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salomonsky
commited on
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•
c8e026c
1
Parent(s):
7eae688
Update app.py
Browse files
app.py
CHANGED
@@ -14,9 +14,8 @@ HF_TOKEN_UPSCALER = os.environ.get("HF_TOKEN_UPSCALER")
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client = AsyncInferenceClient()
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llm_client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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# Directorio de almacenamiento de imágenes
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DATA_PATH = Path("./data")
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DATA_PATH.mkdir(exist_ok=True)
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def enable_lora(lora_add, basemodel):
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return basemodel if not lora_add else lora_add
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@@ -99,9 +98,7 @@ def get_storage():
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usage = sum([f['size'] for f in files])
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return [file["name"] for file in files], f"Uso total: {usage/(1024.0 ** 3):.3f}GB"
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css = """
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#col-container{ margin: 0 auto; max-width: 1024px;}
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"""
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with gr.Blocks(css=css, theme="Nymbo/Nymbo_Theme") as demo:
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with gr.Column(elem_id="col-container"):
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@@ -141,8 +138,9 @@ with gr.Blocks(css=css, theme="Nymbo/Nymbo_Theme") as demo:
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)
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with gr.Row():
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with gr.Column():
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file_list = gr.Gallery(label="Imágenes Guardadas")
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storage_info = gr.Text(label="Uso de Almacenamiento")
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demo.launch(allowed_paths=[str(DATA_PATH)])
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client = AsyncInferenceClient()
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llm_client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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DATA_PATH = Path("./data")
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DATA_PATH.mkdir(exist_ok=True)
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def enable_lora(lora_add, basemodel):
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return basemodel if not lora_add else lora_add
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usage = sum([f['size'] for f in files])
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return [file["name"] for file in files], f"Uso total: {usage/(1024.0 ** 3):.3f}GB"
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css = """#col-container{ margin: 0 auto; max-width: 1024px;}"""
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with gr.Blocks(css=css, theme="Nymbo/Nymbo_Theme") as demo:
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with gr.Column(elem_id="col-container"):
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)
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with gr.Row():
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with gr.Column():
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file_list = gr.Gallery(label="Imágenes Guardadas")
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storage_info = gr.Text(label="Uso de Almacenamiento")
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refresh_btn = gr.Button("Actualizar Galería")
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refresh_btn.click(fn=get_storage, inputs=None, outputs=[file_list, storage_info])
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demo.launch(allowed_paths=[str(DATA_PATH)])
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