Update app.py
Browse files
app.py
CHANGED
|
@@ -3,6 +3,28 @@ from transformers import pipeline
|
|
| 3 |
import torch
|
| 4 |
import gradio as gr
|
| 5 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
|
| 7 |
|
| 8 |
# model_path = "Model/models--sshleifer--distilbart-cnn-12-6/snapshots/a4f8f3ea906ed274767e9906dbaede7531d660ff"
|
|
@@ -25,6 +47,17 @@ text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6",
|
|
| 25 |
|
| 26 |
def summary(input):
|
| 27 |
output = text_summary(input)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 28 |
return output[0]['summary_text']
|
| 29 |
|
| 30 |
gr.close_all()
|
|
|
|
| 3 |
import torch
|
| 4 |
import gradio as gr
|
| 5 |
|
| 6 |
+
from huggingface_hub import CommitScheduler
|
| 7 |
+
from pathlib import Path
|
| 8 |
+
|
| 9 |
+
import os
|
| 10 |
+
import uuid
|
| 11 |
+
import joblib
|
| 12 |
+
import json
|
| 13 |
+
|
| 14 |
+
# Prepare the logging functionality
|
| 15 |
+
|
| 16 |
+
log_file = Path("logs/") / f"data_{uuid.uuid4()}.json"
|
| 17 |
+
log_folder = log_file.parent
|
| 18 |
+
|
| 19 |
+
scheduler = CommitScheduler(
|
| 20 |
+
repo_id="text-summarization-logs",
|
| 21 |
+
repo_type="dataset",
|
| 22 |
+
folder_path=log_folder,
|
| 23 |
+
path_in_repo="data",
|
| 24 |
+
every=2
|
| 25 |
+
)
|
| 26 |
+
|
| 27 |
+
|
| 28 |
text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
|
| 29 |
|
| 30 |
# model_path = "Model/models--sshleifer--distilbart-cnn-12-6/snapshots/a4f8f3ea906ed274767e9906dbaede7531d660ff"
|
|
|
|
| 47 |
|
| 48 |
def summary(input):
|
| 49 |
output = text_summary(input)
|
| 50 |
+
|
| 51 |
+
with scheduler.lock:
|
| 52 |
+
with log_file.open("a") as f:
|
| 53 |
+
f.write(json.dumps(
|
| 54 |
+
{
|
| 55 |
+
'Input Text': input,
|
| 56 |
+
'Summary':output[0]['summary_text']
|
| 57 |
+
}
|
| 58 |
+
))
|
| 59 |
+
f.write("\n")
|
| 60 |
+
|
| 61 |
return output[0]['summary_text']
|
| 62 |
|
| 63 |
gr.close_all()
|