Update app.py

app.py

@@ -1,17 +1,17 @@
 from transformers import AutoTokenizer, AutoModelForCausalLM
 import gradio as grad
-
 codegen_tkn = AutoTokenizer.from_pretrained("Salesforce/codegen-350M-mono")
 mdl = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-350M-mono")
 
 def codegen(intent):
 # give input as text which reflects intent of the program.
-    text = "write a function which takes 2 numbers as input and returns the larger of the two"
-    input_ids = codegen_tkn(intent, return_tensors="pt").input_ids
-    gen_ids = mdl.generate(input_ids, max_length=128)
-    response = codegen_tkn.decode(gen_ids[0], skip_special_tokens=True)
-    return response
-    
-output=grad.Textbox(lines=1, label="Generated Python Code",placeholder="")
+     #text = " write a function which takes 2 numbers as input and returns the larger of the two"
+     input_ids = codegen_tkn(intent, return_tensors="pt").input_ids
+
+     gen_ids = mdl.generate(input_ids, max_length=128)
+     response = codegen_tkn.decode(gen_ids[0], skip_special_tokens=True)
+     return response
+
+output=grad.Textbox(lines=1, label="Generated Python Code", placeholder="")
 inp=grad.Textbox(lines=1, label="Place your intent here")
 grad.Interface(codegen, inputs=inp, outputs=output).launch()