DeepSite - 🧬 RemixCreate stunning Streamlit and Gradio applications with our no-code builder and multi-model AI integration.
Advanced text generation
Image generation
Conversational AI
Speech recognition
This is where the AI-generated response will appear. The output will change based on the model you've selected and the input you provide.
import streamlit as st
from transformers import pipeline
# Set up the page
st.set_page_config(page_title="My AI App", layout="wide")
st.title("My AI App")
# Initialize the model
@st.cache_resource
def load_model():
return pipeline("text-generation", model="gpt2")
model = load_model()
# User input
user_input = st.text_area("Enter your prompt", placeholder="Type something...")
# Generate response
if st.button("Submit"):
if user_input:
with st.spinner("Generating response..."):
response = model(user_input, max_length=100, num_return_sequences=1)
st.write(response[0]['generated_text'])
else:
st.warning("Please enter a prompt")
Deploy directly to Streamlit's free hosting service.
Push to GitHub repository for CI/CD integration.
Download as Python file to run locally or elsewhere.
Make sure you have Python 3.7+ installed. For GPU acceleration, ensure proper CUDA setup if using local deployment.
Seamlessly switch between different AI models including OpenAI, Anthropic, and open-source alternatives.
Get clean, production-ready Python code for both Streamlit and Gradio frameworks.
Deploy your apps directly to Streamlit Cloud, Hugging Face Spaces, or export to GitHub.