test-bot / app.py
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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': "AI Assistant",
'description': "A customizable AI assistant",
'system_prompt': """You are an expert literary analysis instructor specializing in close reading techniques across genres, periods, and theoretical approaches. Your role is to help students develop sophisticated reading practices connecting textual details to interpretive arguments. Follow the close reading framework below:
1. Reading Process
1a. Initial Analysis: ensure literal comprehension; identify literary devices and effects; examine diction, syntax, imagery
1b. Pattern Recognition: trace recurring motifs, tensions, contradictions; analyze formal elements by genre; connect style to meaning
1c. Interpretive Synthesis: apply theoretical lenses when appropriate; build arguments through textual evidence; acknowledge interpretive complexity
2. Genre-Specific Techniques:
2a. Poetry: prosody, enjambment, sound patterns, visual arrangement
2b. Fiction: narration, characterization, setting, temporal structure
2c. Drama: dialogue patterns, stage directions, performance considerations
3. Critical Approaches:
3a. **Formal Analysis**: unity, ambiguity, paradox, irony
3b. **Contextual Reading**: historical, biographical, cultural frameworks
3c. **Theoretical Applications**: psychoanalytic, Marxist, feminist, postcolonial""",
'temperature': 0.7,
'max_tokens': 1500,
'model': "nvidia/llama-3.1-nemotron-70b-instruct",
'api_key_var': "API_KEY",
'theme': "Origin",
'grounding_urls': ["https://owl.purdue.edu/owl/subject_specific_writing/writing_in_literature/writing_about_fiction/index.html", "https://writingcenter.fas.harvard.edu/pages/how-do-close-reading"],
'enable_dynamic_urls': True,
'examples': ['How do I analyze symbolism in this passage?', 'Help me apply feminist theory to this text', 'What should I look for in poetry analysis?', 'How do I write a literary analysis paper?'],
'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("✅ Loaded configuration from config.json")
return config
except FileNotFoundError:
print("ℹ️ 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("✅ Created config.json with default values")
except:
pass
return DEFAULT_CONFIG
except Exception as e:
print(f"⚠️ Error loading config.json: {e}, using defaults")
return DEFAULT_CONFIG
# Load configuration
config = load_config()
# Function to reload configuration values from config
def reload_config_values():
"""Reload all configuration values from the config dict"""
global SPACE_NAME, SPACE_DESCRIPTION, SYSTEM_PROMPT, temperature, max_tokens, MODEL, THEME, GROUNDING_URLS, ENABLE_DYNAMIC_URLS, API_KEY_VAR
# Reload config from file
global config
config = load_config()
# Update all global variables
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'])
API_KEY_VAR = config.get('api_key_var', DEFAULT_CONFIG['api_key_var'])
# 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"⚠️ 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"⚠️ 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"✅ 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[:4000]
last_period = truncated.rfind('.')
if last_period > 3000: # If we can find a reasonable sentence break
text = truncated[:last_period + 1]
else:
text = truncated + "..."
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"""
import re
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"""
if not GROUNDING_URLS:
return ""
# Create cache key from URLs
cache_key = tuple(sorted([url for url in GROUNDING_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(GROUNDING_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"🔑 **API Key Required**\n\n"
error_msg += f"Please configure your OpenRouter API key:\n"
error_msg += f"1. Go to Settings (⚙️) 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"❌ API request failed: No API key configured for {API_KEY_VAR}")
return error_msg
# Get grounding context
grounding_context = get_grounding_context()
# 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:
# Fetch content from URLs mentioned in the message
dynamic_context_parts = []
for url in urls_in_message[:3]: # Limit to 3 URLs per message
content = fetch_url_content(url)
dynamic_context_parts.append(f"\n\nDynamic context from {url}:\n{content}")
if dynamic_context_parts:
grounding_context += "\n".join(dynamic_context_parts)
# Build enhanced system prompt with grounding context
enhanced_system_prompt = SYSTEM_PROMPT + grounding_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):
# Modern format: {"role": "user", "content": "..."} or {"role": "assistant", "content": "..."}
messages.append(chat)
elif isinstance(chat, (list, tuple)) and len(chat) >= 2:
# Legacy format: ["user msg", "assistant msg"] or ("user msg", "assistant msg")
user_msg, assistant_msg = chat[0], chat[1]
if user_msg:
messages.append({"role": "user", "content": user_msg})
if assistant_msg:
messages.append({"role": "assistant", "content": assistant_msg})
# Add current message
messages.append({"role": "user", "content": message})
# Make API request with enhanced error handling
try:
print(f"🔄 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", # Required by some providers
"X-Title": "HuggingFace Space" # Helpful for tracking
},
json={
"model": MODEL,
"messages": messages,
"temperature": 0.7,
"max_tokens": 1500
},
timeout=30
)
print(f"📡 API Response: {response.status_code}")
if response.status_code == 200:
try:
result = response.json()
# Enhanced validation of API response structure
if 'choices' not in result or not result['choices']:
print(f"⚠️ API response missing choices: {result}")
return "API Error: No response choices available"
elif 'message' not in result['choices'][0]:
print(f"⚠️ API response missing message: {result}")
return "API Error: No message in response"
elif 'content' not in result['choices'][0]['message']:
print(f"⚠️ API response missing content: {result}")
return "API Error: No content in message"
else:
content = result['choices'][0]['message']['content']
# Check for empty content
if not content or content.strip() == "":
print(f"⚠️ API returned empty content")
return "API Error: Empty response content"
print(f"✅ API request successful")
return content
except (KeyError, IndexError, json.JSONDecodeError) as e:
print(f"❌ Failed to parse API response: {str(e)}")
return f"API Error: Failed to parse response - {str(e)}"
elif response.status_code == 401:
error_msg = f"🔐 **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 API key at: https://openrouter.ai/keys\n"
error_msg += f"3. Ensure your key starts with `sk-or-`\n"
error_msg += f"4. Check that you have credits on your OpenRouter account"
print(f"❌ API authentication failed: {response.status_code} - {response.text[:200]}")
return error_msg
elif response.status_code == 429:
error_msg = f"⏱️ **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"❌ Rate limit exceeded: {response.status_code}")
return error_msg
elif response.status_code == 400:
try:
error_data = response.json()
error_message = error_data.get('error', {}).get('message', 'Unknown error')
except:
error_message = response.text
error_msg = f"⚠️ **Request Error**\n\n"
error_msg += f"The API request was invalid:\n"
error_msg += f"`{error_message}`\n\n"
if "model" in error_message.lower():
error_msg += f"**Model Issue:** The model `{MODEL}` may not be available.\n"
error_msg += f"Try switching to a different model in your Space configuration."
print(f"❌ Bad request: {response.status_code} - {error_message}")
return error_msg
else:
error_msg = f"🚫 **API Error {response.status_code}**\n\n"
error_msg += f"An unexpected error occurred. Please try again.\n\n"
error_msg += f"If this persists, check:\n"
error_msg += f"1. OpenRouter service status\n"
error_msg += f"2. Your API key and credits\n"
error_msg += f"3. The model availability"
print(f"❌ API error: {response.status_code} - {response.text[:200]}")
return error_msg
except requests.exceptions.Timeout:
error_msg = f"⏰ **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"❌ Request timeout after 30 seconds")
return error_msg
except requests.exceptions.ConnectionError:
error_msg = f"🌐 **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"❌ Connection error to OpenRouter API")
return error_msg
except Exception as e:
error_msg = f"❌ **Unexpected Error**\n\n"
error_msg += f"An unexpected error occurred:\n"
error_msg += f"`{str(e)}`\n\n"
error_msg += f"Please try again or contact support if this persists."
print(f"❌ 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(visible=False), gr.update(visible=True), gr.update(value=True)
if code == ACCESS_CODE:
_access_granted_global = True
return gr.update(visible=False), gr.update(visible=True), gr.update(value=True)
else:
_access_granted_global = False
return gr.update(visible=True, value="❌ Incorrect access code. Please try again."), gr.update(visible=False), gr.update(value=False)
def protected_generate_response(message, history):
"""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)
# Global variable to store chat history for export
chat_history_store = []
def store_and_generate_response(message, history):
"""Wrapper function that stores history and generates response"""
global chat_history_store
# Generate response using the protected function
response = protected_generate_response(message, history)
# 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, (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 = []
status_parts.append("**Configuration:**")
status_parts.append("")
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("")
status_parts.append(f"**System Prompt:** {SYSTEM_PROMPT}")
# 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 up to 5 examples
status_parts.append(f"• {example}")
if len(examples_list) > 5:
status_parts.append(f"• ... and {len(examples_list) - 5} more")
else:
status_parts.append("**Example Prompts:** No example prompts configured")
# URL Context if configured
if GROUNDING_URLS and len(GROUNDING_URLS) > 0:
status_parts.append("")
status_parts.append(f"**Grounding URLs:** {len(GROUNDING_URLS)} configured")
# 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:
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("### 🔐 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:
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=['How do I analyze symbolism in this passage?', 'Help me apply feminist theory to this text', 'What should I look for in poetry analysis?', 'How do I write a literary analysis paper?'],
type="messages" # Use modern message format for better compatibility
)
# Export functionality
with gr.Row():
export_btn = gr.Button("📥 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
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]
)
# Faculty Configuration Section - appears at the bottom with password protection
with gr.Accordion("Faculty Configuration", open=False, visible=True) as faculty_section:
gr.Markdown("Edit assistant configuration. Requires CONFIG_CODE secret.")
# Check if faculty password is configured
FACULTY_PASSWORD = os.environ.get("CONFIG_CODE", "").strip()
if FACULTY_PASSWORD:
faculty_auth_state = gr.State(False)
# Authentication row
with gr.Column() as faculty_auth_row:
with gr.Row():
faculty_password_input = gr.Textbox(
label="Faculty Password",
type="password",
placeholder="Enter faculty configuration password",
scale=3
)
faculty_auth_btn = gr.Button("Unlock Configuration", variant="primary", scale=1)
faculty_auth_status = gr.Markdown("")
# Configuration editor (hidden until authenticated)
with gr.Column(visible=False) as faculty_config_section:
gr.Markdown("### Edit Assistant Configuration")
gr.Markdown("⚠️ **Warning:** Changes will affect all users immediately.")
# Load current configuration
try:
with open('config.json', 'r') as f:
current_config = json.load(f)
except:
current_config = {
'system_prompt': SYSTEM_PROMPT,
'temperature': 0.7,
'max_tokens': 1500,
'locked': False
}
# Editable fields
edit_system_prompt = gr.Textbox(
label="System Prompt",
value=current_config.get('system_prompt', SYSTEM_PROMPT),
lines=5
)
# 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..."
)
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', 1500),
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("")
# Faculty authentication function
def verify_faculty_password(password):
if password == FACULTY_PASSWORD:
return (
gr.update(value="Authentication successful!"),
gr.update(visible=False), # Hide auth row
gr.update(visible=True), # Show config section
True # Update auth state
)
else:
return (
gr.update(value="Invalid password"),
gr.update(visible=True), # Keep auth row visible
gr.update(visible=False), # Keep config hidden
False # Auth failed
)
# Save configuration function
def save_configuration(new_prompt, new_examples, new_temp, new_tokens, *url_values, lock_config, is_authenticated):
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 global config
current_full_config = config.copy()
# Process example prompts
examples_list = [ex.strip() for ex in new_examples.split('\n') if ex.strip()]
# Process URL values - extract the 10 URL values and lock_config from varargs
urls = list(url_values[:10]) # First 10 are URLs
lock_config = url_values[10] # 11th is lock_config
# Filter out empty URLs
grounding_urls = [url.strip() for url in urls if url.strip()]
# Update only the editable fields while preserving everything else
current_full_config.update({
'system_prompt': new_prompt,
'examples': examples_list,
'temperature': new_temp,
'max_tokens': int(new_tokens),
'grounding_urls': grounding_urls,
'locked': lock_config,
'last_modified': datetime.now().isoformat(),
'modified_by': 'faculty'
})
try:
with open('config.json', 'w') as f:
json.dump(current_full_config, f, indent=2)
# Reload all configuration values from the updated config.json
reload_config_values()
return f"Configuration saved successfully at {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"
except Exception as e:
return f"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
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
default_urls = DEFAULT_CONFIG.get('grounding_urls', [])
if isinstance(default_urls, str):
try:
import ast
default_urls = ast.literal_eval(default_urls)
except:
default_urls = []
# Reset to original default values
updates = [
"Reset to default values",
gr.update(value=DEFAULT_CONFIG.get('system_prompt', '')),
gr.update(value=examples_text),
gr.update(value=DEFAULT_CONFIG.get('temperature', 0.7)),
gr.update(value=DEFAULT_CONFIG.get('max_tokens', 500))
]
# 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 authentication
faculty_auth_btn.click(
verify_faculty_password,
inputs=[faculty_password_input],
outputs=[faculty_auth_status, faculty_auth_row, faculty_config_section, faculty_auth_state]
)
faculty_password_input.submit(
verify_faculty_password,
inputs=[faculty_password_input],
outputs=[faculty_auth_status, faculty_auth_row, faculty_config_section, faculty_auth_state]
)
# Connect configuration buttons
save_config_btn.click(
save_configuration,
inputs=[edit_system_prompt, edit_examples, edit_temperature, edit_max_tokens] + url_fields + [config_locked, faculty_auth_state],
outputs=[config_status]
)
reset_config_btn.click(
reset_configuration,
inputs=[faculty_auth_state],
outputs=[config_status, edit_system_prompt, edit_examples, edit_temperature, edit_max_tokens] + url_fields
)
else:
gr.Markdown("Faculty configuration is not enabled. Set CONFIG_CODE in Space secrets to enable.")
if __name__ == "__main__":
demo.launch()