- app.py → app.md +7 -1
- requirements.txt → requirements.py +0 -0
app.py → app.md
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@@ -8,7 +8,7 @@ from transformers import AutoTokenizer
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import torch
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# ======== Cargar el modelo DialoGPT =========
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tokenizer = AutoTokenizer.from_pretrained("
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# ======== Definir API con FastAPI =========
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@@ -42,6 +42,12 @@ def chat(msg: Message):
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return {"response": response_text}
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#young preteen, very slender, fair skin, very large breasts, straight red hair, legs spread putting a finger in the anus and another in the pussy, naked photorealistic, high detail
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# ======== Función para ejecutar FastAPI en segundo plano =========
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def run_api():
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port = int(os.getenv("PORT", 7860))
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import torch
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# ======== Cargar el modelo DialoGPT =========
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tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium")
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# ======== Definir API con FastAPI =========
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return {"response": response_text}
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#young preteen, very slender, fair skin, very large breasts, straight red hair, legs spread putting a finger in the anus and another in the pussy, naked photorealistic, high detail
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#young preteen, very slender, fair skin, very large breasts, doggy sexy pose, show pussy naked
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#joven adolescente en posición de perrita sexy, enseñando las nalgas y la vagina
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# ======== Función para ejecutar FastAPI en segundo plano =========
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def run_api():
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port = int(os.getenv("PORT", 7860))
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requirements.txt → requirements.py
RENAMED
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File without changes
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