Spaces:
Sleeping
Sleeping
Arius XI
commited on
Commit
·
ae4d78a
1
Parent(s):
1673353
Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 2 |
+
import gradio as grad
|
| 3 |
+
|
| 4 |
+
codegen_tkn = AutoTokenizer.from_pretrained("Salesforce/codegen-350M-mono")
|
| 5 |
+
mdl = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-350M-mono")
|
| 6 |
+
|
| 7 |
+
def codegen(intent):
|
| 8 |
+
# give input as text which reflects intent of the program.
|
| 9 |
+
text = " write a function which takes 2 numbers as input
|
| 10 |
+
and returns the larger of the two"
|
| 11 |
+
input_ids = codegen_tkn(intent, return_tensors="pt").input_ids
|
| 12 |
+
gen_ids = mdl.generate(input_ids, max_length=128)
|
| 13 |
+
response = codegen_tkn.decode(gen_ids[0], skip_special_
|
| 14 |
+
tokens=True)
|
| 15 |
+
return response
|
| 16 |
+
|
| 17 |
+
output=grad.Textbox(lines=1, label="Generated Python Code",placeholder="")
|
| 18 |
+
inp=grad.Textbox(lines=1, label="Place your intent here")
|
| 19 |
+
grad.Interface(codegen, inputs=inp, outputs=output).launch()
|