feat: gen report

.gitignore

@@ -0,0 +1,165 @@
+### Generated by gibo (https://github.com/simonwhitaker/gibo)
+### https://raw.github.com/github/gitignore/8779ee73af62c669e7ca371aaab8399d87127693/Python.gitignore
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

.python-version

@@ -0,0 +1 @@
+3.13

README.md

@@ -9,4 +9,9 @@ app_file: app.py
 pinned: false
 ---
 
-An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
+## Getting started
+
+```shell
+uv sync
+uv run python app.py
+```

app.py

@@ -1,64 +1,55 @@
+import json
+import os
+import tempfile
+
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
 
+from utils import evaluate, report
+
+
+def scoring(tasks: list[dict]):
+    return tasks
+
+
+def process_jsonl_file(jsonl_file_path: str, api_key: str):
+    try:
+        content = open(jsonl_file_path, "r", encoding="utf-8").readlines()
+        json_data = [json.loads(line) for line in content]
+
+        if api_key is not None and api_key != "":
+            json_data = evaluate(json_data)
+
+        html_content = report(tasks=json_data)
+
+        file_name_with_ext = os.path.basename(jsonl_file_path)
+        file_name, _ = os.path.splitext(file_name_with_ext)
+
+        with tempfile.NamedTemporaryFile(
+            delete=False, prefix=f"{file_name}-report-", suffix=".html", mode="w", encoding="utf-8"
+        ) as temp_file:
+            temp_file.write(html_content)
+            output_file = temp_file.name
+        return output_file
+
+    except Exception as e:
+        return f"エラーが発生しました: {str(e)}"
+
+
+# Gradioデモ
+with gr.Blocks() as demo:
+    gr.Markdown("## ELYZA-tasks-100(-TV) セルフ評価ページ")
+
+    jsonl_input = gr.File(label="JSONLファイルをアップロード")
+    api_key_input = gr.Textbox(label="APIキーを入力", type="password")
+    process_button = gr.Button("実行")
+
+    output_file = gr.File(label="セルフ評価レポート")
+
+    process_button.click(
+        process_jsonl_file, inputs=[jsonl_input, api_key_input], outputs=output_file
+    )
+
+demo.launch()
 
 if __name__ == "__main__":
     demo.launch()

pyproject.toml

@@ -0,0 +1,10 @@
+[project]
+name = "llm-exercise-report"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+    "google-generativeai>=0.8.3",
+    "gradio>=5.7.1",
+]

requirements.txt

@@ -1 +1,3 @@
-huggingface_hub==0.25.2
+gradio>=5.7.1
+google-generativeai>=0.8.3
+huggingface_hub==0.25.2

utils.py

@@ -0,0 +1,197 @@
+import json
+
+import google.generativeai as genai
+
+
+PREREQUISITE_PROMPT = """\
+あなたは採点者です。
+
+問題, 採点基準, 回答 が与えられます。
+回答を1,2,3,4,5の5段階で採点し、数字のみを出力してください。
+
+# 採点基準
+基本的な採点基準
+- 1点: 誤っている、 指示に従えていない
+- 2点: 誤っているが、方向性は合っている
+- 3点: 部分的に誤っている、 部分的に合っている
+- 4点: 合っている
+- 5点: 役に立つ
+
+基本的な減点項目
+- 不自然な日本語: -1点
+- 部分的に事実と異なる内容を述べている: -1点
+"""
+
+
+def evaluation_prompt(
+    input: str, output: str, eval_aspect: str | None, target: str | None
+) -> str:
+    return f"""\
+回答を1,2,3,4,5の5段階で採点し、数字のみを出力してください。
+
+# 問題: {input}
+
+{f"# 正解例: {target}" if target is not None else ""}
+
+{f"# 採点基準: {eval_aspect}" if eval_aspect is not None else ""}
+
+# 回答: {output}
+"""
+
+
+def evaluate(results: list[dict], api_key=str, batch_size: int = 10) -> list[dict]:
+    genai.configure(api_key=api_key)
+
+    model = genai.GenerativeModel("gemini-1.5-pro-latest")
+
+    evaluations = []
+    for i in range(0, len(results), batch_size):
+        batch_results = results[i : i + batch_size]
+
+        prompts = [
+            evaluation_prompt(
+                result["input"],
+                result["output"],
+                result.get("eval_aspect"),
+                result.get("target"),
+            )
+            for result in batch_results
+        ]
+
+        response = model.generate_content(
+            [PREREQUISITE_PROMPT] + prompts,
+            generation_config=genai.GenerationConfig(
+                response_mime_type="application/json", response_schema=list[int]
+            ),
+        )
+        scores = json.loads(response.parts[0].text)
+
+        for result, score in zip(batch_results, scores):
+            evaluations.append(
+                {
+                    **result,
+                    "score": score,
+                }
+            )
+
+    return evaluations
+
+
+def report(tasks: list[dict]) -> str:
+    return (
+        """\
+<!DOCTYPE html>
+<html lang="ja">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>レポート</title>
+    <style>
+        body {
+            background-color: #f8f9fa;
+        }
+        .container {
+            width: 80%; /* 可変幅 */
+            margin: 20px auto;
+            background-color: #ffffff;
+            border-radius: 8px;
+        }
+        .divider {
+            position: relative;
+            padding: 16px 0;
+            align-items: center;
+            justify-content: center;
+        }
+        .divider .line {
+            height: 1px;
+            background-color: #ddd;
+        }
+        .divider .taskId {
+            position: absolute;
+            margin: -8px;
+            left: 50%;
+            transform: translateX(-50%);
+            padding: 0 10px;
+            font-size: 14px;
+            font-weight: 900;
+            text-align: center;
+            border: 1px solid #ddd;
+            border-radius: 9999px;
+            background-color: #ffffff;
+            white-space: nowrap;
+        }
+        .message {
+            padding: 8px;
+        }
+        .content {
+            font-size: 14px;
+            font-weight: 400;
+        }
+        .from {
+            font-size: 14px;
+            font-weight: 900;
+        }
+    </style>
+</head>
+<body>
+    <div class="container" id="container"></div>
+    <script>
+        const messages = """
+        + str(tasks)
+        + """;
+
+        // taskId: number
+        const createDivider = (taskId) => {
+            const divider = document.createElement('div');
+            divider.classList.add('divider');
+
+            const line = document.createElement('div');
+            line.classList.add('line');
+
+            const taskIdLabel = document.createElement('div');
+            taskIdLabel.classList.add('taskId');
+            taskIdLabel.textContent = `Task ${taskId}`;
+
+            divider.appendChild(line);
+            divider.appendChild(taskIdLabel);
+
+            return divider;
+        };
+
+        // task: HTMLDivElement, from: 'input' | 'output' | str, text: string
+        // return: HTMLDivElement
+        const createMessage = (text, name) => {
+            const message = document.createElement('div');
+            message.classList.add('message');
+
+            const from = document.createElement('div');
+            from.classList.add('from');
+            from.textContent = name;
+
+            const content = document.createElement('div');
+            content.classList.add('content');
+            content.textContent = text;
+
+            message.appendChild(from);
+            message.appendChild(content);
+
+            return message;
+        };
+
+        const container = document.getElementById('container');
+
+        messages.forEach((message) => {
+            const task = document.createElement('div');
+            task.classList.add('task');
+
+            task.appendChild(createDivider(message.task_id));
+            task.appendChild(createMessage(message.input, 'input'));
+            task.appendChild(createMessage(message.output, 'output'));
+
+            container.appendChild(task);
+        });
+    </script>
+</body>
+</html>
+"""
+    )

uv.lock

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+
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