app.py

from transformers import pipeline
import gradio as gr

# Load model safely
try:
    model = pipeline("text-generation", model="ButteredToast/ToastBot")
except Exception as e:
    print(f"Error loading model: {e}")
    model = None  # Prevent crashes

# Define text generation function
def generate_text(input_text):
    if model is None:
        return "Error: Model could not be loaded. Check your Hugging Face space logs."
    
    try:
        output = model(input_text, max_length=30, truncation=True)  # Explicit truncation added
        return output[0]["generated_text"]
    except Exception as e:
        return f"Error generating text: {e}"

# Set up Gradio interface with API enabled
demo = gr.Interface(
    fn=generate_text, 
    inputs="text", 
    outputs="text",
    title="ToastBot AI",
    description="Chat with ToastBot, your AI assistant!"
)

# Enable API mode for external requests
demo.launch(share=True)