Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -1,17 +1,30 @@
|
|
1 |
import gradio as gr
|
2 |
from transformers import pipeline
|
|
|
3 |
|
4 |
playground = gr.Blocks()
|
5 |
|
6 |
image_pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
|
7 |
summary_pipe = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
|
8 |
ner_pipe = pipeline("ner", model="dslim/bert-base-NER")
|
|
|
9 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
10 |
|
11 |
def launch_image_pipe(input):
|
12 |
out = image_pipe(input)
|
13 |
-
|
14 |
-
|
|
|
|
|
15 |
def translate(input_text, source, target):
|
16 |
try:
|
17 |
model = f"Helsinki-NLP/opus-mt-{source}-{target}"
|
@@ -99,16 +112,16 @@ with playground:
|
|
99 |
""")
|
100 |
with gr.Column(scale=1):
|
101 |
ITT_button = gr.Button(value="Start Process", variant="primary")
|
102 |
-
|
103 |
-
|
104 |
with gr.Row():
|
105 |
with gr.Column():
|
106 |
img = gr.Image(type='pil')
|
107 |
with gr.Column():
|
108 |
generated_textbox = gr.Textbox(lines=2, placeholder="", label="Generated Text")
|
|
|
109 |
ITT_Clear_button = gr.ClearButton(components=[img, generated_textbox], value="Clear")
|
110 |
|
111 |
-
ITT_button.click(launch_image_pipe, inputs=[img], outputs=[generated_textbox])
|
112 |
|
113 |
with gr.TabItem("Text"):
|
114 |
with gr.Row():
|
|
|
1 |
import gradio as gr
|
2 |
from transformers import pipeline
|
3 |
+
from IPython.display import Audio as IPythonAudio
|
4 |
|
5 |
playground = gr.Blocks()
|
6 |
|
7 |
image_pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
|
8 |
summary_pipe = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
|
9 |
ner_pipe = pipeline("ner", model="dslim/bert-base-NER")
|
10 |
+
narrator = pipeline("text-to-speech", model="./models/kakao-enterprise/vits-ljs")
|
11 |
|
12 |
+
def generate_audio(text):
|
13 |
+
# Generate speech from text
|
14 |
+
narrated_text = narrator(text)
|
15 |
+
audio_data = narrated_text["audio"][0]
|
16 |
+
sampling_rate = narrated_text["sampling_rate"]
|
17 |
+
|
18 |
+
# Use IPythonAudio to play the audio
|
19 |
+
audio = IPythonAudio(audio_data, rate=sampling_rate)
|
20 |
+
return audio
|
21 |
|
22 |
def launch_image_pipe(input):
|
23 |
out = image_pipe(input)
|
24 |
+
text = out[0]['generated_text']
|
25 |
+
audio = generate_audio(text)
|
26 |
+
return text, audio
|
27 |
+
|
28 |
def translate(input_text, source, target):
|
29 |
try:
|
30 |
model = f"Helsinki-NLP/opus-mt-{source}-{target}"
|
|
|
112 |
""")
|
113 |
with gr.Column(scale=1):
|
114 |
ITT_button = gr.Button(value="Start Process", variant="primary")
|
115 |
+
|
|
|
116 |
with gr.Row():
|
117 |
with gr.Column():
|
118 |
img = gr.Image(type='pil')
|
119 |
with gr.Column():
|
120 |
generated_textbox = gr.Textbox(lines=2, placeholder="", label="Generated Text")
|
121 |
+
audio_output = gr.Audio(label="Generated Audio")
|
122 |
ITT_Clear_button = gr.ClearButton(components=[img, generated_textbox], value="Clear")
|
123 |
|
124 |
+
ITT_button.click(launch_image_pipe, inputs=[img], outputs=[generated_textbox, audio_output])
|
125 |
|
126 |
with gr.TabItem("Text"):
|
127 |
with gr.Row():
|