chore: update something

LICENSE.txt

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+~

README.md

@@ -1,13 +1,28 @@
 ---
-title: Ghost 8b Beta 8k
-emoji: 🐠
-colorFrom: gray
-colorTo: gray
+title: Ghost 8B Beta
+emoji: 👻
+colorFrom: indigo
+colorTo: pink
 sdk: gradio
-sdk_version: 4.37.2
+sdk_version: 4.36.1
 app_file: app.py
 pinned: false
+suggested_hardware: a10g-small
+language:
+  - en
+  - vi
+  - es
+  - pt
+  - de
+  - it
+  - fr
+  - ko
+  - zh
 license: other
+license_name: ghost-llms
+license_link: https://ghost-x.org/ghost-llms-license
+tags:
+  - ghost
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# ~

app.py

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+import os
+from threading import Thread
+from typing import Iterator
+
+import gradio as gr
+import spaces
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
+
+MAX_MAX_NEW_TOKENS = 2048
+DEFAULT_MAX_NEW_TOKENS = 1024
+MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "8192"))
+
+DESCRIPTION = """\
+# Playground with Ghost 8B Beta (p)
+
+**Ghost 8B Beta** is a large language model developed with goals that include excellent multilingual support, superior knowledge capabilities, and cost-effectiveness. The model comes in two context length versions, 8k and 128k, along with multilingual function tools support by default. 
+
+The languages supported are 🇺🇸 English, 🇫🇷 French, 🇮🇹 Italian, 🇪🇸 Spanish, 🇵🇹 Portuguese, 🇩🇪 German, 🇻🇳 Vietnamese, 🇰🇷 Korean and 🇨🇳 Chinese.
+
+📋 Note: current model version is "disl-0x5-8k" (10 Jul 2024), context length 8k and current status is "moderating / previewing". For detailed information about the model, see [here](https://ghost-x.org/docs/models/ghost-8b-beta/). Try to experience it the way you want!
+"""
+
+
+PLACEHOLDER = """
+<div style="padding: 30px; text-align: center; display: flex; flex-direction: column; align-items: center;">
+   <h1 style="font-size: 26px; margin-bottom: 2px; opacity: 0.20;">👻 Ghost 8B Beta</h1>
+   <p style="font-size: 18px; margin-bottom: 2px; opacity: 0.10;">Ask and share whatever you want ~</p>
+</div>
+"""
+
+LICENSE = """
+<p/>
+
+---
+Ghost 8B Beta may give inaccurate information, including information about people, so please verify Ghost 8B Beta's answers. [Ghost 8B Beta](https://ghost-x.org/docs/models/ghost-8b-beta/) by [Ghost X](https://ghost-x.org).
+"""
+
+EXAMPLES = [
+    [
+        "Explain the concept of quantum entanglement and its implications for quantum computing."
+    ],
+    ["Comment le mouvement des Lumières a-t-il influencé la Révolution française ?"],
+    ["Quale fu l'impatto del Rinascimento italiano sull'arte e la cultura europea?"],
+    [
+        "Spiega il funzionamento e le applicazioni della spettroscopia Raman in chimica analitica."
+    ],
+    [
+        "Explique el teorema de incompletitud de Gödel y sus implicaciones en la lógica matemática."
+    ],
+    [
+        "Descreva o processo de meiose celular e sua importância na variabilidade genética."
+    ],
+    [
+        "Giải thích nguyên lý hoạt động của máy học sâu (deep learning) trong trí tuệ nhân tạo và ứng dụng của nó trong xử lý ngôn ngữ tự nhiên."
+    ],
+    ["조선 시대의 신분제도가 한국 사회에 미친 영향을 분석하시오."],
+    ["分析丝绸之路对中国古代文化交流和经济发展的影响。"],
+]
+
+if not torch.cuda.is_available():
+    DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
+
+
+if torch.cuda.is_available():
+    model_id = "lamhieu/ghost-8b-beta-disl-0x5-8k"
+    model_tk = os.getenv("HF_TOKEN", None)
+    model = AutoModelForCausalLM.from_pretrained(
+        model_id,
+        device_map="auto",
+        trust_remote_code=True,
+        token=model_tk,
+    )
+    tokenizer = AutoTokenizer.from_pretrained(
+        model_id,
+        trust_remote_code=True,
+        token=model_tk,
+    )
+
+
+@spaces.GPU(duration=60)
+def generate(
+    message: str,
+    chat_history: list[tuple[str, str]],
+    system_prompt: str,
+    max_new_tokens: int = 1024,
+    temperature: float = 0.4,
+    top_p: float = 0.95,
+    top_k: int = 50,
+    repetition_penalty: float = 1.0,
+) -> Iterator[str]:
+    conversation = []
+    if system_prompt:
+        conversation.append({"role": "system", "content": system_prompt})
+    for user, assistant in chat_history:
+        conversation.extend(
+            [
+                {"role": "user", "content": user},
+                {"role": "assistant", "content": assistant},
+            ]
+        )
+    conversation.append({"role": "user", "content": message})
+
+    input_ids = tokenizer.apply_chat_template(
+        conversation, add_generation_prompt=True, return_tensors="pt"
+    )
+    input_ids = input_ids.to(model.device)
+    if input_ids.shape[1] > MAX_INPUT_TOKEN_LENGTH:
+        input_ids = input_ids[:, -MAX_INPUT_TOKEN_LENGTH:]
+        gr.Warning(
+            f"Trimmed input from conversation as it was longer than {MAX_INPUT_TOKEN_LENGTH} tokens."
+        )
+
+    streamer = TextIteratorStreamer(
+        tokenizer, timeout=10.0, skip_prompt=True, skip_special_tokens=True
+    )
+    generate_kwargs = dict(
+        input_ids=input_ids,
+        streamer=streamer,
+        max_new_tokens=max_new_tokens,
+        do_sample=True,
+        top_p=top_p,
+        top_k=top_k,
+        temperature=temperature,
+        repetition_penalty=repetition_penalty,
+    )
+    t = Thread(target=model.generate, kwargs=generate_kwargs)
+    t.start()
+
+    outputs = []
+    for text in streamer:
+        outputs.append(text)
+        yield "".join(outputs)
+
+
+chatbot = gr.Chatbot(height=400, placeholder=PLACEHOLDER, label="Ghost 8B Beta")
+
+chat_interface = gr.ChatInterface(
+    fn=generate,
+    chatbot=chatbot,
+    fill_height=True,
+    additional_inputs=[
+        gr.Textbox(label="System prompt", lines=6),
+        gr.Slider(
+            label="Max new tokens",
+            minimum=1,
+            maximum=MAX_MAX_NEW_TOKENS,
+            step=1,
+            value=DEFAULT_MAX_NEW_TOKENS,
+        ),
+        gr.Slider(
+            label="Temperature",
+            minimum=0.1,
+            maximum=2.0,
+            step=0.1,
+            value=0.4,
+        ),
+        gr.Slider(
+            label="Top-p (nucleus sampling)",
+            minimum=0.05,
+            maximum=1.0,
+            step=0.05,
+            value=0.95,
+        ),
+        gr.Slider(
+            label="Top-k",
+            minimum=1,
+            maximum=100,
+            step=1,
+            value=50,
+        ),
+        gr.Slider(
+            label="Repetition penalty",
+            minimum=1.0,
+            maximum=2.0,
+            step=0.05,
+            value=1.0,
+        ),
+    ],
+    stop_btn=None,
+    cache_examples=False,
+    examples=EXAMPLES,
+)
+
+with gr.Blocks(fill_height=True, css="style.css") as demo:
+    gr.Markdown(DESCRIPTION)
+    chat_interface.render()
+    gr.Markdown(LICENSE)
+
+if __name__ == "__main__":
+    # demo.queue(max_size=20).launch()
+    demo.launch()

requirements.txt

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+accelerate==0.30.1
+bitsandbytes==0.43.1
+gradio==4.37.2
+scipy==1.13.0
+sentencepiece==0.2.0
+spaces==0.28.3
+torch==2.0.0
+transformers==4.41.0

style.css

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+h1 {
+  text-align: center;
+  display: block;
+}
+
+#duplicate-button {
+  margin: auto;
+  color: white;
+  background: #1565c0;
+  border-radius: 100vh;
+}
+
+.contain {
+  max-width: 900px;
+  margin: auto;
+  padding-top: 1.5rem;
+}
+
+.s-pad {
+  display: block;
+  padding-top: 2rem;
+  height: 1px;
+  width: 100%;
+}