app.py

import gradio as gr
from transformers import pipeline
MODEL_ID = "sudhir2016/PLM"
TASK = "text-classification" 
predictor = pipeline(
        task=TASK,
        model=MODEL_ID,
        device=-1 )
def predict_tm(sequence: str) -> str:
    spaced_sequence = " ".join(list(sequence.strip().upper()))    
    result = predictor(spaced_sequence)
    predicted_tm = result[0]['score']  
    return f"Predicted Melting Temperature (Tm): {predicted_tm:.2f} °C"
demo = gr.Interface(
    fn=predict_tm,
    inputs=gr.Textbox(
        label="Enter Protein Amino Acid Sequence (1-letter code)",
        placeholder="e.g., ACDEFGHIKLMNPQRSTVWY",
        lines=5 
    ),
    outputs="text",
    title="Nano Protein Language Model for Thermostability Prediction",
    description="Enter an amino acid sequence (using the 1-letter code) to predict its melting temperature (Tm) in degrees Celsius.",
    examples=[
        ["VKLGSGAYE"], # Example sequence 1
        ["MALWMRLLPLLALLALWGPDPAAAFVNQHLCGSHLVEALYLVCGERGFFYTPKA"], # Example sequence 2
    ]
)
demo.launch()