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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/codellama/CodeLlama-13b-hf"
FIM_PREFIX = "<PRE> "
FIM_MIDDLE = " <MID>"
FIM_SUFFIX = " <SUF>"
FIM_INDICATOR = "<FILL_ME>"
EOS_STRING = "</s>"
EOT_STRING = "<EOT>"
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}"},
)
def generate(
prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0,
):
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}"
stream = client.generate_stream(prompt, **generate_kwargs)
if fim_mode:
output = prefix
else:
output = prompt
previous_token = ""
for response in stream:
if any([end_token in response.token.text for end_token in [EOS_STRING, EOT_STRING]]):
if fim_mode:
output += suffix
yield output
return output
print("output", output)
else:
return output
else:
output += response.token.text
previous_token = response.token.text
yield output
return output
examples = [
"SELECT Name, Email, PurchaseDate\nFROM Customers\nWHERE PurchaseDate >= '2023-01-01'\nORDER BY PurchaseDate DESC;",
"<!DOCTYPE html>\n<html>\n<head>\n <title>Kontaktiere Uns</title>\n</head>\n<body>\n <h1>Kontaktformular</h1>\n <form action=\"/sendEmail\" method=\"post\">\n Name: <input type=\"text\" name=\"name\"><br>\n E-Mail: <input type=\"text\" name=\"email\"><br>\n Nachricht:<br>\n <textarea name=\"message\" rows=\"5\" cols=\"30\"></textarea><br>\n <input type=\"submit\" value=\"Senden\">\n </form>\n</body>\n</html>",
"def calculate_bmi(height, weight):\n bmi = weight / (height / 100) ** 2\n return bmi\n\nprint(calculate_bmi(170, 65)) # Beispielaufruf",
"function sumArray(array) {\n return array.reduce((sum, num) => sum + num, 0);\n}\n\nconsole.log(sumArray([1, 2, 3, 4, 5])); // Gibt 15 aus",
".button {\n background-color: blue;\n color: white;\n padding: 10px 20px;\n border: none;\n border-radius: 5px;\n cursor: pointer;\n}\n\n.button:hover {\n box-shadow: 0px 0px 10px 0px rgba(0,0,0,0.5);\n}"
]
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> Code Playground</h1>
</div>
<div style="text-align: left;">
</div>
"""
with gr.Blocks(theme="syddharth/gray-minimal", analytics_enabled=False, css=css) as demo:
with gr.Column():
gr.Markdown(description)
with gr.Row():
with gr.Column():
instruction = gr.Textbox(
placeholder="Enter your code here",
lines=5,
label="Input",
elem_id="q-input",
)
submit = gr.Button("Generate", variant="primary")
output = gr.Code(elem_id="q-output", lines=30, label="Output")
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=0.1,
minimum=0.0,
maximum=1.0,
step=0.05,
interactive=True,
info="Higher values produce more diverse outputs",
)
max_new_tokens = gr.Slider(
label="Max new tokens",
value=256,
minimum=0,
maximum=8192,
step=64,
interactive=True,
info="The maximum numbers of new tokens",
)
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="Higher values sample more low-probability tokens",
)
repetition_penalty = gr.Slider(
label="Repetition penalty",
value=1.05,
minimum=1.0,
maximum=2.0,
step=0.05,
interactive=True,
info="Penalize repeated tokens",
)
gr.Examples(
examples=examples,
inputs=[instruction],
cache_examples=False,
fn=process_example,
outputs=[output],
)
submit.click(
generate,
inputs=[instruction, temperature, max_new_tokens, top_p, repetition_penalty],
outputs=[output],
)
demo.queue(concurrency_count=16).launch(debug=True) |