Spaces:
Runtime error
Runtime error
mblackman
commited on
Commit
•
b04c5a8
1
Parent(s):
1df8c04
Added label UI and added min karma threshold
Browse files- app.py +29 -7
- requirements.txt +2 -1
app.py
CHANGED
@@ -3,8 +3,19 @@ import gradio as gr
|
|
3 |
import praw
|
4 |
from praw.models import MoreComments
|
5 |
import os
|
|
|
|
|
|
|
6 |
|
7 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
8 |
reddit = praw.Reddit(
|
9 |
client_id=os.environ.get("reddit_client_id"),
|
10 |
client_secret=os.environ.get("reddit_client_secret"),
|
@@ -33,18 +44,28 @@ vibes = [
|
|
33 |
]
|
34 |
|
35 |
|
36 |
-
def vibe_check(url):
|
37 |
comments = get_comments(url)
|
38 |
-
comments.sort(key=comment_compare, reverse=True)
|
39 |
-
comment_bodies = [c["Comment"] for c in comments[
|
|
|
|
|
40 |
|
|
|
|
|
41 |
classes = pipe(
|
42 |
comment_bodies,
|
43 |
candidate_labels=vibes,
|
44 |
)
|
|
|
45 |
|
46 |
-
|
47 |
|
|
|
|
|
|
|
|
|
|
|
48 |
|
49 |
def get_comments(url):
|
50 |
submission = reddit.submission(url=url)
|
@@ -71,11 +92,12 @@ def comment_compare(comment):
|
|
71 |
|
72 |
with gr.Blocks() as demo:
|
73 |
url = gr.Textbox(label="Url")
|
74 |
-
|
|
|
75 |
submit_button = gr.Button("Submit")
|
76 |
|
77 |
submit_button.click(
|
78 |
-
fn=vibe_check, inputs=url, outputs=output, api_name="vibe_check"
|
79 |
)
|
80 |
|
81 |
gr.Examples(
|
|
|
3 |
import praw
|
4 |
from praw.models import MoreComments
|
5 |
import os
|
6 |
+
from statistics import mean
|
7 |
+
import torch
|
8 |
+
import time
|
9 |
|
10 |
+
MIN_SCORE_THRESHOLD=50
|
11 |
+
|
12 |
+
device = 0
|
13 |
+
if not torch.cuda.is_available():
|
14 |
+
print("GPU isn't available. Running on CPU.")
|
15 |
+
device = -1
|
16 |
+
|
17 |
+
|
18 |
+
pipe = pipeline(model="facebook/bart-large-mnli", device=device)
|
19 |
reddit = praw.Reddit(
|
20 |
client_id=os.environ.get("reddit_client_id"),
|
21 |
client_secret=os.environ.get("reddit_client_secret"),
|
|
|
44 |
]
|
45 |
|
46 |
|
47 |
+
def vibe_check(url, min_karma):
|
48 |
comments = get_comments(url)
|
49 |
+
#comments.sort(key=comment_compare, reverse=True)
|
50 |
+
comment_bodies = [c["Comment"] for c in comments if c["Score"] > int(min_karma)]
|
51 |
+
|
52 |
+
print("Total comments: " + str(len(comment_bodies)))
|
53 |
|
54 |
+
print("Starting comment classification.")
|
55 |
+
start = time.time()
|
56 |
classes = pipe(
|
57 |
comment_bodies,
|
58 |
candidate_labels=vibes,
|
59 |
)
|
60 |
+
end = time.time()
|
61 |
|
62 |
+
print("Comment classification took: " + str(end - start) + "ms")
|
63 |
|
64 |
+
averages = {}
|
65 |
+
for i in range(len(vibes)):
|
66 |
+
averages[vibes[i]] = mean([c["scores"][i] for c in classes])
|
67 |
+
|
68 |
+
return averages
|
69 |
|
70 |
def get_comments(url):
|
71 |
submission = reddit.submission(url=url)
|
|
|
92 |
|
93 |
with gr.Blocks() as demo:
|
94 |
url = gr.Textbox(label="Url")
|
95 |
+
min_karma = gr.Textbox(label="Minimum Karma", value=MIN_SCORE_THRESHOLD)
|
96 |
+
output = gr.Label(label="Output", num_top_classes=5)
|
97 |
submit_button = gr.Button("Submit")
|
98 |
|
99 |
submit_button.click(
|
100 |
+
fn=vibe_check, inputs=[url, min_karma], outputs=output, api_name="vibe_check"
|
101 |
)
|
102 |
|
103 |
gr.Examples(
|
requirements.txt
CHANGED
@@ -2,4 +2,5 @@ pylint
|
|
2 |
transformers
|
3 |
torch
|
4 |
praw
|
5 |
-
gradio
|
|
|
|
2 |
transformers
|
3 |
torch
|
4 |
praw
|
5 |
+
gradio
|
6 |
+
torch
|