Spaces:
Runtime error
Runtime error
add files
Browse files- app.py +49 -0
- requirements.txt +1 -0
app.py
ADDED
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
3 |
+
|
4 |
+
model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-1b3", use_cache=True)
|
5 |
+
tokenizer = AutoTokenizer.from_pretrained("bigscience/bloom-1b3")
|
6 |
+
|
7 |
+
def post_process_sentence(input_sentence, generated_sentence):
|
8 |
+
new_sentence = generated_sentence.replace(input_sentence, "")
|
9 |
+
if "\n" not in new_sentence:
|
10 |
+
return generated_sentence.replace(" ", " ") + "\n- "
|
11 |
+
else:
|
12 |
+
return (input_sentence + new_sentence.split("\n")[0]).replace(" ", " ") + "\n- "
|
13 |
+
|
14 |
+
def generate_single(model, tokenizer, input_sentence, max_length=50, top_k=0, temperature=0.7):
|
15 |
+
input_ids = tokenizer.encode(input_sentence, return_tensors="pt")
|
16 |
+
output = model.generate(
|
17 |
+
input_ids, do_sample=True,
|
18 |
+
max_length=len(input_sentence)+max_length,
|
19 |
+
top_k=top_k,
|
20 |
+
temperature=temperature
|
21 |
+
)
|
22 |
+
generated_sentence = tokenizer.decode(output[0], skip_special_tokens=True)
|
23 |
+
return post_process_sentence(input_sentence, generated_sentence)
|
24 |
+
|
25 |
+
def question_bloom(input_sentence, max_length, temperature):
|
26 |
+
post_processed_output = generate_single(model, tokenizer, input_sentence, temperature=temperature, max_length=max_length)
|
27 |
+
return post_processed_output.split("\n-")[-2]
|
28 |
+
|
29 |
+
gr.Interface(
|
30 |
+
question_bloom,
|
31 |
+
[
|
32 |
+
gr.Textbox(lines=10, label="Input code"),
|
33 |
+
gr.inputs.Slider(
|
34 |
+
minimum=8,
|
35 |
+
maximum=256,
|
36 |
+
step=1,
|
37 |
+
default=8,
|
38 |
+
label="Number of tokens to generate",
|
39 |
+
),
|
40 |
+
gr.inputs.Slider(
|
41 |
+
minimum=0,
|
42 |
+
maximum=2,
|
43 |
+
step=0.1,
|
44 |
+
default=0.6,
|
45 |
+
label="Temperature",
|
46 |
+
),
|
47 |
+
],
|
48 |
+
outputs=gr.Textbox(label="Predicted sentence", lines=10),
|
49 |
+
).launch()
|
requirements.txt
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
transformers
|