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import gradio as gr
#from transformers import AutoModelForSequenceClassification, AutoTokenizer
#from transformers import BertTokenizer, BertLMHeadModel
# Load pre-trained model and tokenizer
#tokenizer = BertTokenizer.from_pretrained('clinicalBERT')
#model = BertLMHeadModel.from_pretrained('clinicalBERT')
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("medicalai/ClinicalBERT")
model = AutoModel.from_pretrained("medicalai/ClinicalBERT")
# Define a function to generate text using the model
def generate_text(input_text):
input_ids = tokenizer.encode(input_text, return_tensors='pt')
output = model.generate(input_ids)
return tokenizer.decode(output[0], skip_special_tokens=True)
interface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
interface.launch()
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