File size: 2,635 Bytes
738953f
 
 
 
 
 
dc877fd
48e8a0e
 
 
a5c8366
738953f
 
 
515f1a1
738953f
a5c8366
738953f
 
a5c8366
738953f
 
 
a5c8366
738953f
 
 
 
 
 
 
d40212f
a5c8366
738953f
 
 
 
 
 
 
 
 
a5c8366
a000d3e
a5c8366
a000d3e
ad7ff8e
 
8902554
a000d3e
 
 
 
a5c8366
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
from huggingface_hub import InferenceClient
import gradio as gr

client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")

def format_prompt(message, history):
  prompt = "<s>[INST] # Extract the benefits of the product, not the features. # You should be as brief as possible. # Omit the price, if any. # Do not mention the name of the product. # Use several paragraphs. # Try to synthesize or summarize. # Focus only on the benefits. # Highlight how this product helps the customer. # Always respond in Spanish. # The text you create will be used in an e-commerce product sales page through the Internet, so it must be persuasive, attractive, and above all very short and summarized. # Remember to keep the text short, summarized, synthesized in three paragraphs. # Surprise me with your best ideas! # Always answers in AMERICAN SPANISH. Stop after finish the first content marketing genreated. [/INST]</s>"
  for user_prompt, bot_response in history:
    prompt += f"[INST] {user_prompt} [/INST]"
    prompt += f" {bot_response}</s> "
  prompt += f"[INST] {message} [/INST]"
  return prompt

def generate(
    prompt, history, temperature=0.2, max_new_tokens=16392, top_p=0.95, repetition_penalty=1.0,
):
    temperature = float(temperature)
    if temperature < 1e-2:
        temperature = 1e-2

    top_p = float(top_p)

    generate_kwargs = dict(
        temperature=temperature, 
        max_new_tokens=max_new_tokens,
        top_p=top_p,
        repetition_penalty=repetition_penalty,
        do_sample=True,
        seed=42,
    )

    formatted_prompt = format_prompt(prompt, history)
    
    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
    output = ""

    for response in stream:
        output += response.token.text
        yield output
    return output

mychatbot = gr.Chatbot(
   avatar_images=["./user.png", "./botm.png"], bubble_full_width=False, show_label=False, show_copy_button=True, likeable=True,)

demo = gr.ChatInterface(fn=generate,  
                        chatbot=mychatbot,
                        title="Bot con I.A. para crear BENEFICIOS de productos.</p>", 
                        description="<p style='line-height: 1'>Estos BENEFICIOS van en la descripcion LARGA de producto (En la parte de ARRIBA).</p><br>"+
                        "  <a href='https://eaglegamingperu.com'> EAGLE GAMING PERU</a>",
                        retry_btn=None,
                        undo_btn=None
                       )

demo.queue().launch(show_api=False)

# Obtener y mostrar URL
url = demo.url
print("URL del chatbot: ", url)