AI and api

.gitignore

@@ -0,0 +1,161 @@
+# 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-project.org/#use-with-ide
+.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/

.vscode/settings.json

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+{
+  "python.analysis.extraPaths": [
+    "${workspaceFolder}/__pypackages__/3.11/lib"
+  ],
+  "python.autoComplete.extraPaths": [
+    "${workspaceFolder}/__pypackages__/3.11/lib"
+  ]
+}

README.md

@@ -1,12 +1 @@
----
-title: Api Recommend
-emoji: 🏢
-colorFrom: purple
-colorTo: gray
-sdk: streamlit
-sdk_version: 1.39.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# microsservice-ai

pdm.lock

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+# It is not intended for manual editing.
+
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potas_recommend

@@ -0,0 +1 @@
+Subproject commit 4d8378a8f9b645ff9f87e1bdc9551dfa42279984

pyproject.toml

@@ -0,0 +1,31 @@
+[project]
+name = "1"
+version = "1"
+description = "Default template for PDM package"
+authors = [
+    {name = "kauabarros-24", email = "martinsbarroskaua@gmail.com"},
+]
+dependencies = [
+    "fastapi>=0.115.3",
+    "uvicorn[standard]>=0.32.0",
+    "transformers>=4.46.0",
+    "torch>=2.5.0",
+]
+requires-python = ">=3.11"
+readme = "README.md"
+license = {text = "MIT"}
+
+
+[tool.pdm]
+distribution = true
+
+[build-system]
+requires = ["pdm-backend"]
+build-backend = "pdm.backend"
+
+
+[tool.pdm.scripts]
+fast = "uvicorn src.1.main:app --reload"
+
+
+

src/1/main.py

@@ -0,0 +1,7 @@
+from fastapi import FastAPI
+from .routes.ai_routes import router as ai_router
+from .routes.system import router as system_router
+app = FastAPI()
+
+app.include_router(ai_router)
+app.include_router(system_router)

src/1/models/ai_request.py

@@ -0,0 +1,7 @@
+from pydantic import BaseModel
+
+class Request(BaseModel):
+    audience: str
+    category: str
+    area: str
+    sub_area: str

src/1/routes/ai_routes.py

@@ -0,0 +1,38 @@
+from ..models.ai_request import Request
+import torch
+from fastapi import APIRouter
+from transformers import BertForSequenceClassification, BertTokenizer
+
+model_name = "potas_recommend"
+model = BertForSequenceClassification.from_pretrained(model_name)
+tokenizer = BertTokenizer.from_pretrained(model_name)
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+model.to(device)
+
+
+router = APIRouter()
+@router.post("/ai")
+async def ai(request: Request):
+    text = (
+        f"This ads is focused in: {request.audience}"
+        f"This category is: {request.category} "
+        f"This area is: {request.area}"
+        f"This sub area of ads: {request.sub_area}"
+    )
+
+    inputs = tokenizer.encode_plus(
+        text,
+        add_special_tokens=True,
+        return_tensors="pt",
+        padding='max_length',
+        truncation=True,
+        max_length=255
+    )
+    input_ids = inputs['input_ids'].to(device)
+    attention_mask = inputs['attention_mask'].to(device)
+
+    with torch.no_grad():
+        outputs = model(input_ids, attention_mask=attention_mask)
+        logits = outputs.logits
+
+    return logits.tolist()

src/1/routes/system.py

@@ -0,0 +1,8 @@
+from fastapi import APIRouter
+
+router = APIRouter()
+
+@router.get("/")
+async def system():
+    print("System in running in port 8000")
+    return {"message": "System is running!"}