occurred.\n"
error_msg += f"Response: {response.text[:500]}\n\n"
error_msg += f"**Troubleshooting:**\n"
error_msg += f"1. Try again in a few moments\n"
error_msg += f"2. Check OpenRouter service status\n"
error_msg += f"3. Contact support if this persists"
print(f"β API error: {response.status_code} - {response.text[:200]}")
return error_msg
except requests.exceptions.Timeout:
error_msg = f"β° **Request Timeout**\n\n"
error_msg += f"The API request took too long (30s limit).\n\n"
error_msg += f"**Troubleshooting:**\n"
error_msg += f"1. Try again with a shorter message\n"
error_msg += f"2. Check your internet connection\n"
error_msg += f"3. Try a different model"
print(f"β Request timeout after 30 seconds")
return error_msg
except requests.exceptions.ConnectionError:
error_msg = f"π **Connection Error**\n\n"
error_msg += f"Could not connect to OpenRouter API.\n\n"
error_msg += f"**Troubleshooting:**\n"
error_msg += f"1. Check your internet connection\n"
error_msg += f"2. Check OpenRouter service status\n"
error_msg += f"3. Try again in a few moments"
print(f"β Connection error to OpenRouter API")
return error_msg
except Exception as e:
error_msg = "β **Unexpected Error**\n\n"
error_msg += "An unexpected error occurred:\n"
error_msg += f"`{str(e)}`\n\n"
error_msg += "Please try again or contact support if this persists."
print(f"β Unexpected error: {str(e)}")
return error_msg
# Access code verification
access_granted = gr.State(False)
_access_granted_global = False # Global fallback
def verify_access_code(code):
"""Verify the access code"""
global _access_granted_global
if ACCESS_CODE is None:
_access_granted_global = True
return gr.update(value="No access code required.", style={"color": "green"}), gr.update(visible=True), True
if code == ACCESS_CODE:
_access_granted_global = True
return gr.update(value="β
Access granted!", style={"color": "green"}), gr.update(visible=True), True
else:
_access_granted_global = False
return gr.update(value="β Invalid access code. Please try again.", style={"color": "red"}), gr.update(visible=False), False
def protected_generate_response(message, history, files=None):
"""Protected response function that checks access"""
# Check if access is granted via the global variable
if ACCESS_CODE is not None and not _access_granted_global:
return "Please enter the access code to continue."
return generate_response(message, history, files)
# Global variable to store chat history for export
chat_history_store = []
def store_and_generate_response(message, history, files=None):
"""Wrapper function that stores history and generates response"""
global chat_history_store
# Generate response using the protected function
response = protected_generate_response(message, history, files)
# Convert current history to the format we need for export
# history comes in as [["user1", "bot1"], ["user2", "bot2"], ...]
chat_history_store = []
if history:
for exchange in history:
if isinstance(exchange, dict):
chat_history_store.append(exchange)
elif isinstance(exchange, (list, tuple)) and len(exchange) >= 2:
chat_history_store.append({"role": "user", "content": exchange[0]})
chat_history_store.append({"role": "assistant", "content": exchange[1]})
# Add the current exchange
chat_history_store.append({"role": "user", "content": message})
chat_history_store.append({"role": "assistant", "content": response})
return response
def export_current_conversation():
"""Export the current conversation"""
if not chat_history_store:
return gr.update(visible=False)
markdown_content = export_conversation_to_markdown(chat_history_store)
# Save to temporary file
with tempfile.NamedTemporaryFile(mode='w', suffix='.md', delete=False, encoding='utf-8') as f:
f.write(markdown_content)
temp_file = f.name
return gr.update(value=temp_file, visible=True)
def export_conversation(history):
"""Export conversation to markdown file"""
if not history:
return gr.update(visible=False)
markdown_content = export_conversation_to_markdown(history)
# Save to temporary file
with tempfile.NamedTemporaryFile(mode='w', suffix='.md', delete=False, encoding='utf-8') as f:
f.write(markdown_content)
temp_file = f.name
return gr.update(value=temp_file, visible=True)
# Configuration status display
def get_configuration_status():
"""Generate a clean configuration status message for display"""
status_parts = []
# Basic configuration info (without redundant "Configuration:" header)
status_parts.append(f"**Name:** {SPACE_NAME}")
status_parts.append(f"**Model:** {MODEL}")
status_parts.append(f"**Theme:** {THEME}")
status_parts.append(f"**Temperature:** {temperature}")
status_parts.append(f"**Max Response Tokens:** {max_tokens}")
status_parts.append("")
# Example prompts
status_parts.append("")
examples_list = config.get('examples', [])
if isinstance(examples_list, str):
try:
import ast
examples_list = ast.literal_eval(examples_list)
except:
examples_list = []
if examples_list and len(examples_list) > 0:
status_parts.append("**Example Prompts:**")
for example in examples_list[:5]: # Show first 5 examples
status_parts.append(f"β’ {example}")
if len(examples_list) > 5:
status_parts.append(f"β’ ... and {len(examples_list) - 5} more")
else:
status_parts.append("**Example Prompts:** No example prompts configured")
# URL Context if configured
urls = GROUNDING_URLS
if isinstance(urls, str):
try:
import ast
urls = ast.literal_eval(urls)
except:
urls = []
if urls and len(urls) > 0:
status_parts.append("")
status_parts.append("**Grounding URLs:**")
for i, url in enumerate(urls[:5], 1): # Show first 5 URLs
status_parts.append(f"{i}. {url}")
if len(urls) > 5:
status_parts.append(f"... and {len(urls) - 5} more URLs")
# System prompt at the end
status_parts.append("")
status_parts.append(f"**System Prompt:** {SYSTEM_PROMPT}")
# API Key status (minimal, at the end)
status_parts.append("")
if not API_KEY_VALID:
status_parts.append(f"**Note:** API key ({API_KEY_VAR}) not configured in Space secrets")
return "\n".join(status_parts)
# Create interface with access code protection
# Dynamically set theme based on configuration
theme_class = getattr(gr.themes, THEME, gr.themes.Default)
with gr.Blocks(title=SPACE_NAME, theme=theme_class()) as demo:
# Check if HF_TOKEN is configured to determine configuration panel availability
HF_TOKEN = os.environ.get("HF_TOKEN", "").strip()
SPACE_ID = os.environ.get("SPACE_ID", "").strip()
# Always use tabs structure, Configuration tab visible only with HF_TOKEN
with gr.Tabs() as main_tabs:
with gr.Tab("Chat U/I"):
gr.Markdown(f"# {SPACE_NAME}")
gr.Markdown(SPACE_DESCRIPTION)
# Access code section (shown only if ACCESS_CODE is set)
with gr.Column(visible=(ACCESS_CODE is not None)) as access_section:
gr.Markdown("### π Access Required")
gr.Markdown("Please enter the access code provided by your instructor:")
access_input = gr.Textbox(
label="Access Code",
placeholder="Enter access code...",
type="password"
)
access_btn = gr.Button("Submit", variant="primary")
access_error = gr.Markdown(visible=False)
# Main chat interface (hidden until access granted)
with gr.Column(visible=(ACCESS_CODE is None)) as chat_section:
# Get examples from config
examples = config.get('examples', [])
if isinstance(examples, str):
try:
import ast
examples = ast.literal_eval(examples)
except:
examples = []
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=examples if examples else None,
type="messages", # Use modern message format for better compatibility
additional_inputs=[
gr.File(
label="π",
file_types=None, # Accept all file types
file_count="multiple",
visible=True
)
]
)
# Export functionality
with gr.Row():
export_btn = gr.Button("π₯ Export Conversation", variant="secondary", size="sm")
export_file = gr.File(label="Download", visible=False)
# Connect export functionality
export_btn.click(
export_current_conversation,
outputs=[export_file]
)
# Configuration status
with gr.Accordion("Configuration", open=False):
gr.Markdown(get_configuration_status())
# Connect access verification within tab context
if ACCESS_CODE is not None:
access_btn.click(
verify_access_code,
inputs=[access_input],
outputs=[access_error, chat_section, access_granted]
)
access_input.submit(
verify_access_code,
inputs=[access_input],
outputs=[access_error, chat_section, access_granted]
)
# Add Configuration tab (only visible with HF_TOKEN)
with gr.Tab("Configuration", visible=(HF_TOKEN and SPACE_ID)) as config_tab:
gr.Markdown("## Configuration Management")
# Show authentication status
if HF_TOKEN and SPACE_ID:
gr.Markdown("β
**Authenticated** - Configuration changes will be saved to the HuggingFace repository")
faculty_auth_state = gr.State(True)
else:
gr.Markdown("β **Not Available** - Set HF_TOKEN and SPACE_ID in Space secrets to enable configuration")
faculty_auth_state = gr.State(False)
# Configuration editor (visible if HF_TOKEN is present)
with gr.Column(visible=(HF_TOKEN and SPACE_ID)) as faculty_config_section:
gr.Markdown("### Edit Assistant Configuration")
gr.Markdown("β οΈ **Warning:** Changes will affect all users immediately.")
# Load current configuration
try:
with open('config.json', 'r') as f:
current_config = json.load(f)
except:
# Use DEFAULT_CONFIG as fallback
current_config = DEFAULT_CONFIG.copy()
# Editable fields
# System Prompt
edit_system_prompt = gr.Textbox(
label="System Prompt",
value=current_config.get('system_prompt', SYSTEM_PROMPT),
lines=5
)
# 3. Model Selection
edit_model = gr.Dropdown(
label="Model",
choices=[
"google/gemini-2.0-flash-001",
"google/gemma-3-27b-it",
"anthropic/claude-3.5-sonnet",
"anthropic/claude-3.5-haiku",
"openai/gpt-4o-mini-search-preview",
"openai/gpt-4.1-nano",
"nvidia/llama-3.1-nemotron-70b-instruct",
"mistralai/devstral-small"
],
value=current_config.get('model', MODEL)
)
# 4. Example prompts field
examples_value = current_config.get('examples', [])
if isinstance(examples_value, list):
examples_text_value = "\n".join(examples_value)
else:
examples_text_value = ""
edit_examples = gr.Textbox(
label="Example Prompts (one per line)",
value=examples_text_value,
lines=3,
placeholder="What can you help me with?\nExplain this concept\nHelp me understand..."
)
# 5. Model Parameters
with gr.Row():
edit_temperature = gr.Slider(
label="Temperature",
minimum=0,
maximum=2,
value=current_config.get('temperature', 0.7),
step=0.1
)
edit_max_tokens = gr.Slider(
label="Max Tokens",
minimum=50,
maximum=4096,
value=current_config.get('max_tokens', 750),
step=50
)
# URL Grounding fields
gr.Markdown("### URL Grounding")
grounding_urls_value = current_config.get('grounding_urls', [])
if isinstance(grounding_urls_value, str):
try:
import ast
grounding_urls_value = ast.literal_eval(grounding_urls_value)
except:
grounding_urls_value = []
# Create 10 URL input fields
url_fields = []
for i in range(10):
url_value = grounding_urls_value[i] if i < len(grounding_urls_value) else ""
url_field = gr.Textbox(
label=f"URL {i+1}" + (" (Primary)" if i < 2 else " (Secondary)"),
value=url_value,
placeholder="https://..."
)
url_fields.append(url_field)
config_locked = gr.Checkbox(
label="Lock Configuration (Prevent further edits)",
value=current_config.get('locked', False)
)
with gr.Row():
save_config_btn = gr.Button("Save Configuration", variant="primary")
reset_config_btn = gr.Button("Reset to Defaults", variant="secondary")
config_status = gr.Markdown("")
# Save configuration function
def save_configuration(is_authenticated, new_prompt, new_model, new_examples, new_temp, new_tokens, *url_values):
if not is_authenticated:
return "Not authenticated"
# Check if configuration is already locked
try:
with open('config.json', 'r') as f:
existing_config = json.load(f)
if existing_config.get('locked', False):
return "Configuration is locked and cannot be modified"
except:
pass
# Load current config to preserve all values
try:
with open('config.json', 'r') as f:
current_full_config = json.load(f)
except:
# If config.json doesn't exist, use default configuration
current_full_config = DEFAULT_CONFIG.copy()
# Process example prompts
examples_list = [ex.strip() for ex in new_examples.split('\n') if ex.strip()]
# Process URL values - lock_config is the last parameter
urls = list(url_values[:-1]) # All but last are URLs
lock_config_from_args = url_values[-1] # Last is lock_config
# Filter out empty URLs
grounding_urls = [url.strip() for url in urls if url.strip()]
# Create backup before making changes
try:
# Create backups directory if it doesn't exist
os.makedirs('config_backups', exist_ok=True)
# Create timestamped backup
backup_filename = f"config_backups/config_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
with open(backup_filename, 'w') as backup_file:
json.dump(current_full_config, backup_file, indent=2)
# Keep only last 10 backups
backups = sorted([f for f in os.listdir('config_backups') if f.endswith('.json')])
if len(backups) > 10:
for old_backup in backups[:-10]:
os.remove(os.path.join('config_backups', old_backup))
except Exception as backup_error:
print(f"Warning: Could not create backup: {backup_error}")
# Continue with save even if backup fails
# Update all editable fields while preserving everything else
current_full_config.update({
'system_prompt': new_prompt,
'model': new_model,
'examples': examples_list,
'temperature': new_temp,
'max_tokens': int(new_tokens),
'grounding_urls': grounding_urls,
'locked': lock_config_from_args,
'last_modified': datetime.now().isoformat(),
'last_modified_by': 'faculty'
})
try:
with open('config.json', 'w') as f:
json.dump(current_full_config, f, indent=2)
# Optional: Auto-commit to HuggingFace if token is available
hf_token = os.environ.get("HF_TOKEN")
space_id = os.environ.get("SPACE_ID")
if hf_token and space_id:
try:
from huggingface_hub import HfApi, restart_space
api = HfApi(token=hf_token)
# Upload file (overwrites existing)
api.upload_file(
path_or_fileobj="config.json",
path_in_repo="config.json",
repo_id=space_id,
repo_type="space",
commit_message=f"Update configuration by faculty at {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"
)
# Automatic restart
try:
restart_space(space_id, token=hf_token)
return f"β
Configuration saved and committed at {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\nπ **Space is restarting automatically!**\n\nThe page will refresh in about 30 seconds. Your changes will be applied."
except Exception as restart_error:
print(f"Could not auto-restart: {restart_error}")
return f"β
Configuration saved and committed at {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\nπ **Please restart manually** (auto-restart failed)\n\n1. Go to Settings (βοΈ)\n2. Click 'Factory reboot'\n3. Wait ~30 seconds"
except Exception as commit_error:
print(f"Note: Could not auto-commit to repository: {commit_error}")
return f"β
Configuration saved locally at {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\nπ **Manual Restart Required**\nFor changes to take effect:\n1. Go to Settings (βοΈ)\n2. Click 'Factory reboot'\n3. Wait ~30 seconds for restart"
else:
return f"β
Configuration saved at {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\nπ **Manual Restart Required**\nFor changes to take effect:\n1. Go to Settings (βοΈ)\n2. Click 'Factory reboot'\n3. Wait ~30 seconds for restart"
except Exception as e:
return f"β Error saving configuration: {str(e)}"
# Reset configuration function
def reset_configuration(is_authenticated):
if not is_authenticated:
updates = ["Not authenticated"] + [gr.update() for _ in range(14)] # 1 status + 14 fields (prompt, model, examples, temp, tokens + 10 urls)
return tuple(updates)
# Check if locked
try:
with open('config.json', 'r') as f:
existing_config = json.load(f)
if existing_config.get('locked', False):
updates = ["Configuration is locked"] + [gr.update() for _ in range(14)]
return tuple(updates)
except:
pass
# Get default examples as text
default_examples = DEFAULT_CONFIG.get('examples', [])
if isinstance(default_examples, list):
examples_text = "\n".join(default_examples)
else:
examples_text = ""
# Get default URLs - parse from JSON string if needed
default_urls = DEFAULT_CONFIG.get('grounding_urls', [])
if isinstance(default_urls, str):
try:
import json
default_urls = json.loads(default_urls)
except:
default_urls = []
elif not isinstance(default_urls, list):
default_urls = []
# Reset to original default values
updates = [
"Reset to default values",
gr.update(value=DEFAULT_CONFIG.get('system_prompt', SYSTEM_PROMPT)),
gr.update(value=DEFAULT_CONFIG.get('model', MODEL)),
gr.update(value=examples_text),
gr.update(value=DEFAULT_CONFIG.get('temperature', temperature)),
gr.update(value=DEFAULT_CONFIG.get('max_tokens', max_tokens))
]
# Add URL updates
for i in range(10):
url_value = default_urls[i] if i < len(default_urls) else ""
updates.append(gr.update(value=url_value))
return tuple(updates)
# Connect configuration buttons
save_config_btn.click(
save_configuration,
inputs=[faculty_auth_state, edit_system_prompt, edit_model, edit_examples, edit_temperature, edit_max_tokens] + url_fields + [config_locked],
outputs=[config_status]
)
reset_config_btn.click(
reset_configuration,
inputs=[faculty_auth_state],
outputs=[config_status, edit_system_prompt, edit_model, edit_examples, edit_temperature, edit_max_tokens] + url_fields
)
if __name__ == "__main__":
demo.launch()
|