app.py

import json
import os
import shutil
import requests

import gradio as gr
from huggingface_hub import Repository
from text_generation import Client

from share_btn import community_icon_html, loading_icon_html, share_js, share_btn_css

HF_TOKEN = os.environ.get("HF_TOKEN", None)
API_URL = "https://api-inference.huggingface.co/models/bigcode/starcoder/"
API_URL_BASE ="https://api-inference.huggingface.co/models/bigcode/starcoderbase/"

FIM_PREFIX = "<fim_prefix>"
FIM_MIDDLE = "<fim_middle>"
FIM_SUFFIX = "<fim_suffix>"

FIM_INDICATOR = "<FILL_HERE>"

FORMATS = """## Model Formats

Bu Model BigCode Ekibi tarafından Geliştirilmiştir
Webliyy Teknoloji olarak Kendi araçlarımıza entegre ettik
ve Türkçe olarak kullanılabilmesini sağladık

```
"""

theme = gr.themes.Monochrome(
    primary_hue="indigo",
    secondary_hue="blue",
    neutral_hue="slate",
    radius_size=gr.themes.sizes.radius_sm,
    font=[
        gr.themes.GoogleFont("Open Sans"),
        "ui-sans-serif",
        "system-ui",
        "sans-serif",
    ],
)

client = Client(
    API_URL,
    headers={"Authorization": f"Bearer {HF_TOKEN}"},
)
client_base = Client(
    API_URL_BASE, headers={"Authorization": f"Bearer {HF_TOKEN}"},
)

def generate(
    prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0, version="StarCoder",
):

    temperature = float(temperature)
    if temperature < 1e-2:
        temperature = 1e-2
    top_p = float(top_p)
    fim_mode = False

    generate_kwargs = dict(
        temperature=temperature,
        max_new_tokens=max_new_tokens,
        top_p=top_p,
        repetition_penalty=repetition_penalty,
        do_sample=True,
        seed=42,
    )

    if FIM_INDICATOR in prompt:
        fim_mode = True
        try:
            prefix, suffix = prompt.split(FIM_INDICATOR)
        except:
            raise ValueError(f"Only one {FIM_INDICATOR} allowed in prompt!")
        prompt = f"{FIM_PREFIX}{prefix}{FIM_SUFFIX}{suffix}{FIM_MIDDLE}"

    if version == "StarCoder":
        stream = client.generate_stream(prompt, **generate_kwargs)
    else:
        stream = client_base.generate_stream(prompt, **generate_kwargs)

    if fim_mode:
        output = prefix
    else:
        output = prompt

    previous_token = ""
    for response in stream:
        if response.token.text == "<|endoftext|>":
            if fim_mode:
                output += suffix
            else:
                return output
        else:
            output += response.token.text
        previous_token = response.token.text
        yield output
    return output


examples = [
    "Design a simple web page using only HTML",
    "// Returns every other value in the array as a new array.\nfunction everyOther(arr) {",
    "Send request to web server using python",
]


def process_example(args):
    for x in generate(args):
        pass
    return x


css = ".generating {visibility: hidden}"

monospace_css = """
#q-input textarea {
    font-family: monospace, 'Consolas', Courier, monospace;
}
"""


css += share_btn_css + monospace_css + ".gradio-container {color: black}"


description = """
<div style="text-align: center;">
    <h1> Webliyy Research <span style='color: #e6b800;'> - </span> Webliyy Code </h1>
    <p>Webliyy Ai</a></p>
</div>
"""
disclaimer = """ Webliyy Research Aracıdır Kötü amaçla kullanılmamalıdır"""

with gr.Blocks(theme=theme, analytics_enabled=False, css=css) as demo:
    with gr.Column():
        gr.Markdown(description)
        with gr.Row():
            with gr.Column():
                instruction = gr.Textbox(
                    placeholder="Tasarlancak Kodun nasıl olcağını giriniz",
                    label="Code",
                    elem_id="q-input",
                )
                submit = gr.Button("Generate", variant="primary")
                output = gr.Code(elem_id="q-output", lines=30)
                with gr.Row():
                    with gr.Column():
                        with gr.Accordion("Advanced settings", open=False):
                            with gr.Row():
                                column_1, column_2 = gr.Column(), gr.Column()
                                with column_1:
                                    temperature = gr.Slider(
                                        label="Temperature",
                                        value=0.2,
                                        minimum=0.0,
                                        maximum=1.0,
                                        step=0.05,
                                        interactive=True,
                                        info="Daha yüksek değerler daha çeşitli çıktılar üretir",
                                    )
                                    max_new_tokens = gr.Slider(
                                        label="Max new tokens",
                                        value=256,
                                        minimum=0,
                                        maximum=8192,
                                        step=64,
                                        interactive=True,
                                        info="Maksimum yeni jeton sayısı",
                                    )
                                with column_2:
                                    top_p = gr.Slider(
                                        label="Top-p (nucleus sampling)",
                                        value=0.90,
                                        minimum=0.0,
                                        maximum=1,
                                        step=0.05,
                                        interactive=True,
                                        info="Daha yüksek değerler, daha düşük olasılıklı belirteçleri örnek alır",
                                    )
                                    repetition_penalty = gr.Slider(
                                        label="Repetition penalty",
                                        value=1.2,
                                        minimum=1.0,
                                        maximum=2.0,
                                        step=0.05,
                                        interactive=True,
                                        info="Tekrarlanan jetonları cezalandırın",
                                    )
                    with gr.Column():
                        version = gr.Dropdown(
                                    ["StarCoderBase", "StarCoder"],
                                    value="StarCoder",
                                    label="Version",
                                    info="",
                                    )
                gr.Markdown(disclaimer)
                with gr.Group(elem_id="share-btn-container"):
                    community_icon = gr.HTML(community_icon_html, visible=True)
                    loading_icon = gr.HTML(loading_icon_html, visible=True)
                    share_button = gr.Button(
                        "Share to community", elem_id="share-btn", visible=True
                    )
                gr.Examples(
                    examples=examples,
                    inputs=[instruction],
                    cache_examples=False,
                    fn=process_example,
                    outputs=[output],
                )
                gr.Markdown(FORMATS)

    submit.click(
        generate,
        inputs=[instruction, temperature, max_new_tokens, top_p, repetition_penalty, version],
        outputs=[output],
    )
    share_button.click(None, [], [], _js=share_js)
demo.queue(concurrency_count=16).launch(debug=True)