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Sanjaya Subedi commited on Aug 29, 2024

Commit

b67d211

1 Parent(s): 7558738

update easyknn and demo article

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Files changed (8) hide show

app.py +10 -5
create_index.py +10 -5
data/knn_index/easyknn.pkl +2 -2
data/knn_index/faiss.index +2 -2
data/knn_index/item_data.meta +3 -0
data/knn_index/item_data.pkl +3 -0
poetry.lock +119 -97
pyproject.toml +2 -2

app.py CHANGED Viewed

@@ -12,12 +12,14 @@ def search(query: str, k=5):
         query, normalize_embeddings=True, convert_to_numpy=True
     )
     items, scores = knn.neighbors(query_embeddings, k=k)
-    items = [f"{item[:200]} ..." for item in items]
-    return pd.DataFrame(dict(article=items, distance=scores))
 def search_duplicate_news(evt: gr.SelectData):
-    return search(evt.row_value[0].replace(" ...", ""), k=5)
 with gr.Blocks() as demo:
@@ -25,7 +27,7 @@ with gr.Blocks() as demo:
         """
 ## Demo of [jangedoo/all-MiniLM-L6-v2-nepali](https://huggingface.co/jangedoo/all-MiniLM-L6-v2-nepali) model.
-5,000 Nepali news articles (source dataset: mridul3301/nepali-text-corpus-64) have been embedded using this model.
 FAISS library is used for similarity search and the embeddings have been quantized to 8bit integers to tradeoff performance vs resource usage.
@@ -52,7 +54,10 @@ You can use **Nepali** as well as **English** for your queries. However, English
     )
     btn = gr.Button("Search")
     out = gr.DataFrame(headers=["article", "distance"])
-    gr.Markdown("**Select an article above to see similar articles.**")
     duplicate_news = gr.DataFrame(headers=["article", "distance"])
     btn.click(fn=search, inputs=[query, num_results], outputs=out)

         query, normalize_embeddings=True, convert_to_numpy=True
     )
     items, scores = knn.neighbors(query_embeddings, k=k)
+    df = pd.DataFrame(items)
+    df["distance"] = scores.round(2)
+    df = df[["id", "distance", "title", "text"]]
+    return df
 def search_duplicate_news(evt: gr.SelectData):
+    return search(evt.row_value[3].replace(" ...", "")[:1500], k=10)
 with gr.Blocks() as demo:
         """
 ## Demo of [jangedoo/all-MiniLM-L6-v2-nepali](https://huggingface.co/jangedoo/all-MiniLM-L6-v2-nepali) model.
+5,000 [Nepali Wikipedia articles](https://huggingface.co/datasets/wikimedia/wikipedia/viewer/20231101.ne) have been embedded using this model.
 FAISS library is used for similarity search and the embeddings have been quantized to 8bit integers to tradeoff performance vs resource usage.
     )
     btn = gr.Button("Search")
     out = gr.DataFrame(headers=["article", "distance"])
+    # out = gr.Blocks()
+    gr.Markdown(
+        "**Select an article above to see similar articles.** content from 'text' is used for similarity search"
+    )
     duplicate_news = gr.DataFrame(headers=["article", "distance"])
     btn.click(fn=search, inputs=[query, num_results], outputs=out)

create_index.py CHANGED Viewed

@@ -3,17 +3,22 @@ import easyknn
 from sentence_transformers import SentenceTransformer
 ds = datasets.load_dataset(
-    "mridul3301/nepali-text-corpus-64", split="train", streaming=True
 )
-ds = ds.take(5000)
 model = SentenceTransformer("jangedoo/all-MiniLM-L6-v2-nepali")
-texts = [row["Article"] for row in ds]
 embeddings = model.encode(
-    texts, normalize_embeddings=True, convert_to_numpy=True, show_progress_bar=True
 )
 builder = easyknn.EmbeddingsIndexBuilder()
-builder.add(embeddings=embeddings, items=texts)
 knn = easyknn.EasyKNN.from_builder_with_faiss(builder=builder)
 knn.save("./data/knn_index")

 from sentence_transformers import SentenceTransformer
 ds = datasets.load_dataset(
+    "wikimedia/wikipedia", "20231101.ne", split="train", streaming=True
 )
+ds = list(ds.take(5000))
 model = SentenceTransformer("jangedoo/all-MiniLM-L6-v2-nepali")
+texts = [row["text"] for row in ds]
+urls = [row["url"] for row in ds]
 embeddings = model.encode(
+    [text[:1500] for text in texts],
+    normalize_embeddings=True,
+    convert_to_numpy=True,
+    show_progress_bar=True,
 )
 builder = easyknn.EmbeddingsIndexBuilder()
+builder.add(embeddings=embeddings, item_keys=urls, items=ds)
 knn = easyknn.EasyKNN.from_builder_with_faiss(builder=builder)
 knn.save("./data/knn_index")

data/knn_index/easyknn.pkl CHANGED Viewed

@@ -1,3 +1,3 @@
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data/knn_index/item_data.meta ADDED Viewed

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 ]
 [package.dependencies]
-numpy = ">=1.20"
 [package.extras]
 bokeh = ["bokeh", "selenium"]
 docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
-mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.8.0)", "types-Pillow"]
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
-test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 [[package]]
 name = "cycler"
@@ -471,13 +492,13 @@ profile = ["gprof2dot (>=2022.7.29)"]
 [[package]]
 name = "easyknn"
-version = "0.4.1"
 description = "Easy nearest neighbors using Annoy or SKLearn"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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-    {file = "easyknn-0.4.1.tar.gz", hash = "sha256:9f7a2723477fd9379560c14846eeae243ead63a505a00c003807a5d045c0e105"},
 ]
 [[package]]
@@ -521,13 +542,13 @@ packaging = "*"
 [[package]]
 name = "fastapi"
-version = "0.112.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 [package.dependencies]
@@ -536,8 +557,8 @@ starlette = ">=0.37.2,<0.39.0"
 typing-extensions = ">=4.8.0"
 [package.extras]
-all = ["email_validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
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 [[package]]
 name = "ffmpy"
@@ -855,13 +876,13 @@ trio = ["trio (>=0.22.0,<0.26.0)"]
 [[package]]
 name = "httpx"
-version = "0.27.0"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -876,6 +897,7 @@ brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 [[package]]
 name = "huggingface-hub"
@@ -913,13 +935,13 @@ typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "t
 [[package]]
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 description = "Internationalized Domain Names in Applications (IDNA)"
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 ]
 [[package]]
@@ -1569,8 +1591,8 @@ files = [
 [package.dependencies]
 numpy = [
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     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -1764,8 +1786,8 @@ files = [
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 pydantic-core = "2.20.1"
 typing-extensions = [
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 [package.extras]
@@ -1899,13 +1921,13 @@ windows-terminal = ["colorama (>=0.4.6)"]
 [[package]]
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-version = "3.1.2"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
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 python-versions = ">=3.6.8"
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 [[package]]
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+numpy = ">=1.23"
 [package.extras]
 bokeh = ["bokeh", "selenium"]
 docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.11.1)", "types-Pillow"]
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
 [[package]]
 name = "cycler"
 [[package]]
 name = "easyknn"
+version = "0.5.0"
 description = "Easy nearest neighbors using Annoy or SKLearn"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
+    {file = "easyknn-0.5.0-py3-none-any.whl", hash = "sha256:2b6d242cf4396f4736de0006f5c8a1836486ccbc1237f82e058d05adb5ea7e8b"},
+    {file = "easyknn-0.5.0.tar.gz", hash = "sha256:c3c31a4886cddf1b99611ddc9a91bbdbc9845e69cd1355e09a361e6adf25ca18"},
 ]
 [[package]]
 [[package]]
 name = "fastapi"
+version = "0.112.2"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
+    {file = "fastapi-0.112.2-py3-none-any.whl", hash = "sha256:db84b470bd0e2b1075942231e90e3577e12a903c4dc8696f0d206a7904a7af1c"},
+    {file = "fastapi-0.112.2.tar.gz", hash = "sha256:3d4729c038414d5193840706907a41839d839523da6ed0c2811f1168cac1798c"},
 ]
 [package.dependencies]
 typing-extensions = ">=4.8.0"
 [package.extras]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
 [[package]]
 name = "ffmpy"
 [[package]]
 name = "httpx"
+version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
+    {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
+    {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
 ]
 [package.dependencies]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
 [[package]]
 name = "huggingface-hub"
 [[package]]
 name = "idna"
+version = "3.8"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
+python-versions = ">=3.6"
 files = [
+    {file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"},
+    {file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"},
 ]
 [[package]]
 [package.dependencies]
 numpy = [
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
 annotated-types = ">=0.4.0"
 pydantic-core = "2.20.1"
 typing-extensions = [
     {version = ">=4.12.2", markers = "python_version >= \"3.13\""},
+    {version = ">=4.6.1", markers = "python_version < \"3.13\""},
 ]
 [package.extras]
 [[package]]
 name = "pyparsing"
+version = "3.1.4"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.6.8"
 files = [
+    {file = "pyparsing-3.1.4-py3-none-any.whl", hash = "sha256:a6a7ee4235a3f944aa1fa2249307708f893fe5717dc603503c6c7969c070fb7c"},
+    {file = "pyparsing-3.1.4.tar.gz", hash = "sha256:f86ec8d1a83f11977c9a6ea7598e8c27fc5cddfa5b07ea2241edbbde1d7bc032"},
 ]
 [package.extras]
 [[package]]
 name = "rich"
+version = "13.8.0"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
 python-versions = ">=3.7.0"
 files = [
+    {file = "rich-13.8.0-py3-none-any.whl", hash = "sha256:2e85306a063b9492dffc86278197a60cbece75bcb766022f3436f567cae11bdc"},
+    {file = "rich-13.8.0.tar.gz", hash = "sha256:a5ac1f1cd448ade0d59cc3356f7db7a7ccda2c8cbae9c7a90c28ff463d3e91f4"},
 ]
 [package.dependencies]
 [[package]]
 name = "ruff"
+version = "0.6.2"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
+    {file = "ruff-0.6.2-py3-none-linux_armv6l.whl", hash = "sha256:5c8cbc6252deb3ea840ad6a20b0f8583caab0c5ef4f9cca21adc5a92b8f79f3c"},
+    {file = "ruff-0.6.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:17002fe241e76544448a8e1e6118abecbe8cd10cf68fde635dad480dba594570"},
+    {file = "ruff-0.6.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:3dbeac76ed13456f8158b8f4fe087bf87882e645c8e8b606dd17b0b66c2c1158"},
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+    {file = "ruff-0.6.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:316d418fe258c036ba05fbf7dfc1f7d3d4096db63431546163b472285668132b"},
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+    {file = "ruff-0.6.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d371f7fc9cec83497fe7cf5eaf5b76e22a8efce463de5f775a1826197feb9df8"},
+    {file = "ruff-0.6.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a8f310d63af08f583363dfb844ba8f9417b558199c58a5999215082036d795a1"},
+    {file = "ruff-0.6.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7db6880c53c56addb8638fe444818183385ec85eeada1d48fc5abe045301b2f1"},
+    {file = "ruff-0.6.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:1175d39faadd9a50718f478d23bfc1d4da5743f1ab56af81a2b6caf0a2394f23"},
+    {file = "ruff-0.6.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:5b939f9c86d51635fe486585389f54582f0d65b8238e08c327c1534844b3bb9a"},
+    {file = "ruff-0.6.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:d0d62ca91219f906caf9b187dea50d17353f15ec9bb15aae4a606cd697b49b4c"},
+    {file = "ruff-0.6.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:7438a7288f9d67ed3c8ce4d059e67f7ed65e9fe3aa2ab6f5b4b3610e57e3cb56"},
+    {file = "ruff-0.6.2-py3-none-win32.whl", hash = "sha256:279d5f7d86696df5f9549b56b9b6a7f6c72961b619022b5b7999b15db392a4da"},
+    {file = "ruff-0.6.2-py3-none-win_amd64.whl", hash = "sha256:d9f3469c7dd43cd22eb1c3fc16926fb8258d50cb1b216658a07be95dd117b0f2"},
+    {file = "ruff-0.6.2-py3-none-win_arm64.whl", hash = "sha256:f28fcd2cd0e02bdf739297516d5643a945cc7caf09bd9bcb4d932540a5ea4fa9"},
+    {file = "ruff-0.6.2.tar.gz", hash = "sha256:239ee6beb9e91feb8e0ec384204a763f36cb53fb895a1a364618c6abb076b3be"},
 ]
 [[package]]
 [[package]]
 name = "transformers"
+version = "4.44.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
+    {file = "transformers-4.44.2-py3-none-any.whl", hash = "sha256:1c02c65e7bfa5e52a634aff3da52138b583fc6f263c1f28d547dc144ba3d412d"},
+    {file = "transformers-4.44.2.tar.gz", hash = "sha256:36aa17cc92ee154058e426d951684a2dab48751b35b49437896f898931270826"},
 ]
 [package.dependencies]
 [[package]]
 name = "typer"
+version = "0.12.5"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
 files = [
+    {file = "typer-0.12.5-py3-none-any.whl", hash = "sha256:62fe4e471711b147e3365034133904df3e235698399bc4de2b36c8579298d52b"},
+    {file = "typer-0.12.5.tar.gz", hash = "sha256:f592f089bedcc8ec1b974125d64851029c3b1af145f04aca64d69410f0c9b722"},
 ]
 [package.dependencies]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
+content-hash = "9bbc60efad41c6790a3f5060392ea11caef4821307aeb324c2cf141d26c026fe"

pyproject.toml CHANGED Viewed

@@ -4,7 +4,7 @@ version = "0.1.0"
 description = ""
 authors = ["Sanjaya Subedi <[email protected]>"]
 readme = "README.md"
-packages = [{include = "nepali_minilm_demo"}]
 [tool.poetry.dependencies]
 python = "^3.11"
@@ -14,7 +14,7 @@ sentence-transformers = "^3.0.1"
 datasets = "^2.21.0"
 faiss-cpu = "^1.8.0.post1"
 torch = "2.1"
-easyknn = "^0.4.1"
 [build-system]

 description = ""
 authors = ["Sanjaya Subedi <[email protected]>"]
 readme = "README.md"
+packages = [{ include = "nepali_minilm_demo" }]
 [tool.poetry.dependencies]
 python = "^3.11"
 datasets = "^2.21.0"
 faiss-cpu = "^1.8.0.post1"
 torch = "2.1"
+easyknn = "^0.5.0"
 [build-system]