Ahora bien
Browse files- appGeneradorHistorias.py +26 -0
- appOtraUrl.py +23 -0
- appurl.py +23 -0
appGeneradorHistorias.py
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import gradio as gr
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from transformers import pipeline
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story_generator = pipeline("text-generation", model="distilgpt2")
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def generar_idea(historia_base):
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resultado = story_generator(
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historia_base,
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max_length=150,
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do_sample=True,
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top_k=50,
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top_p=0.95,
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pad_token_id=story_generator.tokenizer.eos_token_id
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)
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historia = resultado[0]['generated_text']
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return historia
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iface = gr.Interface(
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fn=generar_idea,
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inputs=gr.Textbox(lines=3, placeholder="Escribe un escenario o situación base..."),
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outputs=gr.Textbox(label="Historia generada"),
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title="RPGHistoryMaker AI - Generador de Historias",
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description="Genera pequeñas historias de RPG basadas en tu escenario o idea. Funciona sin modelos grandes ni tokens."
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)
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iface.launch()
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appOtraUrl.py
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import os
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import requests
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API_URL = "https://router.huggingface.co/v1/chat/completions"
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headers = {
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"Authorization": f"Bearer ",
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}
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def query(payload):
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.json()
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response = query({
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"messages": [
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{
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"role": "user",
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"content": "What is the capital of France?"
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}
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],
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"model": "unsloth/Qwen2.5-7B-Instruct:featherless-ai"
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})
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print(response["choices"][0]["message"])
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appurl.py
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import os
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import requests
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API_URL = "https://router.huggingface.co/v1/chat/completions"
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headers = {
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"Authorization": f"Bearer ",
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}
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def query(payload):
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.json()
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response = query({
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"messages": [
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{
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"role": "user",
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"content": "Tell me the name of the arcs of one piece"
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}
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],
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"model": "meta-llama/Llama-3.1-8B-Instruct:novita"
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})
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print(response["choices"][0]["message"])
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