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1 Parent(s): db910af

Update app.py

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  1. app.py +48 -47
app.py CHANGED
@@ -1,64 +1,65 @@
 
 
 
1
  import gradio as gr
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- from huggingface_hub import InferenceClient
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4
- """
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- For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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- """
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- client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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10
- def respond(
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- message,
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- history: list[tuple[str, str]],
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- system_message,
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- max_tokens,
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- temperature,
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- top_p,
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- ):
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- messages = [{"role": "system", "content": system_message}]
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-
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- for val in history:
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- if val[0]:
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- messages.append({"role": "user", "content": val[0]})
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- if val[1]:
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- messages.append({"role": "assistant", "content": val[1]})
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-
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  messages.append({"role": "user", "content": message})
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28
- response = ""
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-
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- for message in client.chat_completion(
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- messages,
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- max_tokens=max_tokens,
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- stream=True,
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- temperature=temperature,
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- top_p=top_p,
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- ):
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- token = message.choices[0].delta.content
 
 
 
 
38
 
 
 
 
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  response += token
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  yield response
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-
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- """
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- For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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- """
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  demo = gr.ChatInterface(
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- respond,
 
 
 
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  additional_inputs=[
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- gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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- gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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- gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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- gr.Slider(
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- minimum=0.1,
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- maximum=1.0,
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- value=0.95,
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- step=0.05,
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- label="Top-p (nucleus sampling)",
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- ),
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  ],
 
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  )
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-
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  if __name__ == "__main__":
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  demo.launch()
 
 
1
+ import torch
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+ from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
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+ from threading import Thread
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  import gradio as gr
 
5
 
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+ # Configuraci贸n del modelo
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+ MODEL_NAME = "microsoft/phi-2" # Modelo ligero y eficiente
 
 
8
 
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+ # Cargar modelo y tokenizer
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+ tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, trust_remote_code=True)
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+ model = AutoModelForCausalLM.from_pretrained(
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+ MODEL_NAME,
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+ torch_dtype=torch.float16,
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+ device_map="auto"
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+ )
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+ def generate_response(message, history, system_prompt="Eres un asistente 煤til llamado Gerardo."):
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+ # Formatear el historial de chat
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+ messages = [{"role": "system", "content": system_prompt}]
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+ for user_msg, bot_msg in history:
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+ messages.extend([
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+ {"role": "user", "content": user_msg},
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+ {"role": "assistant", "content": bot_msg}
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+ ])
 
 
 
 
 
 
 
 
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  messages.append({"role": "user", "content": message})
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+ # Generar respuesta con streaming
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+ inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)
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+ streamer = TextIteratorStreamer(tokenizer, skip_prompt=True)
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+
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+ Thread(
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+ target=model.generate,
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+ kwargs=dict(
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+ inputs,
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+ streamer=streamer,
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+ max_new_tokens=512,
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+ temperature=0.7,
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+ do_sample=True
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+ )
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+ ).start()
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42
+ # Retornar la respuesta progresivamente
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+ response = ""
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+ for token in streamer:
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  response += token
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  yield response
47
 
48
+ # Interfaz con Gradio
 
 
 
49
  demo = gr.ChatInterface(
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+ fn=generate_response,
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+ title="馃 Chatbot Gerardo",
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+ description="Un asistente IA creado por Gerardo. 隆Preg煤ntame lo que quieras!",
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+ examples=["Hola", "驴C贸mo funciona la inteligencia artificial?"],
54
  additional_inputs=[
55
+ gr.Textbox(
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+ "Eres un asistente 煤til llamado Gerardo.",
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+ label="Personalidad del bot"
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+ )
 
 
 
 
 
 
59
  ],
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+ theme="soft"
61
  )
62
 
 
63
  if __name__ == "__main__":
64
  demo.launch()
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+