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| import streamlit as st | |
| from transformers import AutoTokenizer, AutoModelForCausalLM | |
| # Load the model and tokenizer | |
| tokenizer = AutoTokenizer.from_pretrained("AhsanShahid/Creative_AI") | |
| model = AutoModelForCausalLM.from_pretrained("AhsanShahid/Creative_AI") | |
| # Streamlit app | |
| st.title("Creative AI Writing Assistant") | |
| prompt = st.text_area("Enter your prompt here:", "") | |
| if st.button("Generate Text"): | |
| if prompt: | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs) | |
| generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| st.subheader("Generated Text") | |
| st.write(generated_text) | |
| else: | |
| st.warning("Please enter a prompt to generate text.") | |