Welcome, Future AI Engineers! 🚀 In this project, you’ll bring artificial intelligence to life by creating a chatbot powered by the Groq API. This chatbot will respond to user messages in real time using advanced AI models! Instead of a graphical interface, we’re keeping it sleek and console-based—just like real-world API integrations.
By the end of this project, you’ll:
✅ Master API integration using Python.
✅ Learn how to handle errors gracefully when making API requests.
✅ Develop a real-world chatbot with multi-turn conversation capabilities.
✅ Gain experience working with AI-powered models like llama3-8b-8192
.
No prior AI experience? No problem! This is your hands-on introduction to building with AI! 🚀
Before we start coding, you'll need access to the Groq API. Here’s how to get your key:
1️⃣ Go to Groq’s official website and create an account.
2️⃣ Navigate to your dashboard and generate an API key.
3️⃣ Copy the key (keep it secret 🤫) and paste it into the code below.
Replace 'YOUR_API_KEY_HERE'
with your actual Groq API key, then run this script:
import groq
# Initialize Groq API client
client = groq.Client(api_key="YOUR_API_KEY_HERE") # Replace with your actual API key
# Function to get AI response from Groq API
def get_ai_response(user_input):
try:
response = client.chat.completions.create(
model="llama3-8b-8192",
messages=[{"role": "user", "content": user_input}]
)
return response.choices[0].message.content # Corrected access
except Exception as e:
return f"Error: {e}"
# Main loop for user input
if __name__ == "__main__":
print("Welcome to your AI chatbot! Type 'exit' to quit.")
while True:
user_input = input("\nYou: ")
if user_input.lower() in ["exit", "quit"]:
print("\nGoodbye! 👋")
break
response = get_ai_response(user_input)
print("AI:", response)
- Open your IDE or terminal.
- Run the script and start chatting with your AI assistant!
- Type
"exit"
or"quit"
to stop the conversation.
Want to supercharge your chatbot? Try these upgrades:
✨ Chat History – Save all messages to a .txt
file.
✨ Multi-Turn Conversations – Make the AI remember context!
✨ Model Selection – Let users pick different AI models.
✨ Custom Prompts – Allow users to change the chatbot’s personality!
🔗 Groq API Documentation
🐍 Python Documentation
Task | Points |
---|---|
Successfully connects to Groq API | ✅ 30 |
Handles errors properly | ✅ 20 |
Console-based chatbot works smoothly | ✅ 20 |
Implements additional features | ✅ 30 |
This project is an amazing opportunity to work with AI-powered APIs and create something cool. Whether you want to impress your peers, add it to your portfolio, or just have fun, this project is for you!
Happy Coding! 💻🔥