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#!/usr/bin/env python3
"""
Smart Auto-Complete - Main Application
A context-aware text completion tool built with Gradio
"""
from typing import List, Tuple
import gradio as gr
from config.settings import AppSettings
from src.autocomplete import SmartAutoComplete
from src.utils import setup_logging
# Initialize logging
logger = setup_logging()
# Initialize settings and autocomplete engine
settings = AppSettings()
autocomplete = SmartAutoComplete(settings)
class AutoCompleteApp:
def __init__(self):
self.last_request_time = 0
self.current_suggestions = []
self.user_api_key = None
self.custom_autocomplete = None
def get_suggestions(
self, text: str, context: str, output_tokens: int = 150, user_context: str = ""
) -> Tuple[List[str], str]:
"""
Get auto-complete suggestions for the given text and context
Returns: (suggestions_list, status_message)
"""
try:
# Input validation
if not text or len(text.strip()) < 2:
return [], "โ๏ธ Please enter some text to get suggestions..."
if len(text) > settings.MAX_INPUT_LENGTH:
return (
[],
f"โ ๏ธ Text too long (max {settings.MAX_INPUT_LENGTH} characters)",
)
# Get suggestions from autocomplete engine
suggestions = autocomplete.get_suggestions(
text=text,
context=context,
max_tokens=output_tokens,
user_context=user_context,
)
self.current_suggestions = suggestions
if suggestions:
status = f"โ
Found {len(suggestions)} suggestions"
else:
status = "๐ค No suggestions available for this text"
return suggestions, status
except Exception as e:
logger.error(f"Error getting suggestions: {str(e)}")
return [], f"โ Error: {str(e)}"
def get_suggestions_with_custom_prompts(
self,
text: str,
context: str,
output_tokens: int = 150,
user_context: str = "",
custom_prompts: dict = None,
) -> Tuple[List[str], str]:
"""
Get auto-complete suggestions with custom prompts
Returns: (suggestions_list, status_message)
"""
try:
# Input validation
if not text or len(text.strip()) < 2:
return [], "โ๏ธ Please enter some text to get suggestions..."
if len(text) > settings.MAX_INPUT_LENGTH:
return (
[],
f"โ ๏ธ Text too long (max {settings.MAX_INPUT_LENGTH} characters)",
)
# Use the active autocomplete instance (user's custom or default)
active_autocomplete = self.get_active_autocomplete()
# Create a temporary autocomplete instance with custom prompts
temp_autocomplete = SmartAutoComplete(
active_autocomplete.settings if active_autocomplete else settings
)
if custom_prompts:
temp_autocomplete.CONTEXT_PROMPTS = custom_prompts
# Get suggestions from autocomplete engine
suggestions = temp_autocomplete.get_suggestions(
text=text,
context=context,
max_tokens=output_tokens,
user_context=user_context,
)
self.current_suggestions = suggestions
if suggestions:
status = f"โ
Found {len(suggestions)} suggestions"
else:
status = "๐ค No suggestions available for this text"
return suggestions, status
except Exception as e:
logger.error(f"Error getting suggestions with custom prompts: {str(e)}")
return [], f"โ Error: {str(e)}"
def insert_suggestion(
self, current_text: str, suggestion: str, cursor_position: int = None
) -> str:
"""Insert the selected suggestion into the current text"""
try:
# Simple append for now - in a real implementation, this would be more sophisticated
if not current_text:
return suggestion
# If text ends with incomplete sentence, replace the last part
words = current_text.split()
if words and not current_text.endswith((".", "!", "?", "\n")):
# Replace the last partial word/sentence with the suggestion
return current_text + " " + suggestion.strip()
else:
return current_text + " " + suggestion.strip()
except Exception as e:
logger.error(f"Error inserting suggestion: {str(e)}")
return current_text
def update_api_key(self, api_key: str) -> str:
"""Update the OpenAI API key and reinitialize the autocomplete engine"""
try:
if not api_key or not api_key.strip():
self.user_api_key = None
self.custom_autocomplete = None
return "๐ Reverted to default configuration"
# Validate the API key format
if not api_key.startswith("sk-"):
return "โ Invalid API key format. OpenAI keys start with 'sk-'"
# Create a custom settings object with the user's API key
from config.settings import AppSettings
custom_settings = AppSettings()
custom_settings.OPENAI_API_KEY = api_key.strip()
# Create a new autocomplete instance with the custom settings
self.custom_autocomplete = SmartAutoComplete(custom_settings)
self.user_api_key = api_key.strip()
return "โ
API key updated successfully! Using your personal quota."
except Exception as e:
logger.error(f"Error updating API key: {str(e)}")
return f"โ Error updating API key: {str(e)}"
def test_api_connection(self, api_key: str = None) -> str:
"""Test the API connection with the current or provided key"""
try:
# Use custom autocomplete if user has provided a key, otherwise use default
test_autocomplete = (
self.custom_autocomplete if self.user_api_key else autocomplete
)
if api_key and api_key.strip():
# Test with the provided key
from config.settings import AppSettings
test_settings = AppSettings()
test_settings.OPENAI_API_KEY = api_key.strip()
test_autocomplete = SmartAutoComplete(test_settings)
# Test with a simple completion
test_result = test_autocomplete.get_suggestions(
text="Hello, this is a test", context="linkedin", max_tokens=10
)
if test_result and len(test_result) > 0:
return "โ
API connection successful!"
else:
return "โ API connection failed - no response received"
except Exception as e:
logger.error(f"API connection test failed: {str(e)}")
return f"โ API connection test failed: {str(e)}"
def get_active_autocomplete(self):
"""Get the currently active autocomplete instance"""
return self.custom_autocomplete if self.user_api_key else autocomplete
def create_interface():
"""Create and configure the Gradio interface"""
app_instance = AutoCompleteApp()
# Professional CSS styling
custom_css = """
/* Global Styles */
.gradio-container {
font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif !important;
background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%) !important;
min-height: 100vh;
}
/* Header Styling */
.header-container {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
padding: 2rem;
border-radius: 16px;
margin-bottom: 2rem;
box-shadow: 0 8px 32px rgba(0,0,0,0.1);
}
.header-container h1 {
font-size: 2.5rem;
font-weight: 700;
margin-bottom: 0.5rem;
text-shadow: 0 2px 4px rgba(0,0,0,0.1);
}
.header-container p {
font-size: 1.1rem;
opacity: 0.9;
margin-bottom: 0;
}
/* Card Styling */
.main-card {
background: white;
border-radius: 16px;
padding: 2rem;
box-shadow: 0 4px 24px rgba(0,0,0,0.06);
border: 1px solid rgba(255,255,255,0.2);
backdrop-filter: blur(10px);
}
.output-card {
background: linear-gradient(135deg, #f8fafc 0%, #e2e8f0 100%);
border-radius: 16px;
padding: 1.5rem;
box-shadow: 0 4px 16px rgba(0,0,0,0.04);
border: 1px solid #e2e8f0;
}
/* Input Styling */
.gradio-textbox textarea, .gradio-textbox input {
border: 2px solid #e2e8f0 !important;
border-radius: 12px !important;
padding: 16px !important;
font-size: 16px !important;
transition: all 0.3s ease !important;
background: #fafbfc !important;
}
.gradio-textbox textarea:focus, .gradio-textbox input:focus {
border-color: #667eea !important;
box-shadow: 0 0 0 3px rgba(102, 126, 234, 0.1) !important;
background: white !important;
}
/* Button Styling */
.gradio-button {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
border: none !important;
border-radius: 12px !important;
padding: 16px 32px !important;
font-weight: 600 !important;
font-size: 16px !important;
color: white !important;
transition: all 0.3s ease !important;
box-shadow: 0 4px 16px rgba(102, 126, 234, 0.3) !important;
}
.gradio-button:hover {
transform: translateY(-2px) !important;
box-shadow: 0 8px 24px rgba(102, 126, 234, 0.4) !important;
}
.gradio-button.secondary {
background: linear-gradient(135deg, #64748b 0%, #475569 100%) !important;
box-shadow: 0 4px 16px rgba(100, 116, 139, 0.3) !important;
}
/* Radio Button Styling */
.gradio-radio {
background: white;
border-radius: 12px;
padding: 1rem;
border: 2px solid #e2e8f0;
}
.gradio-radio label {
font-weight: 500;
color: #374151;
padding: 12px 16px;
border-radius: 8px;
transition: all 0.2s ease;
}
.gradio-radio input:checked + label {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
box-shadow: 0 2px 8px rgba(102, 126, 234, 0.3);
}
/* Accordion Styling */
.gradio-accordion {
border: 2px solid #e2e8f0 !important;
border-radius: 12px !important;
background: white !important;
margin: 1rem 0 !important;
}
.gradio-accordion summary {
background: linear-gradient(135deg, #f8fafc 0%, #e2e8f0 100%) !important;
padding: 1rem 1.5rem !important;
border-radius: 10px !important;
font-weight: 600 !important;
color: #374151 !important;
}
/* Status Display */
.status-display {
background: linear-gradient(135deg, #ecfdf5 0%, #d1fae5 100%);
border: 2px solid #10b981;
border-radius: 12px;
padding: 1rem;
color: #065f46;
font-weight: 500;
}
/* Output Text Area */
.output-text {
background: linear-gradient(135deg, #fefce8 0%, #fef3c7 100%) !important;
border: 2px solid #f59e0b !important;
border-radius: 12px !important;
font-family: 'Monaco', 'Menlo', 'Ubuntu Mono', monospace !important;
font-size: 14px !important;
}
/* Slider Styling */
.gradio-slider input[type="range"] {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
border-radius: 8px !important;
}
/* Tab Styling */
.gradio-tabs {
border-radius: 12px !important;
overflow: hidden !important;
}
.gradio-tab-nav {
background: linear-gradient(135deg, #f8fafc 0%, #e2e8f0 100%) !important;
border-bottom: 2px solid #e2e8f0 !important;
}
.gradio-tab-nav button {
border-radius: 8px 8px 0 0 !important;
font-weight: 500 !important;
padding: 12px 24px !important;
}
.gradio-tab-nav button.selected {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
color: white !important;
}
/* Examples Styling */
.gradio-examples {
background: white;
border-radius: 12px;
padding: 1.5rem;
border: 2px solid #e2e8f0;
}
/* Footer Styling */
.footer-content {
background: linear-gradient(135deg, #f8fafc 0%, #e2e8f0 100%);
color: #374151;
padding: 2rem;
border-radius: 16px;
margin-top: 2rem;
border: 2px solid #e2e8f0;
box-shadow: 0 4px 16px rgba(0,0,0,0.04);
}
.footer-content h3 {
color: #1f2937;
border-bottom: 2px solid #667eea;
padding-bottom: 0.5rem;
margin-bottom: 1rem;
font-weight: 600;
}
/* Responsive Design */
@media (max-width: 768px) {
.header-container h1 {
font-size: 2rem;
}
.main-card, .output-card {
padding: 1rem;
}
.gradio-button {
padding: 12px 24px !important;
font-size: 14px !important;
}
}
"""
with gr.Blocks(
title="LinkedIn Smart Auto-Complete | Professional AI Writing Assistant",
theme=gr.themes.Soft(),
css=custom_css,
) as interface:
# Professional Header
with gr.Row(elem_classes=["header-container"]):
gr.HTML("""
<div style="text-align: center;">
<h1>๐ LinkedIn Smart Auto-Complete</h1>
<p style="font-size: 1.2rem; margin-bottom: 0.5rem;">Professional AI Writing Assistant</p>
<p style="opacity: 0.9;">Transform your ideas into compelling LinkedIn content with AI-powered intelligence</p>
<div style="margin-top: 1rem; padding: 1rem; background: rgba(255,255,255,0.1); border-radius: 8px; border-left: 4px solid #fbbf24;">
<strong>๐ก Pro Tip:</strong> Add your OpenAI API key in Settings for unlimited personal usage
</div>
</div>
""")
with gr.Row():
with gr.Column(scale=2, elem_classes=["main-card"]):
# Professional Context Selection
gr.Markdown("### ๐ฏ **Choose Your Writing Context**")
context_selector = gr.Radio(
choices=[
("๐ง Professional Email", "email"),
("โ๏ธ Creative Content", "creative"),
("๐ผ LinkedIn Post", "linkedin"),
],
value="linkedin",
label="",
elem_classes=["context-selector"],
)
gr.Markdown("---")
# Enhanced Context Input
gr.Markdown("### ๐ **Reference Information** *(Optional)*")
context_input = gr.Textbox(
label="",
placeholder="๐ก Add background info, company details, industry context, or previous conversations to enhance AI understanding...",
lines=4,
elem_classes=["context-input"],
)
# Professional Main Input
gr.Markdown("### โ๏ธ **Your Content**")
text_input = gr.Textbox(
label="",
placeholder="๐ Start typing your content here... The AI will intelligently complete your thoughts!",
lines=8,
elem_classes=["main-input"],
)
# Enhanced Submit Button
submit_btn = gr.Button(
"โจ Generate AI Completion",
variant="primary",
size="lg",
elem_classes=["primary-button"],
)
# Professional Settings
with gr.Accordion("โ๏ธ **Advanced Settings**", open=False):
# API Key Configuration
with gr.Group():
gr.Markdown("### ๐ **API Configuration**")
gr.Markdown(
"*Secure your own OpenAI quota for unlimited usage*"
)
openai_key_input = gr.Textbox(
label="OpenAI API Key",
placeholder="sk-proj-... (Paste your OpenAI API key here)",
type="password",
value="",
info="๐ Your API key is encrypted and only used for this session. Never stored permanently.",
)
api_status = gr.Textbox(
label="Connection Status",
value="โ
Using default configuration"
if settings.OPENAI_API_KEY
else "โ ๏ธ No API key configured - using shared quota",
interactive=False,
lines=1,
elem_classes=["status-display"],
)
test_api_btn = gr.Button(
"๐งช Test Connection", size="sm", elem_classes=["secondary"]
)
gr.Markdown("---")
# Enhanced Output Settings
gr.Markdown("### ๐ **Output Configuration**")
output_length = gr.Slider(
minimum=50,
maximum=500,
value=150,
step=10,
label="Response Length (tokens)",
info="Adjust the length of AI-generated content",
)
gr.Markdown("### ๐ง **Debug Options**")
gr.Checkbox(
label="Enable detailed logging",
value=False,
info="Show technical details for troubleshooting",
)
# Context Prompt Editor
with gr.Accordion("๐ง Edit Context Prompts", open=False):
gr.Markdown(
"**Customize your writing style for each context type. Changes apply immediately.**"
)
with gr.Tab("๐ง Email Context"):
email_system_prompt = gr.Textbox(
label="System Prompt",
value="""You are an expert email writing assistant. Generate professional,
contextually appropriate email completions. Focus on:
- Professional tone and structure
- Clear, concise communication
- Appropriate greetings and closings
- Business communication best practices
IMPORTANT: Generate a completion that is approximately {max_tokens} tokens long.
Adjust your response length accordingly - shorter for fewer tokens, longer for more tokens.""",
lines=8,
placeholder="Enter the system prompt for email context...",
)
email_user_template = gr.Textbox(
label="User Message Template",
value="Complete this email text naturally and professionally with approximately {max_tokens} tokens: {text}",
lines=3,
placeholder="Enter the user message template...",
)
with gr.Tab("๐จ Creative Context"):
creative_system_prompt = gr.Textbox(
label="System Prompt",
value="""You are a creative writing assistant. Generate engaging,
imaginative story continuations. Focus on:
- Narrative consistency and flow
- Character development
- Descriptive and engaging language
- Plot advancement
IMPORTANT: Generate a completion that is approximately {max_tokens} tokens long.
Adjust your response length accordingly - shorter for fewer tokens, longer for more tokens.""",
lines=8,
placeholder="Enter the system prompt for creative context...",
)
creative_user_template = gr.Textbox(
label="User Message Template",
value="Continue this creative writing piece naturally with approximately {max_tokens} tokens: {text}",
lines=3,
placeholder="Enter the user message template...",
)
with gr.Tab("๐ผ LinkedIn Context"):
linkedin_system_prompt = gr.Textbox(
label="System Prompt",
value="""You are a LinkedIn writing assistant specialized in professional networking content. Generate engaging,
professional LinkedIn-appropriate text completions. Focus on:
- Professional networking tone
- Industry-relevant language
- Engaging and authentic voice
- LinkedIn best practices (hashtags, mentions, professional insights)
- Career development and business communication
IMPORTANT: Generate a completion that is approximately {max_tokens} tokens long.
Adjust your response length accordingly - shorter for fewer tokens, longer for more tokens.""",
lines=8,
placeholder="Enter the system prompt for LinkedIn context...",
)
linkedin_user_template = gr.Textbox(
label="User Message Template",
value="Complete this LinkedIn post/content naturally and professionally with approximately {max_tokens} tokens: {text}",
lines=3,
placeholder="Enter the user message template...",
)
with gr.Column(scale=1, elem_classes=["output-card"]):
# Professional Status Display
gr.Markdown("### ๐ **AI Assistant Status**")
status_display = gr.Textbox(
label="",
value="๐ค Ready to assist! Choose your context and start writing...",
interactive=False,
lines=3,
elem_classes=["status-display"],
)
gr.Markdown("---")
# Enhanced Output Area
gr.Markdown("### ๐ **Generated Content**")
gr.Markdown("*AI-powered completion will appear below*")
copy_textbox = gr.Textbox(
label="",
placeholder="โจ Your AI-generated content will appear here...\n\n๐ Simply select all text (Ctrl+A/Cmd+A) and copy (Ctrl+C/Cmd+C) to use in your LinkedIn post or email!",
lines=12,
max_lines=20,
interactive=True,
visible=False,
elem_classes=["output-text"],
)
# Quick Action Buttons (Future Enhancement)
with gr.Row(visible=False):
gr.Button(
"๐ Copy to Clipboard", size="sm", elem_classes=["secondary"]
)
gr.Button("๐ Regenerate", size="sm", elem_classes=["secondary"])
gr.Button("โ๏ธ Edit & Refine", size="sm", elem_classes=["secondary"])
# Professional Examples Section
with gr.Accordion("๐ฏ **Try These Professional Examples**", open=False):
gr.Markdown("""
### ๐ **Quick Start Templates**
*Click any example below to instantly populate the form and see AI in action!*
""")
gr.Examples(
examples=[
[
"Quarterly budget review meeting with stakeholders, discussing Q4 performance metrics and 2024 planning initiatives",
"Dear Mr. Johnson,\n\nI hope this email finds you well. Following our discussion yesterday, I wanted to confirm our meeting details for the quarterly budget review",
"email",
],
[
"Epic fantasy adventure featuring a young mage discovering ancient powers in a world where magic and technology collide",
"In the neon-lit streets of Neo-Arcanum, where holographic spells danced alongside digital billboards, Zara clutched her grandmother's ancient grimoire and whispered",
"creative",
],
[
"Sharing insights about AI transformation in the financial services industry, highlighting successful implementation strategies and future trends",
"๐ Excited to share key insights from our recent AI transformation journey at FinTech Solutions! After 18 months of implementation, here's what we've learned about",
"linkedin",
],
],
inputs=[context_input, text_input, context_selector],
label="",
)
# Event handlers
def update_api_key(api_key):
"""Handle API key updates"""
status = app_instance.update_api_key(api_key)
return status
def test_api_connection(api_key):
"""Handle API connection testing"""
status = app_instance.test_api_connection(api_key)
return status
def update_suggestions(
text,
context,
output_tokens,
user_context,
email_sys,
email_user,
creative_sys,
creative_user,
linkedin_sys,
linkedin_user,
):
"""Update suggestions based on input with custom prompts"""
logger.info(
f"Getting suggestions with context: '{user_context[:50] if user_context else 'None'}...'"
)
logger.info(f"Requested output tokens: {output_tokens}")
# Create custom prompts dictionary
custom_prompts = {
"email": {
"system_prompt": email_sys,
"user_template": email_user,
"temperature": 0.6,
},
"creative": {
"system_prompt": creative_sys,
"user_template": creative_user,
"temperature": 0.8,
},
"linkedin": {
"system_prompt": linkedin_sys,
"user_template": linkedin_user,
"temperature": 0.7,
},
}
suggestions, status = app_instance.get_suggestions_with_custom_prompts(
text, context, output_tokens, user_context, custom_prompts
)
# Update the copy textbox with the suggestion
if suggestions:
copy_text = suggestions[0] if suggestions else ""
copy_visible = True
else:
copy_text = ""
copy_visible = False
# Return the copy textbox update
copy_update = gr.update(visible=copy_visible, value=copy_text)
return status, copy_update
# API Key event handlers
openai_key_input.change(
fn=update_api_key, inputs=[openai_key_input], outputs=[api_status]
)
test_api_btn.click(
fn=test_api_connection, inputs=[openai_key_input], outputs=[api_status]
)
# Submit button handler
submit_btn.click(
fn=update_suggestions,
inputs=[
text_input,
context_selector,
output_length,
context_input,
email_system_prompt,
email_user_template,
creative_system_prompt,
creative_user_template,
linkedin_system_prompt,
linkedin_user_template,
],
outputs=[status_display, copy_textbox],
)
# Professional Footer
with gr.Row(elem_classes=["footer-content"]):
gr.HTML("""
<div style="width: 100%;">
<div style="display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 2rem; margin-bottom: 2rem;">
<div>
<h3>๐ฎ Quick Start Guide</h3>
<ol style="line-height: 1.8; color: #4b5563;">
<li><strong>Choose Context:</strong> Select Email, Creative, or LinkedIn</li>
<li><strong>Add Context:</strong> Include background information (optional)</li>
<li><strong>Enter Text:</strong> Start typing your content</li>
<li><strong>Generate:</strong> Click the AI completion button</li>
<li><strong>Copy & Use:</strong> Select all and copy the result</li>
</ol>
</div>
<div>
<h3>๐ Pro Features</h3>
<ul style="line-height: 1.8; color: #4b5563; list-style: none; padding: 0;">
<li>๐ <strong>Personal API Key:</strong> Unlimited usage with your OpenAI account</li>
<li>๐ <strong>Custom Length:</strong> Adjust output from 50-500 tokens</li>
<li>๐ฏ <strong>Context-Aware:</strong> AI adapts to your specific writing needs</li>
<li>โก <strong>Real-time:</strong> Instant AI-powered completions</li>
<li>๐ง <strong>Customizable:</strong> Edit prompts for personalized results</li>
</ul>
</div>
<div>
<h3>๐ก Expert Tips</h3>
<ul style="line-height: 1.8; color: #4b5563; list-style: none; padding: 0;">
<li>๐ง <strong>Email:</strong> Start with greetings, add meeting context</li>
<li>โ๏ธ <strong>Creative:</strong> Set the scene, describe characters</li>
<li>๐ผ <strong>LinkedIn:</strong> Include industry keywords, hashtags</li>
<li>๐ฏ <strong>Context:</strong> More background = better results</li>
<li>๐ <strong>Iterate:</strong> Refine prompts for perfect output</li>
</ul>
</div>
</div>
<div style="border-top: 1px solid #cbd5e1; padding-top: 2rem; text-align: center;">
<div style="display: flex; justify-content: center; align-items: center; gap: 2rem; margin-bottom: 1rem;">
<div style="display: flex; align-items: center; gap: 0.5rem; color: #1f2937;">
<span style="font-size: 1.2rem;">๐</span>
<strong>Powered by OpenAI GPT</strong>
</div>
<div style="display: flex; align-items: center; gap: 0.5rem; color: #1f2937;">
<span style="font-size: 1.2rem;">โก</span>
<strong>Built with Gradio</strong>
</div>
<div style="display: flex; align-items: center; gap: 0.5rem; color: #1f2937;">
<span style="font-size: 1.2rem;">๐</span>
<strong>Python Backend</strong>
</div>
</div>
<p style="color: #6b7280; margin: 0; font-size: 0.9rem;">
Made with โค๏ธ for professionals, creators, and innovators worldwide
</p>
</div>
</div>
""")
return interface
def main():
"""Main function to run the application"""
try:
# Check API configuration - now optional since users can provide their own keys
if not settings.validate_api_keys():
logger.warning(
"No default API keys found. Users can provide their own keys in the UI."
)
print("โ ๏ธ No default API keys configured.")
print("Users can enter their own OpenAI API key in the Settings section.")
else:
logger.info("Default API keys found and validated.")
logger.info("Starting Smart Auto-Complete application...")
# Create and launch interface
interface = create_interface()
interface.launch(
server_name="0.0.0.0",
server_port=7860,
share=False, # Set to True for public sharing
show_error=True,
)
except Exception as e:
logger.error(f"Failed to start application: {str(e)}")
print(f"โ Error starting application: {str(e)}")
if __name__ == "__main__":
main()
|