Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -1,9 +1,12 @@
|
|
|
|
|
|
1 |
from transformers import pipeline, BlipForConditionalGeneration, BlipProcessor
|
2 |
import torchaudio
|
3 |
from torchaudio.transforms import Resample
|
4 |
import torch
|
5 |
import gradio as gr
|
6 |
-
|
|
|
7 |
|
8 |
# Initialize TTS model from Hugging Face
|
9 |
tts_model_name = "Kamonwan/blip-image-captioning-new"
|
@@ -14,8 +17,6 @@ model_id = "Kamonwan/blip-image-captioning-new"
|
|
14 |
blip_model = BlipForConditionalGeneration.from_pretrained(model_id)
|
15 |
blip_processor = BlipProcessor.from_pretrained(model_id)
|
16 |
|
17 |
-
app = Flask(__name__)
|
18 |
-
|
19 |
def generate_caption(image):
|
20 |
# Generate caption from image using Blip model
|
21 |
inputs = blip_processor(images=image, return_tensors="pt")
|
@@ -38,35 +39,7 @@ def generate_caption_api():
|
|
38 |
|
39 |
@app.route('/')
|
40 |
def index():
|
41 |
-
return
|
42 |
-
<!DOCTYPE html>
|
43 |
-
<html lang="en">
|
44 |
-
<head>
|
45 |
-
<meta charset="UTF-8">
|
46 |
-
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
47 |
-
<title>Gradio Interface</title>
|
48 |
-
</head>
|
49 |
-
<body>
|
50 |
-
<h1>Gradio Interface</h1>
|
51 |
-
{{ gr_interface|safe }}
|
52 |
-
</body>
|
53 |
-
</html>
|
54 |
-
""", gr_interface=demo.get_interface())
|
55 |
|
56 |
if __name__ == '__main__':
|
57 |
-
demo = gr.Interface(
|
58 |
-
fn=generate_caption,
|
59 |
-
inputs=gr.Image(),
|
60 |
-
outputs=[
|
61 |
-
gr.Textbox(label="Generated caption"),
|
62 |
-
gr.Button("Convert to Audio"),
|
63 |
-
gr.Audio(type="filepath", label="Generated Audio")
|
64 |
-
],
|
65 |
-
live=True
|
66 |
-
)
|
67 |
-
|
68 |
-
# Start Gradio interface
|
69 |
-
demo.launch(share=True)
|
70 |
-
|
71 |
-
# Start Flask app
|
72 |
app.run(host='0.0.0.0', port=5000)
|
|
|
1 |
+
# app.py
|
2 |
+
from flask import Flask, render_template, request, jsonify
|
3 |
from transformers import pipeline, BlipForConditionalGeneration, BlipProcessor
|
4 |
import torchaudio
|
5 |
from torchaudio.transforms import Resample
|
6 |
import torch
|
7 |
import gradio as gr
|
8 |
+
|
9 |
+
app = Flask(__name__)
|
10 |
|
11 |
# Initialize TTS model from Hugging Face
|
12 |
tts_model_name = "Kamonwan/blip-image-captioning-new"
|
|
|
17 |
blip_model = BlipForConditionalGeneration.from_pretrained(model_id)
|
18 |
blip_processor = BlipProcessor.from_pretrained(model_id)
|
19 |
|
|
|
|
|
20 |
def generate_caption(image):
|
21 |
# Generate caption from image using Blip model
|
22 |
inputs = blip_processor(images=image, return_tensors="pt")
|
|
|
39 |
|
40 |
@app.route('/')
|
41 |
def index():
|
42 |
+
return render_template("index.html")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
43 |
|
44 |
if __name__ == '__main__':
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
45 |
app.run(host='0.0.0.0', port=5000)
|