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| from huggingface_hub import InferenceClient | |
| import gradio as gr | |
| client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1") | |
| def format_prompt(message, history, system_prompt=None): | |
| prompt = "<s>" | |
| for user_prompt, bot_response in history: | |
| prompt += f"[INST] {user_prompt} [/INST]" | |
| prompt += f" {bot_response}</s> " | |
| if system_prompt: | |
| prompt += f"[SYS] {system_prompt} [/SYS]" | |
| prompt += f"[INST] {message} [/INST]" | |
| return prompt | |
| def generate( | |
| prompt, history, system_prompt="Sou o assistente TSM, pronto para auxiliar em qualquer tarefa, meu idioma principal é o português brasileiro", temperature=0.2, max_new_tokens=8192, 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, system_prompt) | |
| 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="Olá, eu sou o TSM 3.5 em que posso ajudar?", | |
| css="body { background-color: inherit; overflow-x:hidden;}" | |
| ":root {--color-accent: transparent !important; --color-accent-soft:transparent !important; --code-background-fill:black !important; --body-text-color:white !important;}" | |
| "#component-2 {background:#ffffff1a; display:contents;}" | |
| "div#component-0 { height: auto !important;}" | |
| ".gradio-container.gradio-container-4-8-0.svelte-1kyws56.app {background: #000000;}gradio-app {background: #333 !important;}" | |
| "gradio-app {background: #000000 !important; background-attachment: fixed !important; background-position: top;}" | |
| ".panel.svelte-vt1mxs {background: transparent; padding:0;}" | |
| ".block.svelte-90oupt { background: transparent; border-color: transparent;}" | |
| ".bot.svelte-12dsd9j.svelte-12dsd9j.svelte-12dsd9j { background: #ffffff1a; border-color: transparent; color: white;}" | |
| ".user.svelte-12dsd9j.svelte-12dsd9j.svelte-12dsd9j { background: #ffffff1a; border-color: transparent; color: white; padding: 10px 18px;}" | |
| "div.svelte-iyf88w{ background: #cc0000; border-color: trasparent; border-radius: 25px;}" | |
| "textarea.scroll-hide.svelte-1f354aw {background: #555 !important;}" | |
| ".primary.svelte-cmf5ev { background: transparent; color: white;}" | |
| ".primary.svelte-cmf5ev:hover { background: transparent; color: white;}" | |
| "div#component-9 { max-width: fit-content; margin-left: auto; margin-right: auto;}" | |
| "button#component-8, button#component-10, button#component-11, button#component-12 { flex: none; background: #ffffff1a; border: none; color: white; margin-right: auto; margin-left: auto; border-radius: 9px; min-width: fit-content;}" | |
| ".share-button.svelte-12dsd9j { display: none;}" | |
| "footer.svelte-mpyp5e { display: none !important;}" | |
| ".message-buttons-bubble.svelte-12dsd9j.svelte-12dsd9j.svelte-12dsd9j { border-color: #FFFFFF; background: #FFFFFF;}" | |
| ".bubble-wrap.svelte-12dsd9j.svelte-12dsd9j.svelte-12dsd9j {padding: 0;}" | |
| ".prose h1 { color: white !important; font-size: 16px !important; font-weight: normal !important; background: #ffffff1a; padding: 20px; border-radius: 20px; width: 90%; margin-left: auto !important; margin-right: auto !important;}" | |
| ".toast-wrap.svelte-pu0yf1 { display:none !important;}" | |
| ".scroll-hide { scrollbar-width: auto !important;}" | |
| ".main svelte-1kyws56 {max-width: 800px; align-self: center;}" | |
| "div#component-4 {max-width: 650px; margin-left: auto; margin-right: auto;}" | |
| "body::-webkit-scrollbar { display: none;}" | |
| ) | |
| demo.queue().launch(show_api=False) | |