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uploadfiles
Browse files- app.py +116 -0
- requirements.txt +9 -0
app.py
ADDED
@@ -0,0 +1,116 @@
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import gradio as gr
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import torch
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from transformers import (
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AutoModelForCausalLM,
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AutoTokenizer,
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TextIteratorStreamer,
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)
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import os
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from threading import Thread
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import spaces
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import time
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import subprocess
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subprocess.run(
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"pip install flash-attn --no-build-isolation",
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env={"FLASH_ATTENTION_SKIP_CUDA_BUILD": "TRUE"},
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shell=True,
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)
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model = AutoModelForCausalLM.from_pretrained(
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"microsoft/Phi-3-medium-4k-instruct",
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torch_dtype="auto",
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trust_remote_code=True,
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)
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tok = AutoTokenizer.from_pretrained("microsoft/Phi-3-medium-4k-instruct",trust_remote_code=True,)
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terminators = [
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tok.eos_token_id,
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]
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if torch.cuda.is_available():
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device = torch.device("cuda")
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print(f"Using GPU: {torch.cuda.get_device_name(device)}")
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else:
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device = torch.device("cpu")
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print("Using CPU")
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model = model.to(device)
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@spaces.GPU(duration=60)
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def chat(message, history,system_prompt, temperature, do_sample, max_tokens, top_k, repetition_penalty, top_p):
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chat = [
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{"role": "assistant", "content": system_prompt}
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]
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for item in history:
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chat.append({"role": "user", "content": item[0]})
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if item[1] is not None:
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chat.append({"role": "assistant", "content": item[1]})
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chat.append({"role": "user", "content": message})
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messages = tok.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)
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model_inputs = tok([messages], return_tensors="pt").to(device)
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streamer = TextIteratorStreamer(
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tok, timeout=20.0, skip_prompt=True, skip_special_tokens=True
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)
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generate_kwargs = dict(
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model_inputs,
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streamer=streamer,
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max_new_tokens=max_tokens,
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do_sample=True,
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temperature=temperature,
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eos_token_id=terminators,
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top_k=top_k,
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repetition_penalty=repetition_penalty,
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top_p=top_p
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)
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if temperature == 0:
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generate_kwargs["do_sample"] = False
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t = Thread(target=model.generate, kwargs=generate_kwargs)
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t.start()
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partial_text = ""
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for new_text in streamer:
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partial_text += new_text
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yield partial_text
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yield partial_text
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demo = gr.ChatInterface(
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fn=chat,
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examples=[["Write me a poem about Machine Learning."],
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["write fibonacci sequence in python"],
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["who won the world cup in 2018?"],
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["when was the first computer invented?"],
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],
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additional_inputs_accordion=gr.Accordion(
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label="⚙️ Parameters", open=False, render=False
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),
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additional_inputs=[
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gr.Textbox("Perform the task to the best of your ability.", label="System prompt"),
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gr.Slider(
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minimum=0, maximum=1, step=0.1, value=0.9, label="Temperature", render=False
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),
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gr.Checkbox(label="Sampling", value=True),
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gr.Slider(
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minimum=128,
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maximum=4096,
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step=1,
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value=512,
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label="Max new tokens",
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render=False,
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),
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gr.Slider(1, 80, 40, label="Top K sampling"),
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gr.Slider(0, 2, 1.1, label="Repetition penalty"),
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gr.Slider(0, 1, 0.95, label="Top P sampling"),
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],
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stop_btn="Stop Generation",
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title="Chat With Phi-3-medium-4k-instruct",
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description="[microsoft/Phi-3-medium-4k-instruct](https://huggingface.co/microsoft/Phi-3-medium-4k-instruct)",
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css="footer {visibility: hidden}",
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theme="NoCrypt/miku@1.2.1",
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)
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demo.launch()
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requirements.txt
ADDED
@@ -0,0 +1,9 @@
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|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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1 |
+
tiktoken
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2 |
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gradio
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+
spaces
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torch==2.2.0
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git+https://github.com/huggingface/transformers/
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optimum
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accelerate
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bitsandbytes
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pytest
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