updated app

app.py

@@ -3,45 +3,45 @@ from transformers import AutoTokenizer,AutoModelForSeq2SeqLM
 
 @st.cache(show_spinner=False, persist=True)
 def load_model(input_complex_sentence,model):
-\t
-\tbase_path = "flax-community/"
-\tmodel_path = base_path + model
-\ttokenizer = AutoTokenizer.from_pretrained(model_path)
-\tmodel     = AutoModelForSeq2SeqLM.from_pretrained(model_path)
-\t
-\ttokenized_sentence = tokenizer(input_complex_sentence,return_tensors="pt")
-\tresult = model.generate(tokenized_sentence['input_ids'],attention_mask = tokenized_sentence['attention_mask'],max_length=256,num_beams=5)
-\tgenerated_sentence = tokenizer.decode(result[0],skip_special_tokens=True)
-\t
-\treturn generated_sentence
+	
+	base_path = "flax-community/"
+	model_path = base_path + model
+	tokenizer = AutoTokenizer.from_pretrained(model_path)
+	model     = AutoModelForSeq2SeqLM.from_pretrained(model_path)
+	
+	tokenized_sentence = tokenizer(input_complex_sentence,return_tensors="pt")
+	result = model.generate(tokenized_sentence['input_ids'],attention_mask = tokenized_sentence['attention_mask'],max_length=256,num_beams=5)
+	generated_sentence = tokenizer.decode(result[0],skip_special_tokens=True)
+	
+	return generated_sentence
 
 def main():
 
-\tst.sidebar.title("🧠 Sentence Simplifier")
-\tst.title("Sentence Split in English using T5 Variants")
-\tst.write("Sentence Split is the task of **dividing a long Complex Sentence into Simple Sentences**")
-\t
-\tmodel = st.sidebar.selectbox(
-\t\t\t\t  "Please Choose the Model",
-\t\t\t\t   ("t5-base-wikisplit","t5-v1_1-base-wikisplit", "byt5-base-wikisplit","t5-large-wikisplit"))
+	st.sidebar.title("🧠Sentence Simplifier")
+	st.title("Sentence Split in English using T5 Variants")
+	st.write("Sentence Split is the task of **dividing a long Complex Sentence into Simple Sentences**")
+	
+	model = st.sidebar.selectbox(
+				  "Please Choose the Model",
+				   ("t5-base-wikisplit","t5-v1_1-base-wikisplit", "byt5-base-wikisplit","t5-large-wikisplit"))
 
-\tst.sidebar.write('''
-\t\t## Applications:
-\t\t* Sentence Simplification
-\t\t* Data Augmentation
-\t\t* Sentence Rephrase
-\t''')
+	st.sidebar.write('''
+		## Applications:
+		* Sentence Simplification
+		* Data Augmentation
+		* Sentence Rephrase
+	''')
 
-\tst.sidebar.write("[More Exploration](https://github.com/bhadreshpsavani/t5-sentence-split)")
-\t
-\texample = "Mary likes to play football in her freetime whenever she meets with her friends that are very nice people."
-\tinput_complex_sentence = st.text_area("Please type a Complex Sentence to split",example)
+	st.sidebar.write("[More Exploration](https://github.com/bhadreshpsavani/t5-sentence-split)")
+	
+	example = "Mary likes to play football in her freetime whenever she meets with her friends that are very nice people."
+	input_complex_sentence = st.text_area("Please type a Complex Sentence to split",example)
 
-\tif st.button('Split'):
-\t\twith st.spinner("Spliting Sentence...🧠"):
-\t\t\tgenerated_sentence = load_model(input_complex_sentence, model)
-\t\tst.write(generated_sentence)
+	if st.button('Split'):
+		with st.spinner("Spliting Sentence...🧠"):
+			generated_sentence = load_model(input_complex_sentence, model)
+		st.write(generated_sentence)
 
 
 if __name__ == "__main__":
-\tmain()
+	main()