Update README.md

README.md

@@ -23,15 +23,15 @@ from transformers import pipeline
 pipe = pipeline(model="InstaDeepAI/ChatNT-text-generation-pipeline", trust_remote_code=True)
 
 # Define custom inputs (note that the number of <DNA> token in the english sequence must be equal to len(dna_sequences))
-english_sequence = "A chat between a curious user and an artificial intelligence assistant that can handle bio sequences. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: Is there any evidence of an acceptor splice site in this sequence <DNA> ?"
+english_sequence = "Is there any evidence of an acceptor splice site in this sequence <DNA> ?"
 dna_sequences = ["ATCGGAAAAAGATCCAGAAAGTTATACCAGGCCAATGGGAATCACCTATTACGTGGATAATAGCGATAGTATGTTACCTATAAATTTAACTACGTGGATATCAGGCAGTTACGTTACCAGTCAAGGAGCACCCAAAACTGTCCAGCAACAAGTTAATTTACCCATGAAGATGTACTGCAAGCCTTGCCAACCAGTTAAAGTAGCTACTCATAAGGTAATAAACAGTAATATCGACTTTTTATCCATTTTGATAATTGATTTATAACAGTCTATAACTGATCGCTCTACATAATCTCTATCAGATTACTATTGACACAAACAGAAACCCCGTTAATTTGTATGATATATTTCCCGGTAAGCTTCGATTTTTAATCCTATCGTGACAATTTGGAATGTAACTTATTTCGTATAGGATAAACTAATTTACACGTTTGAATTCCTAGAATATGGAGAATCTAAAGGTCCTGGCAATGCCATCGGCTTTCAATATTATAATGGACCAAAAGTTACTCTATTAGCTTCCAAAACTTCGCGTGAGTACATTAGAACAGAAGAATAACCTTCAATATCGAGAGAGTTACTATCACTAACTATCCTATG"]
 
 # Generate sequence
 generated_english_sequence = pipe(
-    inputs={"english_sequence": english_sequence, "dna_sequences": dna_sequences},
-    max_num_tokens_to_decode=50, # Max number of tokens to be generated
-    english_tokens_max_length=512, # Used to pad or truncate the english tokens
-    bio_tokens_max_length=512, # Used to pad or truncate the DNA tokens
+  inputs={
+    "english_sequence": english_sequence,
+    "dna_sequences": dna_sequences
+  }
 )
 ```