multimodalart HF Staff commited on
Commit
8ec0499
·
verified ·
1 Parent(s): a6c2e72

Update app.py

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Files changed (1) hide show
  1. app.py +3 -19
app.py CHANGED
@@ -4,18 +4,8 @@ import os
4
  from typing import Optional, List
5
  from huggingface_hub import whoami
6
 
7
- # It is recommended to create this as a Secret on your Hugging Face Space
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- # For example: FAL_KEY = "fal_key_..."
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- FAL_KEY = os.getenv("FAL_KEY", "")
10
 
11
- # Set the key for the fal_client
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- if FAL_KEY:
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- fal_client.api_key = FAL_KEY
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-
15
- def get_fal_key():
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- """Checks for the FAL_KEY and raises a Gradio error if it's not set."""
17
- if not FAL_KEY:
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- raise gr.Error("FAL_KEY is not set. Please add it to your Hugging Face Space secrets.")
19
 
20
  def verify_pro_status(token: Optional[gr.OAuthToken]) -> bool:
21
  """Verifies if the user is a Hugging Face PRO user using their token."""
@@ -32,7 +22,6 @@ def verify_pro_status(token: Optional[gr.OAuthToken]) -> bool:
32
 
33
  def run_single_image_logic(prompt: str, image: Optional[str] = None) -> str:
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  """Handles text-to-image or single image-to-image and returns a single URL string."""
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- get_fal_key()
36
  if image:
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  image_url = fal_client.upload_file(image)
38
  result = fal_client.run(
@@ -50,7 +39,6 @@ def run_multi_image_logic(prompt: str, images: List[str]) -> str:
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  """
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  Handles multi-image editing by sending a list of URLs in a single API call.
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  """
53
- get_fal_key()
54
  if not images:
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  raise gr.Error("Please upload at least one image in the 'Multiple Images' tab.")
56
 
@@ -75,7 +63,7 @@ with gr.Blocks(theme=gr.themes.Citrus()) as demo:
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  main_interface = gr.Column(visible=False)
76
 
77
  with main_interface:
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- gr.Markdown("## Thanks for being a PRO User! 🤗")
79
  with gr.Row():
80
  with gr.Column(scale=1):
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  active_tab_state = gr.State(value="single")
@@ -96,13 +84,11 @@ with gr.Blocks(theme=gr.themes.Citrus()) as demo:
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  )
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  generate_button = gr.Button("Generate", variant="primary")
98
 
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- # RIGHT COLUMN: Outputs
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  with gr.Column(scale=1):
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  output_image = gr.Image(label="Output", interactive=False)
102
  use_image_button = gr.Button("♻️ Use this Image for Next Edit")
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104
  # --- Event Handlers ---
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-
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  def unified_generator(
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  prompt: str,
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  single_image: Optional[str],
@@ -126,10 +112,8 @@ with gr.Blocks(theme=gr.themes.Citrus()) as demo:
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  outputs=[output_image],
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  )
128
 
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- # Corrected handler for the continuous editing loop.
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- # It takes the output image and directly returns it to be used as the input.
131
  use_image_button.click(
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- lambda img: img, # A simple function that returns its input
133
  inputs=[output_image],
134
  outputs=[image_input]
135
  )
 
4
  from typing import Optional, List
5
  from huggingface_hub import whoami
6
 
 
 
 
7
 
8
+ fal_client.api_key = FAL_KEY
 
 
 
 
 
 
 
9
 
10
  def verify_pro_status(token: Optional[gr.OAuthToken]) -> bool:
11
  """Verifies if the user is a Hugging Face PRO user using their token."""
 
22
 
23
  def run_single_image_logic(prompt: str, image: Optional[str] = None) -> str:
24
  """Handles text-to-image or single image-to-image and returns a single URL string."""
 
25
  if image:
26
  image_url = fal_client.upload_file(image)
27
  result = fal_client.run(
 
39
  """
40
  Handles multi-image editing by sending a list of URLs in a single API call.
41
  """
 
42
  if not images:
43
  raise gr.Error("Please upload at least one image in the 'Multiple Images' tab.")
44
 
 
63
  main_interface = gr.Column(visible=False)
64
 
65
  with main_interface:
66
+ gr.Markdown("## Thanks for being a PRO! 🤗")
67
  with gr.Row():
68
  with gr.Column(scale=1):
69
  active_tab_state = gr.State(value="single")
 
84
  )
85
  generate_button = gr.Button("Generate", variant="primary")
86
 
 
87
  with gr.Column(scale=1):
88
  output_image = gr.Image(label="Output", interactive=False)
89
  use_image_button = gr.Button("♻️ Use this Image for Next Edit")
90
 
91
  # --- Event Handlers ---
 
92
  def unified_generator(
93
  prompt: str,
94
  single_image: Optional[str],
 
112
  outputs=[output_image],
113
  )
114
 
 
 
115
  use_image_button.click(
116
+ lambda img: img,
117
  inputs=[output_image],
118
  outputs=[image_input]
119
  )