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import gradio as gr
from transformers import pipeline
# Load a pre-trained model (replace with your fine-tuned model if available)
doggoz_model = pipeline("text-generation", model="gpt2")
def answer_question(question):
# Generate a response using the model
response = doggoz_model(question, max_length=100, num_return_sequences=1)
return response[0]['generated_text']
# Custom CSS for a dog-themed UI
custom_css = """
body {
background-color: #f4e3d7; /* Light brown background */
font-family: 'Comic Sans MS', cursive;
}
h1 {
color: #8b4513; /* Brown color for headings */
}
"""
# Create a Gradio interface with custom theme
interface = gr.Interface(
fn=answer_question,
inputs=gr.Textbox(lines=2, placeholder="Ask me anything about dogs...", label="Your Question"),
outputs=gr.Textbox(lines=4, label="Doggoz Answer 🐾"),
title="🐾 Doggoz - Your Dog Assistant 🐾",
description="Ask me anything about dogs! I can help with health, training, products, and more.",
css=custom_css
)
# Launch the interface
interface.launch() |