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import streamlit as st
import torch
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
# Replace with your Hugging Face model repository path
model_repo_path = 'Muh113/Minecraft_Query_Wizard'
# Check for GPU availability and set the device accordingly
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
# Load the model and tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_repo_path)
model = AutoModelForSeq2SeqLM.from_pretrained(model_repo_path).to(device)
# Streamlit app layout
st.set_page_config(page_title="Minecraft Query Wizard", page_icon="🧙♂️")
st.title("Minecraft Query Wizard 🧙♂️")
st.markdown("""
<style>
.main {
background-color: #f5f5f5;
font-family: Arial, sans-serif;
}
.stButton>button {
background-color: #4CAF50;
color: white;
font-size: 18px;
padding: 10px 20px;
border-radius: 8px;
}
</style>
""", unsafe_allow_html=True)
st.markdown("### Welcome to the Minecraft Query Wizard! 🌟")
st.markdown("This tool allows you to ask any Minecraft-related questions and get accurate answers using the latest AI technology.")
st.markdown("#### How to use:")
st.markdown("1. Enter your Minecraft-related question in the text area below.")
st.markdown("2. Click the 'Get Answer' button to generate a response.")
st.markdown("3. See the magic happen! ✨")
# User input
question_input = st.text_area("Enter your Minecraft-related question here:", height=150)
# Answer the question
if st.button("Get Answer"):
if question_input:
with st.spinner("Generating answer..."):
try:
# Tokenize the input question
inputs = tokenizer(question_input, return_tensors="pt", truncation=True, max_length=116).to(device)
# Generate the answer
outputs = model.generate(inputs['input_ids'], max_length=150, num_beams=4, early_stopping=True)
# Decode the generated answer
answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
st.subheader("Answer")
st.write(answer)
except Exception as e:
st.error(f"Error during question answering: {e}")
else:
st.warning("Please enter a question to get an answer.")
st.markdown("---")
st.markdown("### About the Creators")
st.markdown("**Creator 1:** Name of Creator 1")
st.markdown("**Creator 2:** Name of Creator 2")
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