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d265e96
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1 Parent(s): 21ba6d1

Update app.py

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Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -494,7 +494,7 @@ def _init_kokoro() -> None:
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  )
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- def Kokoro_TextToAudio( # <-- MCP tool #4 (Kokoro TTS)
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  text: Annotated[str, "The text to synthesize (English)."],
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  speed: Annotated[float, "Speech speed multiplier in 0.5–2.0; 1.0 = normal speed."] = 1.0,
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  voice: Annotated[str, "Voice identifier. Example: 'af_heart' (US English, female, Heart)."] = "af_heart",
@@ -646,7 +646,7 @@ CSS_STYLES = """
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  # --- Kokoro TTS tab (text to speech) ---
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  kokoro_interface = gr.Interface(
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- fn=Kokoro_TextToAudio,
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  inputs=[
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  gr.Textbox(label="Text", placeholder="Type text to synthesize…", lines=4),
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  gr.Slider(minimum=0.5, maximum=2.0, value=1.0, step=0.1, label="Speed"),
@@ -671,7 +671,7 @@ kokoro_interface = gr.Interface(
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  HF_API_TOKEN = os.getenv("HF_READ_TOKEN")
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- def Image_Generation( # <-- MCP tool #5 (Image Generation)
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  prompt: Annotated[str, "Text description of the image to generate."],
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  model_id: Annotated[str, "Hugging Face model id in the form 'creator/model-name' (e.g., black-forest-labs/FLUX.1-Krea-dev)."] = "black-forest-labs/FLUX.1-Krea-dev",
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  negative_prompt: Annotated[str, "What should NOT appear in the image." ] = (
@@ -753,7 +753,7 @@ def Image_Generation( # <-- MCP tool #5 (Image Generation)
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  image_generation_interface = gr.Interface(
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- fn=Image_Generation,
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  inputs=[
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  gr.Textbox(label="Prompt", placeholder="Enter a prompt", lines=2),
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  gr.Textbox(label="Model", value="black-forest-labs/FLUX.1-Krea-dev", placeholder="creator/model-name"),
 
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  )
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+ def Generate_Speech( # <-- MCP tool #4 (Generate Speech)
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  text: Annotated[str, "The text to synthesize (English)."],
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  speed: Annotated[float, "Speech speed multiplier in 0.5–2.0; 1.0 = normal speed."] = 1.0,
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  voice: Annotated[str, "Voice identifier. Example: 'af_heart' (US English, female, Heart)."] = "af_heart",
 
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  # --- Kokoro TTS tab (text to speech) ---
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  kokoro_interface = gr.Interface(
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+ fn=Generate_Speech,
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  inputs=[
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  gr.Textbox(label="Text", placeholder="Type text to synthesize…", lines=4),
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  gr.Slider(minimum=0.5, maximum=2.0, value=1.0, step=0.1, label="Speed"),
 
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  HF_API_TOKEN = os.getenv("HF_READ_TOKEN")
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+ def Generate_Image( # <-- MCP tool #5 (Generate Image)
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  prompt: Annotated[str, "Text description of the image to generate."],
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  model_id: Annotated[str, "Hugging Face model id in the form 'creator/model-name' (e.g., black-forest-labs/FLUX.1-Krea-dev)."] = "black-forest-labs/FLUX.1-Krea-dev",
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  negative_prompt: Annotated[str, "What should NOT appear in the image." ] = (
 
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  image_generation_interface = gr.Interface(
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+ fn=Generate_Image,
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  inputs=[
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  gr.Textbox(label="Prompt", placeholder="Enter a prompt", lines=2),
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  gr.Textbox(label="Model", value="black-forest-labs/FLUX.1-Krea-dev", placeholder="creator/model-name"),