app.py

import streamlit as st
from transformers import GPT2LMHeadModel, GPT2Tokenizer

#Load models
tokenizer = GPT2Tokenizer.from_pretrained("Legacy7070/Psychedelic-Trip-Report-Generator")
model = GPT2LMHeadModel.from_pretrained("Legacy7070/Psychedelic-Trip-Report-Generator")

#Set title and prompt
st.title('Psychedelic Trip Report Generator')
prompt = st.text_input("Enter a prompt for the trip report:")
if prompt:
    inputs = tokenizer.encode(prompt, return_tensors='pt')
    outputs = model.generate(inputs, max_length=500, temperature=1.0)
    generated_text = tokenizer.decode(outputs[0])
    st.text(generated_text)