Update app.py
Browse files
app.py
CHANGED
@@ -11,9 +11,7 @@ from share_btn import community_icon_html, loading_icon_html, share_js, share_bt
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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API_URL = "https://api-inference.huggingface.co/models/
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API_URL_BASE ="https://api-inference.huggingface.co/models/bigcode/starcoderbase"
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API_URL_PLUS = "https://api-inference.huggingface.co/models/bigcode/starcoderplus"
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FIM_PREFIX = "<fim_prefix>"
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FIM_MIDDLE = "<fim_middle>"
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@@ -21,46 +19,6 @@ FIM_SUFFIX = "<fim_suffix>"
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FIM_INDICATOR = "<FILL_HERE>"
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FORMATS = """## Model Formats
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The model is pretrained on code and is formatted with special tokens in addition to the pure code data,\
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such as prefixes specifying the source of the file or tokens separating code from a commit message.\
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Use these templates to explore the model's capacities:
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### 1. Prefixes 🏷️
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For pure code files, use any combination of the following prefixes:
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```
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<reponame>REPONAME<filename>FILENAME<gh_stars>STARS\ncode<|endoftext|>
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```
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STARS can be one of: 0, 1-10, 10-100, 100-1000, 1000+
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### 2. Commits 💾
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The commits data is formatted as follows:
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```
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<commit_before>code<commit_msg>text<commit_after>code<|endoftext|>
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```
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### 3. Jupyter Notebooks 📓
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The model is trained on Jupyter notebooks as Python scripts and structured formats like:
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```
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<start_jupyter><jupyter_text>text<jupyter_code>code<jupyter_output>output<jupyter_text>
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```
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### 4. Issues 🐛
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We also trained on GitHub issues using the following formatting:
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```
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<issue_start><issue_comment>text<issue_comment>...<issue_closed>
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```
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### 5. Fill-in-the-middle 🧩
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Fill in the middle requires rearranging the model inputs. The playground handles this for you - all you need is to specify where to fill:
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```
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code before<FILL_HERE>code after
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```
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"""
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theme = gr.themes.Monochrome(
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primary_hue="indigo",
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@@ -87,7 +45,7 @@ client_plus = Client(
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)
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def generate(
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prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0,
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):
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temperature = float(temperature)
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raise ValueError(f"Only one {FIM_INDICATOR} allowed in prompt!")
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prompt = f"{FIM_PREFIX}{prefix}{FIM_SUFFIX}{suffix}{FIM_MIDDLE}"
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stream = client_plus.generate_stream(prompt, **generate_kwargs)
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else:
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stream = client_base.generate_stream(prompt, **generate_kwargs)
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if fim_mode:
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output = prefix
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css += share_btn_css + monospace_css + ".gradio-container {color: black}"
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description = """
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<div style="text-align: center;">
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<h1>
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</div>
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<div style="text-align: left;">
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<p>This is a demo to generate text and code with the following
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<
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<li><a href="https://huggingface.co/bigcode/starcoderplus" style='color: #e6b800;'>StarCoderPlus</a>: A finetuned version of StarCoderBase on English web data, making it strong in both English text and code generation.</li>
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<li><a href="https://huggingface.co/bigcode/starcoderbase" style='color: #e6b800;'>StarCoderBase</a>: A code generation model trained on 80+ programming languages, providing broad language coverage for code generation tasks.</li>
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<li><a href="https://huggingface.co/bigcode/starcoder" style='color: #e6b800;'>StarCoder</a>: A finetuned version of StarCoderBase specifically focused on Python, while also maintaining strong performance on other programming languages.</li>
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</ul>
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<p><b>Please note:</b> These models are not designed for instruction purposes. If you're looking for instruction or want to chat with a fine-tuned model, you can visit the <a href="https://huggingface.co/spaces/HuggingFaceH4/starchat-playground">StarChat Playground</a>.</p>
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</div>
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"""
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disclaimer = """⚠️<b>Any use or sharing of this demo constitues your acceptance of the BigCode [OpenRAIL-M](https://huggingface.co/spaces/bigcode/bigcode-model-license-agreement) License Agreement and the use restrictions included within.</b>\
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<br>**Intended Use**: this app and its [supporting model](https://huggingface.co/bigcode) are provided for demonstration purposes; not to serve as replacement for human expertise. For more details on the model's limitations in terms of factuality and biases, see the [model card.](hf.co/bigcode)"""
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with gr.Blocks(theme=theme, analytics_enabled=False, css=css) as demo:
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with gr.Column():
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gr.Markdown(description)
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with gr.Row():
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version = gr.Dropdown(
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["StarCoderPlus", "StarCoderBase", "StarCoder"],
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value="StarCoder",
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label="Model",
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info="Choose a model from the list",
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)
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with gr.Row():
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with gr.Column():
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instruction = gr.Textbox(
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info="Penalize repeated tokens",
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)
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gr.Markdown(disclaimer)
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with gr.Group(elem_id="share-btn-container"):
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community_icon = gr.HTML(community_icon_html, visible=True)
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loading_icon = gr.HTML(loading_icon_html, visible=True)
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fn=process_example,
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outputs=[output],
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)
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gr.Markdown(FORMATS)
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submit.click(
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generate,
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inputs=[instruction, temperature, max_new_tokens, top_p, repetition_penalty
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outputs=[output],
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)
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share_button.click(None, [], [], _js=share_js)
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HF_TOKEN = os.environ.get("HF_TOKEN", None)
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API_URL = "https://api-inference.huggingface.co/models/codellama/CodeLlama-7b-hf"
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FIM_PREFIX = "<fim_prefix>"
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FIM_MIDDLE = "<fim_middle>"
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FIM_INDICATOR = "<FILL_HERE>"
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theme = gr.themes.Monochrome(
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primary_hue="indigo",
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)
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def generate(
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prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0,
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):
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temperature = float(temperature)
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raise ValueError(f"Only one {FIM_INDICATOR} allowed in prompt!")
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prompt = f"{FIM_PREFIX}{prefix}{FIM_SUFFIX}{suffix}{FIM_MIDDLE}"
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stream = client.generate_stream(prompt, **generate_kwargs)
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if fim_mode:
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output = prefix
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css += share_btn_css + monospace_css + ".gradio-container {color: black}"
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description = """
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<div style="text-align: center;">
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<h1> 🦙 CodeLlama Playground</h1>
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</div>
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<div style="text-align: left;">
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<p>This is a demo to generate text and code with the following Code Llama model (7B).</p>
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<p><b>Please note:</b> This model is not designed for instruction purposes but for code completion. If you're looking for instruction or want to chat with a fine-tuned model, you can visit the <a href="https://huggingface.co/codellama/">Code Llama Org</a> and select an instruct model.</p>
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</div>
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"""
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with gr.Blocks(theme=theme, analytics_enabled=False, css=css) as demo:
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with gr.Column():
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gr.Markdown(description)
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with gr.Row():
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with gr.Column():
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instruction = gr.Textbox(
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info="Penalize repeated tokens",
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)
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with gr.Group(elem_id="share-btn-container"):
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community_icon = gr.HTML(community_icon_html, visible=True)
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loading_icon = gr.HTML(loading_icon_html, visible=True)
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fn=process_example,
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outputs=[output],
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)
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submit.click(
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generate,
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inputs=[instruction, temperature, max_new_tokens, top_p, repetition_penalty],
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outputs=[output],
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)
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share_button.click(None, [], [], _js=share_js)
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