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import gradio as gr
# from transformers import pipeline
def greet(name):
return "Hello " + name + "!!"
# classifier = pipeline("sentiment-analysis")
# classifier(
# [
# "I've been waiting for a HuggingFace course my whole life.",
# "I hate this so much!",
# ]
# )
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()
# import torch
# from transformers import AutoTokenizer, AutoModelForSequenceClassification
# checkpoint = "distilbert-base-uncased-finetuned-sst-2-english"
# tokenizer = AutoTokenizer.from_pretrained(checkpoint)
# model = AutoModelForSequenceClassification.from_pretrained(checkpoint)
# sequences = ["I've been waiting for a HuggingFace course my whole life.", "So have I!"]
# tokens = tokenizer(sequences, padding=True, truncation=True, return_tensors="pt")
# output = model(**tokens) |