from huggingface_hub import InferenceClient import gradio as gr client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1") def format_prompt(message, history): prompt = "[INST] # Context: You are the marketing and sales expert. You will respond to the user who sends you the description of any product, with a list of 5 bullets that have the following conditions: ### Rules for answering: - Mention all the data and technical characteristics in FIVE (5) bullets. - Try to synthesize as much as you can and it is not necessary to say the name of the product. - omit any BENEFITS - you can join several characteristics in one bullet, but do not delete any characteristic. - Always use bullet points - Only 5 bullets. - Always answer in Spanish. [/INST]" for user_prompt, bot_response in history: prompt += f"[INST] {user_prompt} [/INST]" prompt += f" {bot_response} " 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 CARACTERISTICAS de productos.

", description="

Estas caracteristicas van en la descripcion corta de producto (En la parte de abajo).


"+ "

+ INfo +51927929109 Miguel Angel Gil:

"+ " EAGLE GAMING PERU", retry_btn=None, undo_btn=None ) demo.queue().launch(show_api=False) # Obtener y mostrar URL url = demo.url print("URL del chatbot: ", url)