Update README.md

README.md

@@ -28,7 +28,7 @@ pipe = pipeline("text2text-generation", model="mrSoul7766/AgriQBot")
 # Example user query
 user_query = "How can I increase the yield of my potato crop?"
 # Generate response
-answer = pipe(f"Q: {user_query}", max_length=512)
+answer = pipe(f"Q: {user_query}", max_length=256)
 # Print the generated answer
 print(answer[0]['generated_text'])
 ```
@@ -41,7 +41,7 @@ tokenizer = AutoTokenizer.from_pretrained("mrSoul7766/AgriQBot")
 model = AutoModelForSeq2SeqLM.from_pretrained("mrSoul7766/AgriQBot")
 
 # Set maximum generation length
-max_length = 512
+max_length = 256
 
 # Generate response with question as input
 input_ids = tokenizer.encode("Q: How can I increase the yield of my potato crop?", return_tensors="pt")