import gradio as gr
from transformers import pipeline
from transformers import AutoTokenizer, AutoModelForSequenceClassification

# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained('AmirRghp/distilbert-base-uncasedimdb-text-classification')
model = AutoModelForSequenceClassification.from_pretrained('AmirRghp/distilbert-base-uncasedimdb-text-classification')

# Create the pipeline
classifier = pipeline('text-classification', model=model, tokenizer=tokenizer)

# Load your model from your Hugging Face profile
classifier = pipeline('text-classification', model='AmirRghp/distilbert-base-uncasedimdb-text-classification')

def classify_text(text):
    result = classifier(text)
    return result

gr.Interface(fn=classify_text, inputs="text", outputs="json").launch()