parth parekh
commited on
Commit
·
bfa14f8
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Parent(s):
6650029
running now
Browse files- __pycache__/predictor.cpython-312.pyc +0 -0
- app.py +2 -4
- predictor.py +4 -2
- requirements.txt +73 -4
- vocab.pth +3 -0
__pycache__/predictor.cpython-312.pyc
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Binary file (7.53 kB). View file
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app.py
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@@ -46,12 +46,10 @@ async def detect_contact(input: TextInput):
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}
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# If no regex patterns match, use the model
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is_contact = probability > 0.5 # You can adjust this threshold as needed
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return {
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"text": input.text,
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"contact_probability": probability,
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"is_contact_info": is_contact,
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"method": "model"
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}
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}
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# If no regex patterns match, use the model
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# Probability of containing contact info
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is_contact = predict(input.text) # You can adjust this threshold as needed
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return {
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"text": input.text,
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"is_contact_info": is_contact,
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"method": "model"
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}
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predictor.py
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@@ -83,16 +83,18 @@ test_sentences = [
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]
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def predict(text):
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with torch.no_grad():
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inputs = torch.tensor([text_pipeline(text)])
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if inputs.size(1) < max(FILTER_SIZES):
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padding = torch.zeros(1, max(FILTER_SIZES) - inputs.size(1), dtype=torch.long)
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inputs = torch.cat([inputs, padding], dim=1)
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inputs = inputs.to(device)
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outputs = model(inputs)
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# Test the sentences
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]
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# Function to predict
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def predict(text):
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with torch.no_grad():
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inputs = torch.tensor([text_pipeline(text)])
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if inputs.size(1) < max(FILTER_SIZES):
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# Pad the input if it's shorter than the largest filter size
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padding = torch.zeros(1, max(FILTER_SIZES) - inputs.size(1), dtype=torch.long)
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inputs = torch.cat([inputs, padding], dim=1)
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inputs = inputs.to(device)
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outputs = model(inputs)
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return torch.argmax(outputs, dim=1).item()
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# Test the sentences
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requirements.txt
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@@ -1,4 +1,73 @@
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annotated-types==0.7.0
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anyio==4.6.0
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blis==0.7.11
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catalogue==2.0.10
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certifi==2024.8.30
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charset-normalizer==3.3.2
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click==8.1.7
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cloudpathlib==0.19.0
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colorama==0.4.6
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confection==0.1.5
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cymem==2.0.8
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distro==1.9.0
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en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl#sha256=86cc141f63942d4b2c5fcee06630fd6f904788d2f0ab005cce45aadb8fb73889
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fastapi==0.115.0
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filelock==3.13.1
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fsspec==2024.2.0
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greenlet==3.1.1
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groq==0.11.0
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h11==0.14.0
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httpcore==1.0.5
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httpx==0.27.2
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huggingface-hub==0.25.1
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idna==3.10
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Jinja2==3.1.3
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langcodes==3.4.0
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language_data==1.2.0
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marisa-trie==1.2.0
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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mdurl==0.1.2
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mpmath==1.3.0
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murmurhash==1.0.10
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networkx==3.2.1
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numpy==1.26.3
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packaging==24.1
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pillow==10.2.0
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preshed==3.0.9
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psycopg2==2.9.9
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pydantic==2.9.2
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pydantic_core==2.23.4
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Pygments==2.18.0
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PyYAML==6.0.2
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regex==2024.9.11
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requests==2.32.3
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rich==13.8.1
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safetensors==0.4.5
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setuptools==70.0.0
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shellingham==1.5.4
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smart-open==7.0.4
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sniffio==1.3.1
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spacy==3.7.6
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spacy-legacy==3.0.12
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spacy-loggers==1.0.5
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SQLAlchemy==2.0.35
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srsly==2.4.8
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starlette==0.38.5
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sympy==1.12
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thinc==8.2.5
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tokenizers==0.19.1
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torch==2.2.0
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torchaudio==2.4.1+cu118
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torchdata==0.7.1
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torchtext==0.16.2
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torchvision==0.19.1+cu118
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tqdm==4.66.5
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transformers==4.44.2
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typer==0.12.5
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typing_extensions==4.12.2
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urllib3==2.2.3
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uvicorn==0.30.6
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wasabi==1.1.3
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weasel==0.4.1
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wrapt==1.16.0
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vocab.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:28edf2ae44d144c4566f0e5f95b856391166ac138ee578bac7fd9db151e1790a
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size 5184491
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