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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) |