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Browse files- .gitignore +5 -0
- requirements.txt +91 -0
- translator.ipynb +452 -0
.gitignore
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secret.py
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__pycache__
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| 3 |
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.venv
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flagged
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*.github
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requirements.txt
ADDED
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@@ -0,0 +1,91 @@
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aiofiles==23.2.1
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| 2 |
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altair==5.3.0
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| 3 |
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annotated-types==0.7.0
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| 4 |
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anyio==4.4.0
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| 5 |
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attrs==23.2.0
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| 6 |
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blinker==1.6.3
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| 7 |
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certifi==2023.7.22
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| 8 |
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charset-normalizer==3.3.1
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| 9 |
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click==8.1.7
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| 10 |
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colorama==0.4.6
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| 11 |
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contourpy==1.2.1
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| 12 |
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cycler==0.12.1
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| 13 |
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dnspython==2.6.1
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| 14 |
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email_validator==2.1.1
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| 15 |
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fastapi==0.111.0
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| 16 |
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fastapi-cli==0.0.4
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| 17 |
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ffmpy==0.3.2
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| 18 |
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filelock==3.13.0
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| 19 |
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Flask==3.0.0
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| 20 |
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fonttools==4.52.4
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| 21 |
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fsspec==2023.10.0
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| 22 |
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gradio==4.32.0
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| 23 |
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gradio_client==0.17.0
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| 24 |
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h11==0.14.0
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| 25 |
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httpcore==1.0.5
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| 26 |
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httptools==0.6.1
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| 27 |
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httpx==0.27.0
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| 28 |
+
huggingface-hub==0.17.3
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| 29 |
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idna==3.4
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| 30 |
+
importlib_resources==6.4.0
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| 31 |
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intel-openmp==2021.4.0
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| 32 |
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itsdangerous==2.1.2
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| 33 |
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Jinja2==3.1.2
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| 34 |
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joblib==1.3.2
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| 35 |
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jsonschema==4.22.0
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| 36 |
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jsonschema-specifications==2023.12.1
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kiwisolver==1.4.5
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| 38 |
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markdown-it-py==3.0.0
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| 39 |
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MarkupSafe==2.1.3
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| 40 |
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matplotlib==3.9.0
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| 41 |
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mdurl==0.1.2
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| 42 |
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mkl==2021.4.0
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| 43 |
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mpmath==1.3.0
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| 44 |
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networkx==3.3
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| 45 |
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nltk==3.8.1
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| 46 |
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numpy==1.26.1
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| 47 |
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orjson==3.10.3
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| 48 |
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packaging==23.2
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pandas==2.2.2
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| 50 |
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pillow==10.3.0
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| 51 |
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protobuf==5.27.0
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pydantic==2.7.2
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pydantic_core==2.18.3
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pydub==0.25.1
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| 55 |
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Pygments==2.18.0
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| 56 |
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pyparsing==3.1.2
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| 57 |
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python-dateutil==2.9.0.post0
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| 58 |
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python-dotenv==1.0.1
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| 59 |
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python-multipart==0.0.9
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pytz==2024.1
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| 61 |
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PyYAML==6.0.1
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| 62 |
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referencing==0.35.1
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| 63 |
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regex==2023.10.3
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| 64 |
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requests==2.31.0
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| 65 |
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rich==13.7.1
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| 66 |
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rpds-py==0.18.1
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| 67 |
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ruff==0.4.6
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| 68 |
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safetensors==0.4.0
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| 69 |
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semantic-version==2.10.0
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| 70 |
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sentencepiece==0.1.99
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| 71 |
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shellingham==1.5.4
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| 72 |
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six==1.16.0
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| 73 |
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sniffio==1.3.1
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| 74 |
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starlette==0.37.2
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| 75 |
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sympy==1.12.1
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| 76 |
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tbb==2021.12.0
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| 77 |
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tokenizers==0.14.1
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| 78 |
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tomlkit==0.12.0
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| 79 |
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toolz==0.12.1
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| 80 |
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torch==2.3.0
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| 81 |
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tqdm==4.66.1
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| 82 |
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transformers==4.34.1
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| 83 |
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typer==0.12.3
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| 84 |
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typing_extensions==4.8.0
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| 85 |
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tzdata==2024.1
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| 86 |
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ujson==5.10.0
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| 87 |
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urllib3==2.0.7
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| 88 |
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uvicorn==0.30.0
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| 89 |
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watchfiles==0.22.0
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| 90 |
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websockets==11.0.3
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| 91 |
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Werkzeug==3.0.1
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translator.ipynb
ADDED
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@@ -0,0 +1,452 @@
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| 1 |
+
{
|
| 2 |
+
"nbformat": 4,
|
| 3 |
+
"nbformat_minor": 0,
|
| 4 |
+
"metadata": {
|
| 5 |
+
"colab": {
|
| 6 |
+
"provenance": []
|
| 7 |
+
},
|
| 8 |
+
"kernelspec": {
|
| 9 |
+
"name": "python3",
|
| 10 |
+
"display_name": "Python 3"
|
| 11 |
+
},
|
| 12 |
+
"language_info": {
|
| 13 |
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"name": "python"
|
| 14 |
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}
|
| 15 |
+
},
|
| 16 |
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"cells": [
|
| 17 |
+
{
|
| 18 |
+
"cell_type": "code",
|
| 19 |
+
"execution_count": null,
|
| 20 |
+
"metadata": {
|
| 21 |
+
"colab": {
|
| 22 |
+
"base_uri": "https://localhost:8080/"
|
| 23 |
+
},
|
| 24 |
+
"id": "JW_q5khKnpb7",
|
| 25 |
+
"outputId": "56c6c160-d1bc-43e1-c25b-677f149e230b"
|
| 26 |
+
},
|
| 27 |
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"outputs": [
|
| 28 |
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{
|
| 29 |
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"output_type": "stream",
|
| 30 |
+
"name": "stdout",
|
| 31 |
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"text": [
|
| 32 |
+
"Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.41.1)\n",
|
| 33 |
+
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.14.0)\n",
|
| 34 |
+
"Requirement already satisfied: huggingface-hub<1.0,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.23.1)\n",
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| 35 |
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"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.25.2)\n",
|
| 36 |
+
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (24.0)\n",
|
| 37 |
+
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
|
| 38 |
+
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2024.5.15)\n",
|
| 39 |
+
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
|
| 40 |
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}
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],
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"source": [
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"!pip install transformers\n",
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"!pip install huggingface_hub\n",
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| 67 |
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"!python -c \"from huggingface_hub.hf_api import HfFolder; HfFolder.save_token(<YOUR_TOKEN_HERE>)\""
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]
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},
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{
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"cell_type": "code",
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"source": [
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"!pip install sentencepiece\n",
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"nltk.download('punkt')"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "guoGKlR4n1tY",
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"outputId": "2653425f-2888-4318-cb4f-03a38e805077"
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},
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"execution_count": null,
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{
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"name": "stdout",
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"output_type": "stream",
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"name": "stderr",
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"text": [
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+
"[nltk_data] Downloading package punkt to /root/nltk_data...\n",
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"[nltk_data] Package punkt is already up-to-date!\n"
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},
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"output_type": "execute_result",
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"source": [
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"!pip install gradio"
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],
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"colab": {
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]
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]
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},
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| 208 |
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{
|
| 209 |
+
"cell_type": "code",
|
| 210 |
+
"source": [
|
| 211 |
+
"import requests\n",
|
| 212 |
+
"from transformers import pipeline\n",
|
| 213 |
+
"import nltk\n",
|
| 214 |
+
"from nltk import sent_tokenize\n",
|
| 215 |
+
"from transformers import MBartForConditionalGeneration, MBart50TokenizerFast\n",
|
| 216 |
+
"from transformers import pipeline"
|
| 217 |
+
],
|
| 218 |
+
"metadata": {
|
| 219 |
+
"id": "laNjJ5sHn7EP"
|
| 220 |
+
},
|
| 221 |
+
"execution_count": null,
|
| 222 |
+
"outputs": []
|
| 223 |
+
},
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| 224 |
+
{
|
| 225 |
+
"cell_type": "code",
|
| 226 |
+
"source": [
|
| 227 |
+
"# Use a pipeline as a high-level helper\n",
|
| 228 |
+
"from transformers import pipeline\n",
|
| 229 |
+
"\n",
|
| 230 |
+
"pipe = pipeline(\"text2text-generation\", model=\"SnypzZz/Llama2-13b-Language-translate\", use_fast = False)"
|
| 231 |
+
],
|
| 232 |
+
"metadata": {
|
| 233 |
+
"id": "GyqW7CypoCsX"
|
| 234 |
+
},
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| 235 |
+
"execution_count": null,
|
| 236 |
+
"outputs": []
|
| 237 |
+
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| 239 |
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| 240 |
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"source": [
|
| 241 |
+
"tokenizer = MBart50TokenizerFast.from_pretrained(\"SnypzZz/Llama2-13b-Language-translate\", src_lang=\"en_XX\")\n",
|
| 242 |
+
"model = None\n",
|
| 243 |
+
"model_loaded = False"
|
| 244 |
+
],
|
| 245 |
+
"metadata": {
|
| 246 |
+
"id": "XrBJH1-ToJW3"
|
| 247 |
+
},
|
| 248 |
+
"execution_count": null,
|
| 249 |
+
"outputs": []
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"cell_type": "code",
|
| 253 |
+
"source": [
|
| 254 |
+
"api_token_header = \"\"\n",
|
| 255 |
+
"with open('/content/secrets.py', 'r') as f:\n",
|
| 256 |
+
" api_token_header = f.read()"
|
| 257 |
+
],
|
| 258 |
+
"metadata": {
|
| 259 |
+
"id": "yvoISQtlyyF6"
|
| 260 |
+
},
|
| 261 |
+
"execution_count": null,
|
| 262 |
+
"outputs": []
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"cell_type": "code",
|
| 266 |
+
"source": [
|
| 267 |
+
"def load_model():\n",
|
| 268 |
+
" global model, model_loaded\n",
|
| 269 |
+
" model = MBartForConditionalGeneration.from_pretrained(\"SnypzZz/Llama2-13b-Language-translate\")\n",
|
| 270 |
+
" model_loaded =True\n",
|
| 271 |
+
" return model"
|
| 272 |
+
],
|
| 273 |
+
"metadata": {
|
| 274 |
+
"id": "Z2HyW64woSps"
|
| 275 |
+
},
|
| 276 |
+
"execution_count": null,
|
| 277 |
+
"outputs": []
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"cell_type": "code",
|
| 281 |
+
"source": [
|
| 282 |
+
"def translation(text,dest_lang,dest_lang_code, src_lang_code):\n",
|
| 283 |
+
"\n",
|
| 284 |
+
" if(dest_lang_code == src_lang_code):\n",
|
| 285 |
+
" return \"Please select different languages to translate between.\"\n",
|
| 286 |
+
"\n",
|
| 287 |
+
" # headers = {\"Authorization\": f\"Bearer {secrets_sih.api_token_header}\"}\n",
|
| 288 |
+
" headers = {\"Authorization\": f\"Bearer {api_token_header}\"}\n",
|
| 289 |
+
"\n",
|
| 290 |
+
" # Bengali Done\n",
|
| 291 |
+
" if(dest_lang == \"Bengali\" and src_lang_code == \"en_XX\"):\n",
|
| 292 |
+
" API_URL = \"https://api-inference.huggingface.co/models/csebuetnlp/banglat5_nmt_en_bn\"\n",
|
| 293 |
+
" def query(payload):\n",
|
| 294 |
+
" response = requests.post(API_URL, headers=headers, json=payload)\n",
|
| 295 |
+
" return response.json()\n",
|
| 296 |
+
" output = query({\n",
|
| 297 |
+
" \"inputs\": text,\n",
|
| 298 |
+
" })\n",
|
| 299 |
+
" print(output)\n",
|
| 300 |
+
" return output[0]['translation_text']\n",
|
| 301 |
+
" else:\n",
|
| 302 |
+
" global model\n",
|
| 303 |
+
" if model:\n",
|
| 304 |
+
" pass\n",
|
| 305 |
+
" else:\n",
|
| 306 |
+
" model = load_model()\n",
|
| 307 |
+
" loaded_model = model\n",
|
| 308 |
+
" tokenizer = MBart50TokenizerFast.from_pretrained(\"SnypzZz/Llama2-13b-Language-translate\", src_lang=src_lang_code)\n",
|
| 309 |
+
" #model_inputs = tokenizer(text, return_tensors=\"pt\")\n",
|
| 310 |
+
" loaded_model_inputs = tokenizer(text, return_tensors=\"pt\")\n",
|
| 311 |
+
"\n",
|
| 312 |
+
" # translate\n",
|
| 313 |
+
" generated_tokens = loaded_model.generate(\n",
|
| 314 |
+
" **loaded_model_inputs,\n",
|
| 315 |
+
" forced_bos_token_id=tokenizer.lang_code_to_id[dest_lang_code]\n",
|
| 316 |
+
" )\n",
|
| 317 |
+
" output = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)\n",
|
| 318 |
+
" print(output)\n",
|
| 319 |
+
" return output[0]"
|
| 320 |
+
],
|
| 321 |
+
"metadata": {
|
| 322 |
+
"id": "q2H24G_lobxo"
|
| 323 |
+
},
|
| 324 |
+
"execution_count": null,
|
| 325 |
+
"outputs": []
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"cell_type": "code",
|
| 329 |
+
"source": [
|
| 330 |
+
"def main_translation(text,dest_lang_code,src_lang_code):\n",
|
| 331 |
+
"\n",
|
| 332 |
+
" codes = {\"en_XX\":\"English\",\"bn_IN\":\"Bengali\", \"en_GB\":\"English\",\"gu_IN\":\"Gujarati\",\"hi_IN\":\"Hindi\",\"ta_IN\":\"Tamil\",\"te_IN\":\"Telugu\",\"mr_IN\":\"Marathi\"}\n",
|
| 333 |
+
" dest_lang = codes[dest_lang_code]\n",
|
| 334 |
+
" src_lang = codes[src_lang_code]\n",
|
| 335 |
+
"\n",
|
| 336 |
+
" sentences = sent_tokenize(text)\n",
|
| 337 |
+
" output = \"\"\n",
|
| 338 |
+
" for line in sentences:\n",
|
| 339 |
+
" output += translation(line,dest_lang,dest_lang_code, src_lang_code)\n",
|
| 340 |
+
" return {\"output\":output}"
|
| 341 |
+
],
|
| 342 |
+
"metadata": {
|
| 343 |
+
"id": "Q8-OWT7nodES"
|
| 344 |
+
},
|
| 345 |
+
"execution_count": null,
|
| 346 |
+
"outputs": []
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"cell_type": "code",
|
| 350 |
+
"source": [
|
| 351 |
+
"main_translation(\"Hello World\", \"hi_IN\",\"en_XX\")"
|
| 352 |
+
],
|
| 353 |
+
"metadata": {
|
| 354 |
+
"colab": {
|
| 355 |
+
"base_uri": "https://localhost:8080/"
|
| 356 |
+
},
|
| 357 |
+
"id": "EHt29-U2wMp7",
|
| 358 |
+
"outputId": "c0cd8454-603e-4ed9-919a-cf6801397864"
|
| 359 |
+
},
|
| 360 |
+
"execution_count": null,
|
| 361 |
+
"outputs": [
|
| 362 |
+
{
|
| 363 |
+
"output_type": "stream",
|
| 364 |
+
"name": "stdout",
|
| 365 |
+
"text": [
|
| 366 |
+
"['हेलो वर्ल्ड']\n"
|
| 367 |
+
]
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"output_type": "execute_result",
|
| 371 |
+
"data": {
|
| 372 |
+
"text/plain": [
|
| 373 |
+
"{'output': 'हेलो वर्ल्ड'}"
|
| 374 |
+
]
|
| 375 |
+
},
|
| 376 |
+
"metadata": {},
|
| 377 |
+
"execution_count": 56
|
| 378 |
+
}
|
| 379 |
+
]
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"cell_type": "code",
|
| 383 |
+
"source": [
|
| 384 |
+
"#User Interface\n",
|
| 385 |
+
"\n",
|
| 386 |
+
"import gradio as gr\n",
|
| 387 |
+
"\n",
|
| 388 |
+
"\n",
|
| 389 |
+
"def test(text, src, dest):\n",
|
| 390 |
+
" ans = main_translation(text,dest,src)\n",
|
| 391 |
+
" return ans['output']\n",
|
| 392 |
+
"demo = gr.Interface(\n",
|
| 393 |
+
" test,\n",
|
| 394 |
+
" [\"textbox\",\n",
|
| 395 |
+
" gr.Dropdown(\n",
|
| 396 |
+
" [(\"English\", \"en_XX\"), (\"Hindi\",\"hi_IN\"), (\"Bengali\",\"bn_IN\"), (\"Gujarati\",\"gu_IN\"), (\"Tamil\",\"ta_IN\"), (\"Telugu\",\"te_IN\"), (\"Marathi\",\"mr_IN\")], label=\"Source\", info=\"Select the Source Language!\"\n",
|
| 397 |
+
" ),\n",
|
| 398 |
+
" gr.Dropdown(\n",
|
| 399 |
+
" [(\"English\", \"en_XX\"), (\"Hindi\",\"hi_IN\"), (\"Bengali\",\"bn_IN\"), (\"Gujarati\",\"gu_IN\"), (\"Tamil\",\"ta_IN\"), (\"Telugu\",\"te_IN\"), (\"Marathi\",\"mr_IN\")], label=\"Destination\", info=\"Select the Destination Language!\"\n",
|
| 400 |
+
" ),\n",
|
| 401 |
+
" ],\n",
|
| 402 |
+
" outputs=[\"textbox\"],\n",
|
| 403 |
+
")\n",
|
| 404 |
+
"\n",
|
| 405 |
+
"demo.launch()\n"
|
| 406 |
+
],
|
| 407 |
+
"metadata": {
|
| 408 |
+
"colab": {
|
| 409 |
+
"base_uri": "https://localhost:8080/",
|
| 410 |
+
"height": 646
|
| 411 |
+
},
|
| 412 |
+
"id": "ebFtlmmmpCQO",
|
| 413 |
+
"outputId": "a064cd8e-dca3-4eda-d95e-bc25fac28d23"
|
| 414 |
+
},
|
| 415 |
+
"execution_count": null,
|
| 416 |
+
"outputs": [
|
| 417 |
+
{
|
| 418 |
+
"output_type": "stream",
|
| 419 |
+
"name": "stdout",
|
| 420 |
+
"text": [
|
| 421 |
+
"Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n",
|
| 422 |
+
"\n",
|
| 423 |
+
"Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
|
| 424 |
+
"Running on public URL: https://3800d81e3201b8d734.gradio.live\n",
|
| 425 |
+
"\n",
|
| 426 |
+
"This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
|
| 427 |
+
]
|
| 428 |
+
},
|
| 429 |
+
{
|
| 430 |
+
"output_type": "display_data",
|
| 431 |
+
"data": {
|
| 432 |
+
"text/plain": [
|
| 433 |
+
"<IPython.core.display.HTML object>"
|
| 434 |
+
],
|
| 435 |
+
"text/html": [
|
| 436 |
+
"<div><iframe src=\"https://3800d81e3201b8d734.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
|
| 437 |
+
]
|
| 438 |
+
},
|
| 439 |
+
"metadata": {}
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"output_type": "execute_result",
|
| 443 |
+
"data": {
|
| 444 |
+
"text/plain": []
|
| 445 |
+
},
|
| 446 |
+
"metadata": {},
|
| 447 |
+
"execution_count": 57
|
| 448 |
+
}
|
| 449 |
+
]
|
| 450 |
+
}
|
| 451 |
+
]
|
| 452 |
+
}
|