upgrade gradio
Browse files- README.md +1 -1
- app.py +2 -2
- requirements.txt +1 -1
README.md
CHANGED
|
@@ -4,7 +4,7 @@ emoji: ✍️🎥📄
|
|
| 4 |
colorFrom: red
|
| 5 |
colorTo: gray
|
| 6 |
sdk: gradio
|
| 7 |
-
sdk_version: 3.0.
|
| 8 |
app_file: app.py
|
| 9 |
pinned: false
|
| 10 |
---
|
|
|
|
| 4 |
colorFrom: red
|
| 5 |
colorTo: gray
|
| 6 |
sdk: gradio
|
| 7 |
+
sdk_version: 3.0.6
|
| 8 |
app_file: app.py
|
| 9 |
pinned: false
|
| 10 |
---
|
app.py
CHANGED
|
@@ -51,8 +51,8 @@ for file in samples_data:
|
|
| 51 |
SAMPLES.append(sample)
|
| 52 |
VIDEOS = list(map(lambda x: [x['video']], SAMPLES))
|
| 53 |
|
| 54 |
-
total_inferences_since_reboot =
|
| 55 |
-
total_cuts_since_reboot =
|
| 56 |
|
| 57 |
|
| 58 |
async def speech_to_text(video_file_path):
|
|
|
|
| 51 |
SAMPLES.append(sample)
|
| 52 |
VIDEOS = list(map(lambda x: [x['video']], SAMPLES))
|
| 53 |
|
| 54 |
+
total_inferences_since_reboot = 333
|
| 55 |
+
total_cuts_since_reboot = 1254
|
| 56 |
|
| 57 |
|
| 58 |
async def speech_to_text(video_file_path):
|
requirements.txt
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
torch
|
| 2 |
transformers
|
| 3 |
-
gradio==3.0.
|
| 4 |
datasets
|
| 5 |
librosa
|
| 6 |
ffmpeg-python
|
|
|
|
| 1 |
torch
|
| 2 |
transformers
|
| 3 |
+
gradio==3.0.6
|
| 4 |
datasets
|
| 5 |
librosa
|
| 6 |
ffmpeg-python
|