app.py

import streamlit as st
from transformers import pipeline

# Load the Hugging Face model
generator = pipeline("text-generation", model="gpt-2")

# Streamlit app setup
st.title("Donald Trump Style Text Generator")
st.write("Enter a prompt, and the model will respond in a manner inspired by Donald Trump.")

# User input
user_input = st.text_input("Enter your prompt:")

if user_input:
    # Prefix the prompt for stylistic guidance
    trump_prompt = f"In the style of Donald Trump: {user_input}"
    
    # Generate response with conversational tuning
    response = generator(
        trump_prompt, 
        max_length=100, 
        num_return_sequences=1, 
        do_sample=True, 
        temperature=0.8, 
        top_p=0.9
    )

    # Display the response
    generated_text = response[0]["generated_text"]
    st.write("Response:", generated_text)