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from huggingface_hub import InferenceClient |
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import gradio as gr |
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1") |
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def format_prompt(message, history, system_prompt): |
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prompt = "<s>" |
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for user_prompt, bot_response in history: |
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prompt += f"[INST] {user_prompt} [/INST]" |
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prompt += f" {bot_response}</s> " |
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prompt += f"[INST] {system_prompt}, {message} [/INST]" |
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return prompt |
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def generate( |
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prompt, |
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history, |
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system_prompt= "Asistente para los usuarios y clientes de la empresa Canal de Isabel II, https://oficinavirtual.canaldeisabelsegunda.es/ ", |
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temperature=0.9, |
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max_new_tokens=4096, |
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top_p=0.95, |
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repetition_penalty=1.0, |
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input_max_length=256,): |
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temperature = float(temperature) |
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if temperature < 1e-2: |
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temperature = 1e-2 |
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top_p = float(top_p) |
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generate_kwargs = dict( |
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temperature=temperature, |
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max_new_tokens=max_new_tokens, |
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top_p=top_p, |
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repetition_penalty=repetition_penalty, |
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do_sample=True, |
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seed=42, |
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) |
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formatted_prompt = format_prompt(prompt, history, system_prompt) |
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stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) |
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output = "" |
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for response in stream: |
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output += response.token.text |
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yield output |
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return output |
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gr.ChatInterface( |
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fn=generate, |
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chatbot=gr.Chatbot( |
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avatar_images=["./15f4b2d3-c4f4-4a29-93cd-e47214953bd9.png", "./logoCanal.png"], |
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bubble_full_width=False, |
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show_label=False, |
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show_share_button=False, |
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show_copy_button=True, |
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likeable=True, |
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layout="panel", |
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height=500, |
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), |
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textbox=gr.Textbox(placeholder="¿Qué parámetros definen la calidad del agua?", container=False, scale=7), |
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theme="soft", |
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title="Mixtral 8B. TFG: Asistente de usuarios/clientes de Canal de Isabel ll", |
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description='Autor: <a href=\"https://huggingface.co/Antonio49\">Antonio Fernández</a> de <a href=\"https://www.canaldeisabelsegunda.es/\">Canal de Isabel II</a>. Formación: <a href=\"https://www.uoc.edu/es/\">Grado Ingeniería Informática</a>. Aplicación desarrollada para TFG', |
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retry_btn="Repetir", |
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undo_btn="Deshacer", |
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clear_btn="Borrar", |
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submit_btn="Enviar", |
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concurrency_limit=20, |
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).launch(show_api=False) |
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