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README.md

@@ -1,8 +1,8 @@
 ---
 title: EuroLLM 9B Instruct
-emoji: 🦀
+emoji: ⚡
 colorFrom: red
-colorTo: yellow
+colorTo: gray
 sdk: gradio
 sdk_version: 5.9.0
 app_file: app.py

app.py

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+#!/usr/bin/env python
+
+import os
+from threading import Thread
+from typing import Iterator
+import spaces
+import gradio as gr
+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"))
+
+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 = "utter-project/EuroLLM-9B-Instruct"
+    tokenizer = AutoTokenizer.from_pretrained(model_id)
+    model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
+
+@spaces.GPU
+def generate(
+    message: str,
+    chat_history: list[tuple[str, str]],
+    max_new_tokens: int = 1024,
+    temperature: float = 0.06,
+    top_p: float = 0.95,
+    top_k: int = 40,
+    repetition_penalty: float = 1.2,
+) -> Iterator[str]:
+    
+    historical_text = ""
+    #Prepend the entire chat history to the message with new lines between each message
+    for user, assistant in chat_history:
+        historical_text += f"\n{user}\n{assistant}"
+        
+    if len(historical_text) > 0:
+        message = historical_text + f"\n{message}"
+    input_ids = tokenizer([message], return_tensors="pt").input_ids
+    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.")
+    input_ids = input_ids.to(model.device)
+
+    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,
+        num_beams=1,
+        pad_token_id = tokenizer.eos_token_id,
+        repetition_penalty=repetition_penalty,
+        no_repeat_ngram_size=5,
+        early_stopping=False,
+    )
+    t = Thread(target=model.generate, kwargs=generate_kwargs)
+    t.start()
+
+    outputs = []
+    for text in streamer:
+        outputs.append(text)
+        yield "".join(outputs)
+
+
+chat_interface = gr.ChatInterface(
+    fn=generate,
+    additional_inputs=[
+        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=1.2,
+            step=0.1,
+            value=0.2,
+        ),
+        gr.Slider(
+            label="Top-p (nucleus sampling)",
+            minimum=0.05,
+            maximum=1.0,
+            step=0.05,
+            value=0.9,
+        ),
+        gr.Slider(
+            label="Top-k",
+            minimum=1,
+            maximum=1000,
+            step=1,
+            value=50,
+        ),
+        gr.Slider(
+            label="Repetition penalty",
+            minimum=1.0,
+            maximum=2.0,
+            step=0.05,
+            value=1.2,
+        ),
+    ],
+    stop_btn=None,
+    examples=[
+        ["Describe the significance of the Eiffel Tower in French culture and history."],
+        ["Что такое 'загадочная русская душа' и как это понятие отражается в русской литературе?"],  # Russian: What is the "mysterious Russian soul" and how is this concept reflected in Russian literature?
+        ["Jakie są najbardziej znane polskie tradycje bożonarodzeniowe?"],  # Polish: What are the most well-known Polish Christmas traditions?
+        ["Welche Rolle spielte die Hanse im mittelalterlichen Europa?"],  # German: What role did the Hanseatic League play in medieval Europe?
+        ["日本の茶道の精神と作法について説明してください。"]  # Japanese: Please explain the spirit and etiquette of Japanese tea ceremony.
+    ],
+)
+
+with gr.Blocks(css="style.css") as demo:
+    chat_interface.render()
+
+if __name__ == "__main__":
+    demo.queue(max_size=20).launch()

requirements.txt

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+accelerate==0.28.0
+gradio==4.28.2
+scipy==1.12.0
+sentencepiece==0.2.0
+spaces==0.26.2
+torch==2.1.1
+transformers==4.40.1
+tokenizers==0.19.1

style.css

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