app.py

import gradio as gr
from transformers import pipeline

# Load the text generation model
pipe = pipeline("text-generation", model="microsoft/Phi-3.5-mini-instruct", trust_remote_code=True)

# Define a function for emoji guessing game
def emoji_game(user_guess):
    # Messages to send to the model
    messages = [
        {"role": "user", "content": f"Guess the word or phrase represented by these emojis: 🍎👩‍🌾🚪🪞."},
        {"role": "user", "content": user_guess},
    ]
    
    # Generate response from the model
    response = pipe(messages)
    
    # Process the response (for simplicity, let's just return the generated text)
    return response[0]['generated_text']

# Create a Gradio interface
interface = gr.Interface(
    fn=emoji_game,  # Function to call when user submits input
    inputs="text",  # Input widget (user types their guess)
    outputs="text",  # Output widget (display model response)
    title="Guess the Word from Emojis",
    description="Try to guess the word or phrase represented by the emojis. Example: 🐍🧙⚡ = Harry Potter."
)

# Launch the interface
interface.launch()