Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -1,4 +1,5 @@
|
|
1 |
import gradio as gr
|
|
|
2 |
|
3 |
description = """
|
4 |
When in legal doubt, you better call BLOOM! Ask BLOOM any legal question:
|
@@ -9,14 +10,33 @@ examples = [["Adventurer is approached by a mysterious stranger in the tavern fo
|
|
9 |
|
10 |
|
11 |
|
12 |
-
|
13 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
|
15 |
demo = gr.Interface(
|
16 |
-
fn=
|
17 |
-
inputs=gr.Textbox(lines=
|
18 |
-
outputs="
|
19 |
-
|
20 |
-
description=description
|
|
|
21 |
)
|
|
|
22 |
demo.launch()
|
|
|
1 |
import gradio as gr
|
2 |
+
from transformers import pipeline
|
3 |
|
4 |
description = """
|
5 |
When in legal doubt, you better call BLOOM! Ask BLOOM any legal question:
|
|
|
10 |
|
11 |
|
12 |
|
13 |
+
generator = pipeline('text-generation', model='tomrb/bettercallbloom-3b')
|
14 |
+
|
15 |
+
def preprocess(text):
|
16 |
+
#We add 'Question :' and 'Answer #1:' at the start and end of the prompt
|
17 |
+
return "Question: " + text + "Answer #1:"
|
18 |
+
|
19 |
+
|
20 |
+
def generate(text):
|
21 |
+
|
22 |
+
preprocessed_text = preprocess(text)
|
23 |
+
result = generator(preprocessed_text, max_length=128)
|
24 |
+
output = re.split(r'\nQuestion:|Answer #|Title:',result[0]['generated_text'])[2]
|
25 |
+
|
26 |
+
return output
|
27 |
+
|
28 |
+
examples = [
|
29 |
+
["I started a company with a friend. What types of legal documents should we fill in to clarify the ownership of the company?"],
|
30 |
+
["[CA] I got a parking ticket in Toronto. How can I contest it?"],
|
31 |
+
]
|
32 |
|
33 |
demo = gr.Interface(
|
34 |
+
fn=generate,
|
35 |
+
inputs=gr.inputs.Textbox(lines=5, label="Input Text", placeholder = "Write your question here..."),
|
36 |
+
outputs=gr.outputs.Textbox(label="Generated Text"),
|
37 |
+
examples=examples,
|
38 |
+
description=description,
|
39 |
+
title=title
|
40 |
)
|
41 |
+
|
42 |
demo.launch()
|