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import gradio as gr | |
import replicate | |
# Authenticate with Replicate | |
replicate.Client(api_token="r8_bf0m2SnfXi6m1YcVGuAxekbghbxVfE02qgTqV") | |
# Define a function to use the model | |
def generate_image(prompt): | |
model = replicate.models.get("xarty8932/dream") | |
version = model.versions.get("5e3c45aa9c9896f86634175309490225e5a379a6a81c39abbf55eab2cd16b657") | |
output = version.predict(prompt=prompt) | |
return output | |
# Create a Gradio interface | |
iface = gr.Interface(fn=generate_image, inputs="text", outputs="image") | |
# Launch the interface | |
iface.launch() | |