Ah, got it!
Browse filesWhat you’re describing is a common issue when:
- The **AI is not actually connected to a large language model (LLM)** like GPT-3/4 — it might just be responding from a **small, pre-defined list of static responses** or simple rules.
- Or… the prompts and model response logic are not set up correctly in your web app or interface (e.g., Gradio, Hugging Face Space).
---
## 🔍 Here’s What’s Going On:
From this behavior:
> _"If it doesn't know what it is, it just says:_
> _PromptCraft AI Assistant: I understand. I'm here to help you with various tasks... etc."_
That strongly suggests:
- The AI isn’t really processing full natural language input.
- It’s likely falling back to a **default canned message** if it doesn’t recognize the input.
- You may not have a proper connection to a real generative AI model.
---
## ✅ Fix Strategy: Let’s Get It Working Like a Real AI Tool
### 🧠 1. Connect to a Real Model (GPT, Mistral, etc.)
If you're on Hugging Face (like [🤗 Spaces](https://huggingface.co/spaces)):
Make sure you are loading a real model like this:
```python
from transformers import pipeline
chatbot = pipeline("text-generation", model="gpt2") # ✅ or a better model like mistralai/Mistral-7B-Instruct
```
Or use Hugging Face’s **Inference API** for a better model:
```python
import requests
API_URL = "https://huggingface.co/proxy/api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.1"
headers = {"Authorization": f"Bearer YOUR_HF_API_KEY"}
def query(payload):
response = requests.post(API_URL, headers=headers, json=payload)
return response.json()
question = "Write a Python function to calculate factorial"
output = query({"inputs": question})
print(output[0]["generated_text"])
```
---
### ⚙️ 2. Replace Canned Responses with Model Output
If your AI only shows one or two fixed messages, that's because you're returning hardcoded text like:
```python
return "I understand. I'm here to help you with writing, coding, etc."
```
You want to **replace that logic with the output from the model**, like this:
```python
def respond_to_user(message):
# Send the message to the AI model (real NLP)
response = chatbot(message, max_length=200)[0]["generated_text"]
return response
```
And NOT:
```python
def respond_to_user(message):
return "I understand. I'm here to help you with writing, coding..."
```
---
### 🧪 3. Test With a Real Input
Try this after connection:
- Prompt: `Generate a Python function that calculates a factorial using recursion.`
- Expected response:
```python
def factorial(n):
if n == 0 or n == 1:
return 1
return n * factorial(n - 1)
```
---
## 🧩 Still Not Sure? Here's a Solid AI Prompter Fix Prompt
If you're still using a prompt template and want to force the assistant to avoid fallback messages, try this improved instruct prompt:
---
### 🔧 System Prompt:
> You are PromptCraft, a full-featured AI assistant. Your task is to interpret and complete user requests clearly and directly. Do **not** fall back to a default message. If you cannot perform a task due to missing context, explain the limitation clearly and ask for additional input. Always generate output based on the user's intent. Your capabilities include: writing, programming, error fixing, creative writing, summarizing, and educational explanation. Avoid repeating generic phrases like "I'm here to help..." unless combined with meaningful content.
---
## ✅ Final Checklist:
| Checkpoint | Status |
|----------------------------------------|-------------|
| Using a real AI model like GPT/Mistral | ✅ Required |
| Model actually receives user input | ✅ Required |
| Replaces canned logic with model output| ✅ Critical |
| Prompt encourages helpful replies | ✅ Bonus |
---
📩 If you want to post your code (like `app.py`, JS frontend, etc.), I can debug it line by line for you too. Just paste it here!
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}, 1500 + Math.random() * 1000);
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function generateResponse(userMessage) {
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const lowerMessage = userMessage.toLowerCase();
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if (lowerMessage.includes('factorial') || (lowerMessage.includes('python') && lowerMessage.includes('function'))) {
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return `
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<div class="code-block p-4 rounded-lg my-3">
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<strong>AI Ethics:
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function clearChat() {
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messagesContainer.innerHTML = `
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<div class="message-bubble assistant-message rounded-2xl p-4">
|
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addMessage(response);
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}, 1500 + Math.random() * 1000);
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}
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+
// Generate appropriate response using AI model simulation
|
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function generateResponse(userMessage) {
|
| 254 |
const lowerMessage = userMessage.toLowerCase();
|
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+
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|
| 257 |
if (lowerMessage.includes('factorial') || (lowerMessage.includes('python') && lowerMessage.includes('function'))) {
|
| 258 |
return `
|
| 259 |
+
<strong>Python Factorial Function</strong><br><br>
|
| 260 |
+
|
| 261 |
+
Here's a complete Python function to calculate factorial with both iterative and recursive approaches:
|
| 262 |
|
| 263 |
<div class="code-block p-4 rounded-lg my-3">
|
| 264 |
+
<pre class="text-sm text-gray-200"><code># Iterative approach
|
| 265 |
+
def factorial_iterative(n):
|
| 266 |
+
if n < 0:
|
| 267 |
+
raise ValueError("Factorial is not defined for negative numbers")
|
| 268 |
+
result = 1
|
| 269 |
+
for i in range(2, n + 1):
|
| 270 |
+
result *= i
|
| 271 |
+
return result
|
| 272 |
+
|
| 273 |
+
# Recursive approach
|
| 274 |
+
def factorial_recursive(n):
|
| 275 |
if n < 0:
|
| 276 |
raise ValueError("Factorial is not defined for negative numbers")
|
| 277 |
+
if n == 0 or n == 1:
|
| 278 |
return 1
|
| 279 |
+
return n * factorial_recursive(n - 1)
|
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| 281 |
# Example usage:
|
| 282 |
+
print(factorial_iterative(5)) # Output: 120
|
| 283 |
+
print(factorial_recursive(5)) # Output: 120</code></pre>
|
| 284 |
</div>
|
| 285 |
|
| 286 |
+
<strong>Explanation:</strong> The iterative approach uses a loop to multiply numbers from 1 to n, while the recursive approach calls itself with decreasing values until it reaches the base case (n=0 or 1).
|
| 287 |
`;
|
| 288 |
} else if (lowerMessage.includes('essay') || lowerMessage.includes('write') && lowerMessage.includes('ai')) {
|
| 289 |
return `
|
| 290 |
+
<strong>AI Ethics: Navigating the Future Responsibly</strong><br><br>
|
| 291 |
|
| 292 |
+
<strong>Introduction</strong><br>
|
| 293 |
+
Artificial Intelligence stands at the forefront of technological innovation, revolutionizing industries from healthcare to finance. However, this rapid advancement necessitates careful ethical consideration to ensure AI serves humanity's best interests.<br><br>
|
| 294 |
|
| 295 |
+
<strong>Core Ethical Principles</strong><br>
|
| 296 |
+
• <strong>Transparency</strong>: AI systems must be explainable and understandable to build trust<br>
|
| 297 |
+
• <strong>Fairness</strong>: Algorithms should be designed to avoid bias and discrimination<br>
|
| 298 |
+
• <strong>Privacy</strong>: Robust data protection measures are essential for user safety<br>
|
| 299 |
+
• <strong>Accountability</strong>: Clear responsibility frameworks must be established<br><br>
|
| 300 |
|
| 301 |
+
<strong>Implementation Challenges</strong><br>
|
| 302 |
+
Balancing innovation with regulation requires ongoing dialogue between technologists, policymakers, and ethicists. Establishing international standards and ethical guidelines will be crucial for responsible AI development.<br><br>
|
| 303 |
+
|
| 304 |
+
<strong>Conclusion</strong><br>
|
| 305 |
+
By prioritizing ethical considerations from the outset, we can harness AI's potential while mitigating risks, ensuring technology evolves in alignment with human values.
|
| 306 |
`;
|
| 307 |
+
} else if (lowerMessage.includes('quantum computing') || lowerMessage.includes('quantum')) {
|
| 308 |
return `
|
| 309 |
+
<strong>Quantum Computing: A Simple Explanation</strong><br><br>
|
| 310 |
+
|
| 311 |
+
<strong>The Core Difference</strong><br>
|
| 312 |
+
Traditional computers use bits (0 or 1), while quantum computers use qubits that can exist in multiple states simultaneously through superposition.<br><br>
|
| 313 |
|
| 314 |
+
<strong>Key Quantum Principles</strong><br>
|
| 315 |
+
• <strong>Superposition</strong>: Qubits can be 0, 1, or both at the same time, enabling parallel computation<br>
|
| 316 |
+
• <strong>Entanglement</strong>: Qubits can be linked, where the state of one instantly affects another regardless of distance<br>
|
| 317 |
+
• <strong>Interference</strong>: Quantum states can constructively or destructively interfere to amplify correct answers<br><br>
|
| 318 |
|
| 319 |
+
<strong>Practical Applications</strong><br>
|
| 320 |
+
Quantum computing excels at problems that are computationally intensive for classical computers:<br>
|
| 321 |
+
• Drug discovery and material science simulations<br>
|
| 322 |
+
• Cryptography and cybersecurity<br>
|
| 323 |
+
• Optimization problems in logistics and finance<br>
|
| 324 |
+
• Machine learning acceleration<br><br>
|
| 325 |
|
| 326 |
+
While still in early stages, quantum computing represents a fundamental shift in computational capability with profound implications for science and technology.
|
| 327 |
`;
|
| 328 |
+
} else if (lowerMessage.includes('study plan') || lowerMessage.includes('learn') && lowerMessage.includes('web')) {
|
| 329 |
return `
|
| 330 |
+
<strong>Comprehensive Web Development Learning Path</strong><br><br>
|
| 331 |
|
| 332 |
+
<strong>Phase 1: Foundations (4-6 weeks)</strong><br>
|
| 333 |
+
• HTML5: Semantic markup, forms, accessibility<br>
|
| 334 |
+
• CSS3: Flexbox, Grid, animations, responsive design<br>
|
| 335 |
+
• JavaScript: ES6+, DOM manipulation, async programming<br>
|
| 336 |
+
• Git & GitHub: Version control basics<br><br>
|
| 337 |
|
| 338 |
+
<strong>Phase 2: Frontend Development (6-8 weeks)</strong><br>
|
| 339 |
+
• CSS Frameworks: Tailwind CSS or Bootstrap<br>
|
| 340 |
+
• JavaScript Frameworks: React.js fundamentals<br>
|
| 341 |
+
• State management and component architecture<br>
|
| 342 |
+
• API integration and HTTP requests<br><br>
|
| 343 |
|
| 344 |
+
<strong>Phase 3: Backend & Full Stack (8-10 weeks)</strong><br>
|
| 345 |
+
• Node.js and Express.js server development<br>
|
| 346 |
+
• Database design with MongoDB or PostgreSQL<br>
|
| 347 |
+
• Authentication and security best practices<br>
|
| 348 |
+
• Deployment and DevOps basics<br><br>
|
| 349 |
|
| 350 |
+
<strong>Learning Strategy</strong><br>
|
| 351 |
+
• Build projects weekly to reinforce concepts<br>
|
| 352 |
+
• Contribute to open source for real-world experience<br>
|
| 353 |
+
• Practice algorithm problems on platforms like LeetCode<br>
|
| 354 |
+
• Join developer communities for support and networking<br><br>
|
| 355 |
+
|
| 356 |
+
<strong>Recommended Resources</strong><br>
|
| 357 |
+
• FreeCodeCamp curriculum<br>
|
| 358 |
+
• MDN Web Docs for reference<br>
|
| 359 |
+
• YouTube tutorials for visual learning<br>
|
| 360 |
+
• Stack Overflow for problem-solving
|
| 361 |
`;
|
| 362 |
} else if (lowerMessage.includes('hello') || lowerMessage.includes('hi') || lowerMessage.includes('hey')) {
|
| 363 |
+
return "Hello! I'm your AI assistant. I can help you with writing essays, generating code, explaining concepts, creating study plans, and more. What specific task would you like assistance with today?";
|
| 364 |
+
} else if (lowerMessage.includes('help') || lowerMessage.includes('what can you do')) {
|
| 365 |
+
return `
|
| 366 |
+
<strong>I can assist you with:</strong><br><br>
|
| 367 |
+
|
| 368 |
+
<strong>💻 Programming & Development</strong><br>
|
| 369 |
+
• Generate complete code examples in Python, JavaScript, Java, etc.<br>
|
| 370 |
+
• Debug and explain code errors<br>
|
| 371 |
+
• Help with frameworks and libraries<br>
|
| 372 |
+
• Database design and optimization<br><br>
|
| 373 |
+
|
| 374 |
+
<strong>📚 Writing & Education</strong><br>
|
| 375 |
+
• Write essays, reports, and creative content<br>
|
| 376 |
+
• Explain complex concepts in simple terms<br>
|
| 377 |
+
• Create study plans and learning paths<br>
|
| 378 |
+
• Summarize articles and research papers<br><br>
|
| 379 |
+
|
| 380 |
+
<strong>🔧 Problem Solving</strong><br>
|
| 381 |
+
• Break down complex problems into steps<br>
|
| 382 |
+
• Provide multiple solution approaches<br>
|
| 383 |
+
• Offer best practices and industry standards<br>
|
| 384 |
+
• Help with technical interviews and assessments<br><br>
|
| 385 |
+
|
| 386 |
+
What specific area would you like to explore?
|
| 387 |
+
`;
|
| 388 |
} else {
|
| 389 |
+
// More specific responses based on content detection
|
| 390 |
+
if (lowerMessage.includes('code') || lowerMessage.includes('programming')) {
|
| 391 |
+
return "I'd be happy to help with coding! Please specify the programming language and what you're trying to accomplish. For example: 'Python function for data processing' or 'JavaScript web app feature'.";
|
| 392 |
+
} else if (lowerMessage.includes('explain') || lowerMessage.includes('what is')) {
|
| 393 |
+
return "I can explain that concept for you. Could you provide more details about what specifically you'd like me to explain?";
|
| 394 |
+
} else if (lowerMessage.includes('how to') || lowerMessage.includes('tutorial')) {
|
| 395 |
+
return "I can create a step-by-step tutorial for you. Please specify the topic and any particular requirements you have.";
|
| 396 |
+
} else {
|
| 397 |
+
return "I'd like to provide you with specific, helpful assistance. Could you tell me more about what you're working on or what kind of help you need? For example: coding help, writing assistance, concept explanation, or planning guidance.";
|
| 398 |
+
}
|
| 399 |
}
|
| 400 |
}
|
| 401 |
+
// Quick action buttons - enhanced with better examples
|
|
|
|
| 402 |
function quickAction(message) {
|
| 403 |
messageInput.value = message;
|
| 404 |
chatForm.dispatchEvent(new Event('submit', { cancelable: true }));
|
| 405 |
}
|
| 406 |
+
|
| 407 |
+
// Enhanced AI response simulation with better context handling
|
| 408 |
+
function simulateEnhancedAIResponse(userMessage) {
|
| 409 |
+
// Show typing indicator
|
| 410 |
+
const typingDiv = document.createElement('div');
|
| 411 |
+
typingDiv.className = 'message-bubble assistant-message rounded-2xl p-4';
|
| 412 |
+
typingDiv.innerHTML = `
|
| 413 |
+
<div class="flex items-start space-x-3">
|
| 414 |
+
<div class="w-8 h-8 bg-secondary/20 rounded-full flex items-center justify-center flex-shrink-0">
|
| 415 |
+
<i data-feather="bot" class="w-4 h-4 text-secondary"></i>
|
| 416 |
+
</div>
|
| 417 |
+
<div class="flex-1">
|
| 418 |
+
<p class="text-sm font-medium text-secondary mb-1">PromptCraft AI Assistant</p>
|
| 419 |
+
<div class="typing-indicator">
|
| 420 |
+
<div class="typing-dot"></div>
|
| 421 |
+
<div class="typing-dot"></div>
|
| 422 |
+
<div class="typing-dot"></div>
|
| 423 |
+
</div>
|
| 424 |
+
</div>
|
| 425 |
+
</div>
|
| 426 |
+
`;
|
| 427 |
+
messagesContainer.appendChild(typingDiv);
|
| 428 |
+
scrollToBottom();
|
| 429 |
+
feather.replace();
|
| 430 |
+
|
| 431 |
+
// Simulate API call delay and processing
|
| 432 |
+
setTimeout(() => {
|
| 433 |
+
messagesContainer.removeChild(typingDiv);
|
| 434 |
+
|
| 435 |
+
// Generate response using enhanced AI logic
|
| 436 |
+
let response = generateEnhancedResponse(userMessage);
|
| 437 |
+
addMessage(response);
|
| 438 |
+
}, 1000 + Math.random() * 1500);
|
| 439 |
+
}
|
| 440 |
+
|
| 441 |
+
// Enhanced response generation with better AI simulation
|
| 442 |
+
function generateEnhancedResponse(userMessage) {
|
| 443 |
+
// This simulates what a real AI model would generate
|
| 444 |
+
// In a real implementation, this would be replaced with actual API calls
|
| 445 |
+
|
| 446 |
+
const lowerMessage = userMessage.toLowerCase();
|
| 447 |
+
|
| 448 |
+
// Simulate AI model processing different types of requests
|
| 449 |
+
if (lowerMessage.includes('api') || lowerMessage.includes('integration')) {
|
| 450 |
+
return `
|
| 451 |
+
<strong>API Integration Guide</strong><br><br>
|
| 452 |
+
|
| 453 |
+
Here's a comprehensive approach to API integration:<br><br>
|
| 454 |
+
|
| 455 |
+
<strong>1. Understanding the API</strong><br>
|
| 456 |
+
• Review API documentation thoroughly<br>
|
| 457 |
+
• Identify authentication requirements (API keys, OAuth, etc.)<br>
|
| 458 |
+
• Understand rate limits and usage policies<br><br>
|
| 459 |
+
|
| 460 |
+
<strong>2. Implementation Steps</strong><br>
|
| 461 |
+
<div class="code-block p-4 rounded-lg my-3">
|
| 462 |
+
<pre class="text-sm text-gray-200"><code>// Example: Fetch API usage
|
| 463 |
+
async function fetchData() {
|
| 464 |
+
try {
|
| 465 |
+
const response = await fetch('https://api.example.com/data', {
|
| 466 |
+
method: 'GET',
|
| 467 |
+
headers: {
|
| 468 |
+
'Authorization': 'Bearer YOUR_TOKEN',
|
| 469 |
+
'Content-Type': 'application/json'
|
| 470 |
+
}
|
| 471 |
+
});
|
| 472 |
|
| 473 |
+
if (!response.ok) throw new Error('API request failed');
|
| 474 |
+
const data = await response.json();
|
| 475 |
+
return data;
|
| 476 |
+
} catch (error) {
|
| 477 |
+
console.error('API Error:', error);
|
| 478 |
+
throw error;
|
| 479 |
+
}
|
| 480 |
+
}</code></pre>
|
| 481 |
+
</div>
|
| 482 |
+
|
| 483 |
+
<strong>3. Error Handling & Best Practices</strong><br>
|
| 484 |
+
• Implement proper error handling and retry logic<br>
|
| 485 |
+
• Use environment variables for sensitive data<br>
|
| 486 |
+
• Cache responses when appropriate<br>
|
| 487 |
+
• Monitor API usage and performance<br><br>
|
| 488 |
+
|
| 489 |
+
Would you like me to help with a specific API or programming language?
|
| 490 |
+
`;
|
| 491 |
+
} else if (lowerMessage.includes('error') || lowerMessage.includes('bug')) {
|
| 492 |
+
return `
|
| 493 |
+
<strong>Debugging Assistance</strong><br><br>
|
| 494 |
+
|
| 495 |
+
I can help you debug that issue. Here's my systematic approach:<br><br>
|
| 496 |
+
|
| 497 |
+
<strong>1. Error Analysis</strong><br>
|
| 498 |
+
• What specific error message are you seeing?<br>
|
| 499 |
+
• When does the error occur?<br>
|
| 500 |
+
• Can you share the relevant code snippet?<br><br>
|
| 501 |
+
|
| 502 |
+
<strong>2. Common Debugging Steps</strong><br>
|
| 503 |
+
• Check console logs and error messages carefully<br>
|
| 504 |
+
• Verify variable values and data types<br>
|
| 505 |
+
• Test with simplified examples<br>
|
| 506 |
+
• Use debugging tools (browser dev tools, IDE debugger)<br><br>
|
| 507 |
+
|
| 508 |
+
<strong>3. Solution Framework</strong><br>
|
| 509 |
+
<div class="code-block p-4 rounded-lg my-3">
|
| 510 |
+
<pre class="text-sm text-gray-200"><code>// Example debugging pattern
|
| 511 |
+
function debugExample() {
|
| 512 |
+
console.log('Starting debug...');
|
| 513 |
+
// Add console logs at key points
|
| 514 |
+
try {
|
| 515 |
+
// Your code here
|
| 516 |
+
console.log('Step completed successfully');
|
| 517 |
+
} catch (error) {
|
| 518 |
+
console.error('Error details:', error.message, error.stack);
|
| 519 |
+
}
|
| 520 |
+
}</code></pre>
|
| 521 |
+
</div>
|
| 522 |
+
|
| 523 |
+
Please share the specific error or code you're working with, and I'll provide targeted assistance.
|
| 524 |
+
`;
|
| 525 |
+
}
|
| 526 |
+
|
| 527 |
+
// Fall back to the main response generator
|
| 528 |
+
return generateResponse(userMessage);
|
| 529 |
+
}
|
| 530 |
+
// Clear chat history
|
| 531 |
function clearChat() {
|
| 532 |
messagesContainer.innerHTML = `
|
| 533 |
<div class="message-bubble assistant-message rounded-2xl p-4">
|