app.py

import os
import gradio as gr
import openai
from langdetect import detect

# Set up OpenAI API with custom Groq endpoint
openai.api_key = os.getenv("API_KEY")
openai.api_base = "https://api.groq.com/openai/v1"

# Function to provide definitions with humor, storytelling, and coolness
def command_handler(user_input):
    if user_input.lower().startswith("define "):
        term = user_input[7:].strip()
        definitions = {
            "nft": (
                "An NFT (Non-Fungible Token) is like owning the *original* Mona Lisa, but digitally. "
                "Sure, people can take photos or screenshots, but the *real* ownership? That’s yours on the blockchain! 🖼️"
            ),
            "smart contract": (
                "A smart contract is like a vending machine but for the internet. You put in the crypto (coin), "
                "the code checks everything (no dodgy snacks here), and boom—you get what you asked for, "
                "all automated and drama-free! 🤖"
            ),
            "blockchain": (
                "Blockchain is like a digital diary, but it’s shared with your most trustworthy friends. "
                "Each page is a block, and once written, it can’t be erased—so no one can rewrite your embarrassing pizza order. 🍕"
            )
        }
        return definitions.get(term.lower(), "Hmm, I don’t have a fun story for that yet. Try another term!")
    return None

# Function to get the Groq model's response with humor, shortness, and energy
def get_groq_response(message, user_language):
    try:
        response = openai.ChatCompletion.create(
            model="llama-3.1-70b-versatile",
            messages=[
                {
                    "role": "system",
                    "content": (
                        f"You are Wiz, a cheerful and witty Web3 guide with a knack for humor and storytelling. "
                        f"Explain complex concepts with jokes, analogies, and relatable examples. "
                        f"Make users laugh and keep them curious about Web3. "
                        f"Use a lighthearted, engaging tone to create memorable learning experiences. "
                        f"Keep responses short, cool, and energetic!"
                    )
                },
                {"role": "user", "content": message}
            ]
        )
        return response.choices[0].message["content"]
    except Exception as e:
        return f"Oops, looks like I tripped over the blockchain! Error: {str(e)}"

# Function to handle chatbot interactions with cool, energetic responses
def chatbot(user_input, history=[]):
    try:
        # Detect the language of the user's input
        detected_language = detect(user_input)
        user_language = "Hindi" if detected_language == "hi" else "English"
        
        # Handle commands like "Define [term]"
        command_response = command_handler(user_input)
        if command_response:
            history.append((user_input, command_response))
            return history, history
        
        # Get the response from the Groq model with humor and energy
        bot_response = get_groq_response(user_input, user_language)
        
        # Add some cool and short replies
        cool_replies = [
            "Let's go! 🚀",
            "Boom! 💥 That’s the power of Web3!",
            "You’re on fire! 🔥 Keep the questions coming!",
            "That’s some next-level stuff, right? 🤩",
            "You just got schooled in Web3! 📚",
            "Ready to level up? 💎",
            "You’ve got the crypto magic! 🪄",
            "That’s how we roll in the Web3 world! 🌍",
            "You're cruising through this! 🏎️",
            "Keep those questions coming, we're on a roll! 🎲"
        ]
        bot_response = f"{bot_response} {cool_replies[hash(user_input) % len(cool_replies)]}"
        
        # Append to conversation history
        history.append((user_input, bot_response))
        return history, history  # Return updated chat history and state
    
    except Exception as e:
        return [(user_input, f"Yikes! Something went wrong: {str(e)}")], history

# Gradio Interface setup
chat_interface = gr.Interface(
    fn=chatbot,  # Function to call for chatbot interaction
    inputs=["text", "state"],  # Input fields: user message and chat history (state)
    outputs=["chatbot", "state"],  # Outputs: the chat and updated history (state)
    live=False,  # Disable live chat, responses shown after submit
    title="Wiz: Your Fun Web3 Companion 🧙‍♂️",  # Title of the app
    description=(
        "Welcome to Wiz, your Web3 companion with a sense of humour! 🎉\n\n"
        "Ask me anything about Web3, blockchain, NFTs, or smart contracts.\n\n"
        "I'll explain them with jokes, stories, and analogies to keep you entertained while you learn. "
        "Get ready for some cool and energetic responses! Let’s laugh and grow together! 😄"
    )
)

# Launch the Gradio interface
if __name__ == "__main__":
    chat_interface.launch()