fffiloni commited on
Commit
7396afd
β€’
1 Parent(s): 6cc068b

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -9,18 +9,18 @@ caption = gr.Blocks.load(name="spaces/SRDdev/Image-Caption")
9
  audio_gen = gr.Blocks.load(name="spaces/fffiloni/audioldm-text-to-audio-generation-clone", api_key=token)
10
 
11
  ph_message="If you're not happy with sound result, you can manually describe the scene depicted in your image :)"
12
- def infer(image_input, manual_caption, duration_in, seed):
13
  print(duration_in)
14
  if manual_caption == "":
15
  cap = caption(image_input, fn_index=0)
16
  print("gpt2 caption: '" + cap + "' β€’ ")
17
- ph_update = "GP2 Caption: " + cap
18
  else:
19
  cap = manual_caption
20
  print("manual captiony: " + cap)
21
  ph_update=""
22
 
23
- sound = audio_gen(cap, duration_in, 2.5, seed, 3, fn_index=0)
24
 
25
  return cap, sound[1], gr.Textbox.update(placeholder=f"{ph_update}{ph_message}"), gr.Group.update(visible=True)
26
 
@@ -83,7 +83,7 @@ with gr.Blocks(css="style.css") as demo:
83
  manual_cap = gr.Textbox(label="Manual Image description (optional)", placeholder=ph_message)
84
  with gr.Row():
85
  duration_in = gr.Slider(minimum=5, maximum=10, step=5, value=5, label="Duration")
86
- seed_in = gr.Number(label="Seed", value=45)
87
  caption_output = gr.Textbox(label="Caption", visible=False, elem_id="text-caption")
88
  sound_output = gr.Audio(label="Result", elem_id="sound-output")
89
 
@@ -96,7 +96,7 @@ with gr.Blocks(css="style.css") as demo:
96
 
97
  gr.HTML(article)
98
 
99
- generate.click(infer, inputs=[input_img, manual_cap, duration_in, seed_in], outputs=[caption_output, sound_output, manual_cap, share_group], api_name="i2fx")
100
  share_button.click(None, [], [], _js=share_js)
101
 
102
  demo.queue(max_size=32).launch(debug=True)
 
9
  audio_gen = gr.Blocks.load(name="spaces/fffiloni/audioldm-text-to-audio-generation-clone", api_key=token)
10
 
11
  ph_message="If you're not happy with sound result, you can manually describe the scene depicted in your image :)"
12
+ def infer(image_input, manual_caption, duration_in):
13
  print(duration_in)
14
  if manual_caption == "":
15
  cap = caption(image_input, fn_index=0)
16
  print("gpt2 caption: '" + cap + "' β€’ ")
17
+ ph_update = "gpt2 caption: '" + cap + "' β€’ "
18
  else:
19
  cap = manual_caption
20
  print("manual captiony: " + cap)
21
  ph_update=""
22
 
23
+ sound = audio_gen(cap, duration_in, 2.5, 440, 3, fn_index=0)
24
 
25
  return cap, sound[1], gr.Textbox.update(placeholder=f"{ph_update}{ph_message}"), gr.Group.update(visible=True)
26
 
 
83
  manual_cap = gr.Textbox(label="Manual Image description (optional)", placeholder=ph_message)
84
  with gr.Row():
85
  duration_in = gr.Slider(minimum=5, maximum=10, step=5, value=5, label="Duration")
86
+ #seed_in = gr.Number(label="Seed", value=45)
87
  caption_output = gr.Textbox(label="Caption", visible=False, elem_id="text-caption")
88
  sound_output = gr.Audio(label="Result", elem_id="sound-output")
89
 
 
96
 
97
  gr.HTML(article)
98
 
99
+ generate.click(infer, inputs=[input_img, manual_cap, duration_in], outputs=[caption_output, sound_output, manual_cap, share_group], api_name="i2fx")
100
  share_button.click(None, [], [], _js=share_js)
101
 
102
  demo.queue(max_size=32).launch(debug=True)