import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load the model and tokenizer
model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-0.6B")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-0.6B")

# Define the prediction function
def predict(text):
    app = text + " Is it false or true? Fact check it and provide the supporting reason."
    inputs = tokenizer(app, return_tensors="pt")
    outputs = model.generate(**inputs, max_new_tokens=100)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

# Define Gradio Interface
iface = gr.Interface(fn=predict, inputs="text", outputs="text", title="TrueGL Search Engine")

# Launch the app
iface.launch()