Add files

.pre-commit-config.yaml

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+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v5.0.0
+    hooks:
+      - id: check-executables-have-shebangs
+      - id: check-json
+      - id: check-merge-conflict
+      - id: check-shebang-scripts-are-executable
+      - id: check-toml
+      - id: check-yaml
+      - id: end-of-file-fixer
+      - id: mixed-line-ending
+        args: ["--fix=lf"]
+      - id: requirements-txt-fixer
+      - id: trailing-whitespace
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.9.9
+    hooks:
+      - id: ruff
+        args: ["--fix"]
+      - id: ruff-format
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: v1.15.0
+    hooks:
+      - id: mypy
+        args: ["--ignore-missing-imports"]
+        additional_dependencies:
+          [
+            "types-python-slugify",
+            "types-pytz",
+            "types-PyYAML",
+            "types-requests",
+          ]

.python-version

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+3.10

.vscode/extensions.json

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+{
+    "recommendations": [
+        "ms-python.python",
+        "charliermarsh.ruff",
+        "streetsidesoftware.code-spell-checker",
+        "tamasfe.even-better-toml"
+    ]
+}

.vscode/settings.json

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+{
+    "editor.formatOnSave": true,
+    "files.insertFinalNewline": false,
+    "[python]": {
+        "editor.defaultFormatter": "charliermarsh.ruff",
+        "editor.formatOnType": true,
+        "editor.codeActionsOnSave": {
+            "source.fixAll.ruff": "explicit",
+            "source.organizeImports": "explicit"
+        }
+    },
+    "[jupyter]": {
+        "files.insertFinalNewline": false
+    },
+    "notebook.output.scrolling": true,
+    "notebook.formatOnSave.enabled": true
+}

README.md

@@ -1,8 +1,8 @@
 ---
-title: Asagi 14B
-emoji: 🐢
-colorFrom: yellow
-colorTo: red
+title: Asagi-14B
+emoji: ⚡
+colorFrom: red
+colorTo: purple
 sdk: gradio
 sdk_version: 5.20.0
 app_file: app.py

app.py

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+#!/usr/bin/env python
+
+import gradio as gr
+import PIL.Image
+import spaces
+import torch
+from transformers import AutoModel, AutoProcessor, GenerationConfig
+
+DESCRIPTION = "# MIL-UT/Asagi-14B"
+
+model_id = "MIL-UT/Asagi-14B"
+processor = AutoProcessor.from_pretrained(model_id)
+model = AutoModel.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto", trust_remote_code=True)
+
+
+TEMPLATE = (
+    "以下は、タスクを説明する指示です。要求を適切に満たす応答を書きなさい。\n\n"
+    "### 指示:\n<image>\n{prompt}\n\n### 応答:\n"
+)
+
+
+@spaces.GPU
+def run(
+    image: PIL.Image.Image,
+    prompt: str,
+    max_new_tokens: int = 256,
+    temperature: float = 0.7,
+) -> str:
+    prompt = TEMPLATE.format(prompt=prompt)
+
+    inputs = processor(text=prompt, images=image, return_tensors="pt")
+    inputs_text = processor.tokenizer(prompt, return_tensors="pt")
+    inputs["input_ids"] = inputs_text["input_ids"]
+    inputs["attention_mask"] = inputs_text["attention_mask"]
+    for k, v in inputs.items():
+        if v.dtype == torch.float32:
+            inputs[k] = v.to(model.dtype)
+    inputs = {k: inputs[k].to(model.device) for k in inputs if k != "token_type_ids"}
+
+    generation_config = GenerationConfig(
+        max_new_tokens=max_new_tokens,
+        temperature=temperature,
+        do_sample=temperature > 0,
+        num_beams=5,
+    )
+
+    output = model.generate(**inputs, generation_config=generation_config)
+    generated_text = processor.batch_decode(output, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
+
+    # do not print the prompt
+    if "<image>" in prompt:
+        prompt = prompt.replace("<image>", " ")
+    return generated_text.replace(prompt, "")
+
+
+examples = [
+    [
+        "https://raw.githubusercontent.com/uehara-mech/uehara-mech.github.io/refs/heads/master/images/shibuya.jpg",
+        "この画像を見て、次の質問に詳細かつ具体的に答えてください。この写真はどこで撮影されたものか教えてください。また、画像の内容についても詳しく説明してください。",
+    ],
+    [
+        "https://raw.githubusercontent.com/uehara-mech/uehara-mech.github.io/refs/heads/master/images/bridge.jpg",
+        "この画像を見て、次の指示に詳細かつ具体的に答えてください。この写真の内容について詳しく教えてください。",
+    ],
+    [
+        "https://raw.githubusercontent.com/uehara-mech/uehara-mech.github.io/refs/heads/master/images/tower.jpg",
+        "この画像を見て、次の質問に詳細かつ具体的に答えてください。この写真について評価してください。",
+    ],
+    [
+        "https://raw.githubusercontent.com/uehara-mech/uehara-mech.github.io/refs/heads/master/images/shrine.jpg",
+        "この画像を見て、次の質問に詳細かつ具体的に答えてください。この写真の神社について、細かいところまで詳しく説明してください。",
+    ],
+    [
+        "https://raw.githubusercontent.com/uehara-mech/uehara-mech.github.io/refs/heads/master/images/garden.jpg",
+        "この画像を見て、次の指示に詳細かつ具体的に答えてください。これは日本庭園の中でも、どのような形式に分類される庭園ですか？また、その理由は何ですか？",  # noqa: RUF001
+    ],
+    [
+        "https://raw.githubusercontent.com/uehara-mech/uehara-mech.github.io/refs/heads/master/images/slope.jpg",
+        "この画像を見て、次の質問に詳細に答えてください。この画像の場所を舞台とした小説のあらすじを書いてください。",
+    ],
+]
+
+with gr.Blocks(css_paths="style.css") as demo:
+    gr.Markdown(DESCRIPTION)
+    with gr.Row():
+        with gr.Column():
+            image = gr.Image(label="Input Image")
+            prompt = gr.Textbox(label="Prompt")
+            run_button = gr.Button()
+            with gr.Accordion("Advanced options", open=False):
+                max_new_tokens = gr.Slider(
+                    label="Max new tokens",
+                    minimum=1,
+                    maximum=1024,
+                    step=1,
+                    value=256,
+                )
+                temperature = gr.Slider(
+                    label="Temperature",
+                    minimum=0.1,
+                    maximum=2.0,
+                    step=0.1,
+                    value=0.7,
+                )
+        with gr.Column():
+            output = gr.Textbox(label="Output")
+
+    gr.Examples(examples=examples, inputs=[image, prompt])
+
+    run_button.click(
+        fn=run,
+        inputs=[image, prompt, max_new_tokens, temperature],
+        outputs=output,
+    )
+
+if __name__ == "__main__":
+    demo.launch()

pyproject.toml

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+[project]
+name = "asagi-14b"
+version = "0.1.0"
+description = ""
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+    "accelerate>=1.4.0",
+    "gradio>=5.9.1",
+    "hf-transfer>=0.1.9",
+    "spaces>=0.32.0",
+    "torch==2.4.0",
+    "transformers==4.45.1",
+]
+
+[tool.ruff]
+line-length = 119
+
+[tool.ruff.lint]
+select = ["ALL"]
+ignore = [
+    "COM812", # missing-trailing-comma
+    "D203",   # one-blank-line-before-class
+    "D213",   # multi-line-summary-second-line
+    "E501",   # line-too-long
+    "SIM117", # multiple-with-statements
+]
+extend-ignore = [
+    "D100",    # undocumented-public-module
+    "D101",    # undocumented-public-class
+    "D102",    # undocumented-public-method
+    "D103",    # undocumented-public-function
+    "D104",    # undocumented-public-package
+    "D105",    # undocumented-magic-method
+    "D107",    # undocumented-public-init
+    "EM101",   # raw-string-in-exception
+    "FBT001",  # boolean-type-hint-positional-argument
+    "FBT002",  # boolean-default-value-positional-argument
+    "PD901",   # pandas-df-variable-name
+    "PGH003",  # blanket-type-ignore
+    "PLR0913", # too-many-arguments
+    "PLR0915", # too-many-statements
+    "TRY003",  # raise-vanilla-args
+]
+unfixable = [
+    "F401", # unused-import
+]
+
+[tool.ruff.lint.pydocstyle]
+convention = "google"
+
+[tool.ruff.lint.per-file-ignores]
+"*.ipynb" = ["T201", "T203"]
+
+[tool.ruff.format]
+docstring-code-format = true

requirements.txt

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+# This file was autogenerated by uv via the following command:
+#    uv pip compile pyproject.toml -o requirements.txt
+accelerate==1.4.0
+    # via asagi-14b (pyproject.toml)
+aiofiles==23.2.1
+    # via gradio
+annotated-types==0.7.0
+    # via pydantic
+anyio==4.8.0
+    # via
+    #   gradio
+    #   httpx
+    #   starlette
+certifi==2025.1.31
+    # via
+    #   httpcore
+    #   httpx
+    #   requests
+charset-normalizer==3.4.1
+    # via requests
+click==8.1.8
+    # via
+    #   typer
+    #   uvicorn
+exceptiongroup==1.2.2
+    # via anyio
+fastapi==0.115.11
+    # via gradio
+ffmpy==0.5.0
+    # via gradio
+filelock==3.17.0
+    # via
+    #   huggingface-hub
+    #   torch
+    #   transformers
+    #   triton
+fsspec==2025.2.0
+    # via
+    #   gradio-client
+    #   huggingface-hub
+    #   torch
+gradio==5.20.0
+    # via
+    #   asagi-14b (pyproject.toml)
+    #   spaces
+gradio-client==1.7.2
+    # via gradio
+groovy==0.1.2
+    # via gradio
+h11==0.14.0
+    # via
+    #   httpcore
+    #   uvicorn
+hf-transfer==0.1.9
+    # via asagi-14b (pyproject.toml)
+httpcore==1.0.7
+    # via httpx
+httpx==0.28.1
+    # via
+    #   gradio
+    #   gradio-client
+    #   safehttpx
+    #   spaces
+huggingface-hub==0.29.1
+    # via
+    #   accelerate
+    #   gradio
+    #   gradio-client
+    #   tokenizers
+    #   transformers
+idna==3.10
+    # via
+    #   anyio
+    #   httpx
+    #   requests
+jinja2==3.1.5
+    # via
+    #   gradio
+    #   torch
+markdown-it-py==3.0.0
+    # via rich
+markupsafe==2.1.5
+    # via
+    #   gradio
+    #   jinja2
+mdurl==0.1.2
+    # via markdown-it-py
+mpmath==1.3.0
+    # via sympy
+networkx==3.4.2
+    # via torch
+numpy==2.2.3
+    # via
+    #   accelerate
+    #   gradio
+    #   pandas
+    #   transformers
+nvidia-cublas-cu12==12.1.3.1
+    # via
+    #   nvidia-cudnn-cu12
+    #   nvidia-cusolver-cu12
+    #   torch
+nvidia-cuda-cupti-cu12==12.1.105
+    # via torch
+nvidia-cuda-nvrtc-cu12==12.1.105
+    # via torch
+nvidia-cuda-runtime-cu12==12.1.105
+    # via torch
+nvidia-cudnn-cu12==9.1.0.70
+    # via torch
+nvidia-cufft-cu12==11.0.2.54
+    # via torch
+nvidia-curand-cu12==10.3.2.106
+    # via torch
+nvidia-cusolver-cu12==11.4.5.107
+    # via torch
+nvidia-cusparse-cu12==12.1.0.106
+    # via
+    #   nvidia-cusolver-cu12
+    #   torch
+nvidia-nccl-cu12==2.20.5
+    # via torch
+nvidia-nvjitlink-cu12==12.8.61
+    # via
+    #   nvidia-cusolver-cu12
+    #   nvidia-cusparse-cu12
+nvidia-nvtx-cu12==12.1.105
+    # via torch
+orjson==3.10.15
+    # via gradio
+packaging==24.2
+    # via
+    #   accelerate
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+    #   spaces
+    #   transformers
+pandas==2.2.3
+    # via gradio
+pillow==11.1.0
+    # via gradio
+psutil==5.9.8
+    # via
+    #   accelerate
+    #   spaces
+pydantic==2.10.6
+    # via
+    #   fastapi
+    #   gradio
+    #   spaces
+pydantic-core==2.27.2
+    # via pydantic
+pydub==0.25.1
+    # via gradio
+pygments==2.19.1
+    # via rich
+python-dateutil==2.9.0.post0
+    # via pandas
+python-multipart==0.0.20
+    # via gradio
+pytz==2025.1
+    # via pandas
+pyyaml==6.0.2
+    # via
+    #   accelerate
+    #   gradio
+    #   huggingface-hub
+    #   transformers
+regex==2024.11.6
+    # via transformers
+requests==2.32.3
+    # via
+    #   huggingface-hub
+    #   spaces
+    #   transformers
+rich==13.9.4
+    # via typer
+ruff==0.9.9
+    # via gradio
+safehttpx==0.1.6
+    # via gradio
+safetensors==0.5.3
+    # via
+    #   accelerate
+    #   transformers
+semantic-version==2.10.0
+    # via gradio
+shellingham==1.5.4
+    # via typer
+six==1.17.0
+    # via python-dateutil
+sniffio==1.3.1
+    # via anyio
+spaces==0.32.0
+    # via asagi-14b (pyproject.toml)
+starlette==0.46.0
+    # via
+    #   fastapi
+    #   gradio
+sympy==1.13.3
+    # via torch
+tokenizers==0.20.3
+    # via transformers
+tomlkit==0.13.2
+    # via gradio
+torch==2.4.0
+    # via
+    #   asagi-14b (pyproject.toml)
+    #   accelerate
+tqdm==4.67.1
+    # via
+    #   huggingface-hub
+    #   transformers
+transformers==4.45.1
+    # via asagi-14b (pyproject.toml)
+triton==3.0.0
+    # via torch
+typer==0.15.2
+    # via gradio
+typing-extensions==4.12.2
+    # via
+    #   anyio
+    #   fastapi
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+    #   pydantic
+    #   pydantic-core
+    #   rich
+    #   spaces
+    #   torch
+    #   typer
+    #   uvicorn
+tzdata==2025.1
+    # via pandas
+urllib3==2.3.0
+    # via requests
+uvicorn==0.34.0
+    # via gradio
+websockets==15.0
+    # via gradio-client

style.css

@@ -0,0 +1,11 @@
+h1 {
+  text-align: center;
+  display: block;
+}
+
+#duplicate-button {
+  margin: auto;
+  color: #fff;
+  background: #1565c0;
+  border-radius: 100vh;
+}