acecalisto3 commited on
Commit
fbeadb6
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1 Parent(s): e70d99e

Update app.py

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Files changed (1) hide show
  1. app.py +4 -7
app.py CHANGED
@@ -14,7 +14,7 @@ trigger_word = "lineart,LineAniAF,"
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  # Hard set prompt template
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  hard_set_prompt = (
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  "minimalist black and white single-line art illustration of [subject], created in one continuous, unbroken stroke from start to finish. "
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- "The design uses true black and true white values only, with no gradients or gray tones. The artwork emphasizes clean, connected, and flowing lines, there is no background. Only single, varied-width-as-needed black line art on a blank background,"
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  "resulting in a sleek, modern aesthetic. The [subject] is depicted in a dynamic and recognizable pose, optimized for artistic purposes and ready for 3D printing applications."
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  )
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@@ -23,15 +23,12 @@ constraints = (
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  "NEVER use anything besides a single black line of varying widths as necessary to achieve a result of the user's request."
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  )
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-
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  def generate_image(prompt):
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  print("Generating image with prompt:", prompt)
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  api_url = f"https://api-inference.huggingface.co/models/{repo}"
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- token = os.getenv("HF_TOKEN") # Fetch from environment
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- if not token:
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- raise ValueError("HF_TOKEN environment variable is not set.")
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  headers = {
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- "Authorization": f"Bearer {token}"
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  }
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  # Incorporate the hard set prompt and constraints
@@ -88,4 +85,4 @@ iface = gr.Interface(
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  )
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  print("Launching Gradio interface...")
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- iface.launch()
 
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  # Hard set prompt template
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  hard_set_prompt = (
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  "minimalist black and white single-line art illustration of [subject], created in one continuous, unbroken stroke from start to finish. "
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+ "The design uses true black and true white values only, with no gradients or gray tones. The artwork emphasizes clean, connected, and flowing lines, "
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  "resulting in a sleek, modern aesthetic. The [subject] is depicted in a dynamic and recognizable pose, optimized for artistic purposes and ready for 3D printing applications."
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  )
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  "NEVER use anything besides a single black line of varying widths as necessary to achieve a result of the user's request."
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  )
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  def generate_image(prompt):
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  print("Generating image with prompt:", prompt)
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  api_url = f"https://api-inference.huggingface.co/models/{repo}"
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+ # token = os.getenv("API_TOKEN") # Uncomment and use your Hugging Face API token
 
 
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  headers = {
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+ # "Authorization": f"Bearer {token}"
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  }
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  # Incorporate the hard set prompt and constraints
 
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  )
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  print("Launching Gradio interface...")
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+ iface.launch()