license:llama2 region:us
---
license: llama2
---
import transformers
import datasets
import streamlit as st

# Load the DNA structures dataset
dataset = datasets.load_dataset("protein_structure", data_dir="dataset_archive(1).zip")

# Load the AlphaFold model
model = transformers.AutoModelForSequenceClassification.from_pretrained("alphafold")

# Create a function to predict the structure of a protein
def predict_structure(sequence):
    prediction = model(sequence.unsqueeze(0))[0]
    return prediction

# Create a Streamlit app
st.title("DNA Structures Research")

# Input the DNA sequence
sequence = st.text_input("DNA Sequence")

# Predict the structure of the protein
prediction = predict_structure(sequence)

# Display the prediction
st.write(prediction)
