app_build_command: npm run build in your README's YAML and app_file: build/index.html in your README's YAML block.
medium size is now available as a power-user featurelarge (70GB VRAM)โbut this paves the way for:medium will offer significantly more usage than large)xlarge size (141GB VRAM)auto (future default)mediumlarge (current default)largemedium
Categorizing Un-Safe Content :Collection :
it's trained to think - probably with the idea to punctually use /no_think for some messages in a conversation where you don't want it to :) (The no think is probably more a product feature than something means to be used as default)
mcp_server=True in launch()import gradio as gr
def letter_counter(word, letter):
"""Count the occurrences of a specific letter in a word.
Args:
word: The word or phrase to analyze
letter: The letter to count occurrences of
Returns:
The number of times the letter appears in the word
"""
return word.lower().count(letter.lower())
demo = gr.Interface(
fn=letter_counter,
inputs=["text", "text"],
outputs="number",
title="Letter Counter",
description="Count how many times a letter appears in a word"
)
demo.launch(mcp_server=True)
