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import gradio as gr
def my_function(input):
# Include your name in the output or any other specific logic you want
return f"Processed by Aumkar's model: {input}"
# Load the FLAN-T5 model
model = gr.load("models/google/flan-t5-large")
# Create an interface with your custom function
interface = gr.Interface(fn=my_function, inputs="text", outputs="text")
# Launch the interface
interface.launch(share=True) |