Spaces:
Sleeping
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Add app file
Browse files- .gitignore +117 -0
- app.py +53 -0
- requirements.txt +0 -0
.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# celery beat schedule file
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyder-py3
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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app.py
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@@ -0,0 +1,53 @@
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from fastapi import FastAPI, File, UploadFile, Form
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from fastapi.responses import JSONResponse
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from transformers import pipeline
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from fastapi.middleware.cors import CORSMiddleware
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Allows all origins
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allow_credentials=True,
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allow_methods=["*"], # Allows all methods
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allow_headers=["*"], # Allows all headers
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)
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# Initialize the VQA pipeline
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vqa_pipe = pipeline("visual-question-answering", model="Salesforce/blip-vqa-capfilt-large", max_new_tokens=20)
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@app.post('/answer_question')
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async def answer_question(image: UploadFile = File(...), question: str = Form(...)):
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"""
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This is the VQA API
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Call this api passing an image and a question about the image
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---
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parameters:
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- name: image
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in: formData
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type: file
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required: true
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- name: question
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in: formData
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type: string
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required: true
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responses:
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200:
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description: Returns the answer to the question about the image
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"""
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# Save the image locally
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image_path = 'temp_image.jpg'
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with open(image_path, 'wb') as f:
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f.write(await image.read())
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# Use the VQA pipeline to get the answer
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result = vqa_pipe(image=image_path, question=question)
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# Return the answer as JSON
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return JSONResponse(content={'answer': result[0]['answer']})
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if __name__ == '__main__':
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8080)
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requirements.txt
ADDED
Binary file (86 Bytes). View file
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