Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
import subprocess
|
3 |
+
import os
|
4 |
+
import shutil
|
5 |
+
import tempfile
|
6 |
+
|
7 |
+
from huggingface_hub import snapshot_download
|
8 |
+
|
9 |
+
# Create xcodec_mini_infer folder
|
10 |
+
folder_path = './inference/xcodec_mini_infer'
|
11 |
+
|
12 |
+
# Create the folder if it doesn't exist
|
13 |
+
if not os.path.exists(folder_path):
|
14 |
+
os.mkdir(folder_path)
|
15 |
+
print(f"Folder created at: {folder_path}")
|
16 |
+
else:
|
17 |
+
print(f"Folder already exists at: {folder_path}")
|
18 |
+
|
19 |
+
snapshot_download(
|
20 |
+
repo_id = "m-a-p/xcodec_mini_infer",
|
21 |
+
local_dir = "./inference/xcodec_mini_infer"
|
22 |
+
)
|
23 |
+
|
24 |
+
# Change to the "inference" directory
|
25 |
+
inference_dir = "./inference"
|
26 |
+
try:
|
27 |
+
os.chdir(inference_dir)
|
28 |
+
print(f"Changed working directory to: {os.getcwd()}")
|
29 |
+
except FileNotFoundError:
|
30 |
+
print(f"Directory not found: {inference_dir}")
|
31 |
+
exit(1)
|
32 |
+
|
33 |
+
# Function to create a temporary file with string content
|
34 |
+
def create_temp_file(content, prefix, suffix=".txt"):
|
35 |
+
temp_file = tempfile.NamedTemporaryFile(delete=False, mode="w", prefix=prefix, suffix=suffix)
|
36 |
+
temp_file.write(content)
|
37 |
+
temp_file.close()
|
38 |
+
return temp_file.name
|
39 |
+
|
40 |
+
def infer(genre_txt_content, lyrics_txt_content):
|
41 |
+
# Create temporary files
|
42 |
+
genre_txt_path = create_temp_file(genre_txt_content, prefix="genre_")
|
43 |
+
lyrics_txt_path = create_temp_file(lyrics_txt_content, prefix="lyrics_")
|
44 |
+
|
45 |
+
# Ensure the output folder exists
|
46 |
+
output_dir = "./output"
|
47 |
+
os.makedirs(output_dir, exist_ok=True)
|
48 |
+
print(f"Output folder ensured at: {output_dir}")
|
49 |
+
|
50 |
+
|
51 |
+
# Command and arguments
|
52 |
+
command = [
|
53 |
+
"python", "infer.py",
|
54 |
+
"--stage1_model", "m-a-p/YuE-s1-7B-anneal-en-cot",
|
55 |
+
"--stage2_model", "m-a-p/YuE-s2-1B-general",
|
56 |
+
"--genre_txt", f"{genre_txt_path}",
|
57 |
+
"--lyrics_txt", f"{lyrics_txt_path}",
|
58 |
+
"--run_n_segments", "2",
|
59 |
+
"--stage2_batch_size", "4",
|
60 |
+
"--output_dir", f"{output_dir}",
|
61 |
+
"--cuda_idx", "0",
|
62 |
+
"--max_new_tokens", "3000"
|
63 |
+
]
|
64 |
+
|
65 |
+
# Execute the command
|
66 |
+
try:
|
67 |
+
subprocess.run(command, check=True)
|
68 |
+
print("Command executed successfully!")
|
69 |
+
|
70 |
+
# Check and print the contents of the output folder
|
71 |
+
output_files = os.listdir(output_dir)
|
72 |
+
if output_files:
|
73 |
+
print("Output folder contents:")
|
74 |
+
for file in output_files:
|
75 |
+
print(f"- {file}")
|
76 |
+
else:
|
77 |
+
print("Output folder is empty.")
|
78 |
+
return None
|
79 |
+
except subprocess.CalledProcessError as e:
|
80 |
+
print(f"Error occurred: {e}")
|
81 |
+
return None
|
82 |
+
finally:
|
83 |
+
# Clean up temporary files
|
84 |
+
os.remove(genre_txt_path)
|
85 |
+
os.remove(lyrics_txt_path)
|
86 |
+
print("Temporary files deleted.")
|
87 |
+
|
88 |
+
# Gradio
|
89 |
+
|
90 |
+
with gr.Blocks() as demo:
|
91 |
+
with gr.Column():
|
92 |
+
gr.Markdown("# YuE")
|
93 |
+
with gr.Row():
|
94 |
+
with gr.Column():
|
95 |
+
genre_txt = gr.Textbox(label="Genre")
|
96 |
+
lyrics_txt = gr.Textbox(label="Lyrics")
|
97 |
+
submit_btn = gr.Button("Submit")
|
98 |
+
with gr.Column():
|
99 |
+
music_out = gr.Audio(label="Audio Result")
|
100 |
+
|
101 |
+
submit_btn.click(
|
102 |
+
fn = infer,
|
103 |
+
inputs = [genre_txt, lyrics_txt],
|
104 |
+
outputs = [music_out]
|
105 |
+
)
|
106 |
+
demo.queue().launch(show_api=False, show_error=True)
|