import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load your model and tokenizer from Hugging Face repository
model_name = "Rishitha0208/new-llm-for-advanced-materials"  # Replace with your model repo name
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

def predict(input_text):
    inputs = tokenizer(input_text, return_tensors="pt")
    outputs = model.generate(**inputs)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

# Create a Gradio interface
interface = gr.Interface(
    fn=predict,
    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter text here..."),
    outputs="text",
)

# Launch the interface
interface.launch()