Najish Mahmud
commited on
Commit
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7900aac
1
Parent(s):
96f24e9
first launch
Browse files- .gitignore +1 -0
- app.py +37 -0
- requirements.txt +104 -0
.gitignore
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.venv
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app.py
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# import transformers
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import sentencepiece
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import torch
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import gradio as gr
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# from indicnlp.normalize.indic_normalize import IndicNormalizerFactory
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from transformers import MarianMTModel, AutoTokenizer, T5ForConditionalGeneration
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from deep_translator import GoogleTranslator
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def summarize(message):
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tokenizer_bn_en = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-bn-en")
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model_bn_en = MarianMTModel.from_pretrained("Helsinki-NLP/opus-mt-bn-en")
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tokenizer = AutoTokenizer.from_pretrained('t5-base')
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model = T5ForConditionalGeneration.from_pretrained('t5-base')
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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with torch.no_grad():
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# tokenize the input text
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input_ids = tokenizer_bn_en.encode(message, return_tensors='pt')
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# generate the output translation
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output_ids = model_bn_en.generate(input_ids)
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output_text1 = tokenizer_bn_en.decode(output_ids[0], skip_special_tokens=True)
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#input for the summarization model
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input_text2 = output_text1
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# tokenize the input text and generate the summary in english
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input_ids = tokenizer.encode(input_text2, return_tensors='pt')
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summary_ids = model.generate(input_ids, max_length=50, num_beams=30, early_stopping=True)
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summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
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summarized = GoogleTranslator(source='en', target='bn').translate(summary)
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return summarized
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# summarize("যুক্তরাষ্ট্রের নিউজার্সি অঙ্গরাজ্যের হোপওয়েল শহর এলাকার একটি বাড়ির ছাদে একটি ধাতব বস্তু আছড়ে পড়েছে। ধাতব বস্তুটি উল্কাপিণ্ড হতে পারে বলে ধারণা করা হচ্ছে। এ ঘটনায় কেউ হতাহত হয়নি বলে জানিয়েছে পুলিশ। স্থানীয় সময় গত সোমবার বেলা একটার কিছু সময় পর ওল্ড ওয়াশিংটন ক্রসিং পেনিংটন রোড এলাকায় অবস্থিত একটি বাড়িতে এ ঘটনা ঘটে। পুলিশের ভাষ্য, বস্তুটি আয়তাকার। দেখতে ধাতব পদার্থের মতো। বাড়ির বাসিন্দারা জানান, ঘটনার পর তাঁরা সংশ্লিষ্ট সহায়তা কর্তৃপক্ষকে ফোন করেন। আকাশ থেকে কোনো বস্তু যে বাড়ির ছাদে এসে পড়েছে, এ কথা কর্তৃপক্ষকে বোঝাতে তাঁদের বেগ পেতে হয়েছে।")
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iface = gr.Interface(fn=summarize, inputs="text", outputs="text")
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iface.launch()
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requirements.txt
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appdirs==1.4.4
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async-timeout==4.0.2
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attrs==22.2.0
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autocommand==2.2.2
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beautifulsoup4==4.12.2
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Brlapi==0.8.4
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btrfsutil==6.3
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build==0.10.0
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cached-property==1.5.2
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cffi==1.15.1
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chardet==5.1.0
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cmake==3.26.3
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cryptography==40.0.2
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cssselect==1.2.0
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Cython==0.29.34
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deep-translator==1.10.1
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fastjsonschema==2.16.3
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filelock==3.12.0
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flit_core==3.8.0
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fsspec==2023.5.0
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greenlet==2.0.2
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grpcio==1.53.0
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huggingface-hub==0.14.1
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idna==3.4
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ifaddr==0.2.0
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inflect==6.0.4
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installer==0.7.0
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jaraco.context==4.3.0
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jaraco.functools==3.6.0
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jaraco.text==3.11.1
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Jinja2==3.1.2
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lensfun==0.3.3
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Levenshtein==0.21.0
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libfdt==1.7.0
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libtorrent==2.0.8
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lit==16.0.3
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louis==3.25.0
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lxml==4.9.2
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MarkupSafe==2.1.2
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meson==1.1.0
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more-itertools==9.1.0
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mpmath==1.3.0
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msgpack==1.0.5
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netifaces==0.11.0
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netsnmp-python==1.0a1
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networkx==3.1
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nspektr==0.4.0
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numpy==1.24.3
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nvidia-cublas-cu11==11.10.3.66
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nvidia-cuda-cupti-cu11==11.7.101
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nvidia-cuda-nvrtc-cu11==11.7.99
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nvidia-cuda-runtime-cu11==11.7.99
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nvidia-cudnn-cu11==8.5.0.96
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nvidia-cufft-cu11==10.9.0.58
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nvidia-curand-cu11==10.2.10.91
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nvidia-cusolver-cu11==11.4.0.1
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nvidia-cusparse-cu11==11.7.4.91
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nvidia-nccl-cu11==2.14.3
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nvidia-nvtx-cu11==11.7.91
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ordered-set==4.1.0
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packaging==23.0
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platformdirs==3.5.0
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ply==3.11
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protobuf==4.21.12
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psutil==5.9.5
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pwquality==1.4.5
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pycairo==1.23.0
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pycparser==2.21
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pydantic==1.10.7
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pyenchant==3.2.2
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PyGObject==3.44.1
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PyNaCl==1.4.0
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pynvim==0.4.3
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pypandoc==1.11
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pyparsing==3.0.9
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pyproject_hooks==1.0.0
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pywayland==0.4.15
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pywlroots==0.15.24
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pyxdg==0.28
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PyYAML==6.0
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rapidfuzz==3.0.0
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regex==2023.5.5
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requests==2.28.2
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scour==0.38.2
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sentencepiece==0.1.99
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setproctitle==1.3.2
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shiboken2==5.15.9
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six==1.16.0
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soupsieve==2.4.1
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sympy==1.12
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tokenizers==0.13.3
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tomli==2.0.1
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tomli_w==1.0.0
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torch==2.0.1
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tqdm==4.65.0
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transformers==4.29.1
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triton==2.0.0
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trove-classifiers==2023.4.29
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typing_extensions==4.5.0
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ufw==0.36.1
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urllib3==1.26.15
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validate-pyproject==0.12.2.post1.dev0+g2940279.d20230508
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| 103 |
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xkbcommon==0.8
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zeroconf==0.39.4
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