Spaces:
Sleeping
Sleeping
primera version de app
Browse files- .gitignore +176 -0
- app.py +102 -0
- requirements.txt +0 -0
.gitignore
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# Created by https://www.toptal.com/developers/gitignore/api/python
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# Edit at https://www.toptal.com/developers/gitignore?templates=python
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### Python ###
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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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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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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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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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.scrapy
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docs/_build/
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# PyBuilder
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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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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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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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.spyproject
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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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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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### Python Patch ###
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# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
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poetry.toml
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# ruff
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.ruff_cache/
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# LSP config files
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pyrightconfig.json
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# End of https://www.toptal.com/developers/gitignore/api/python
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app.py
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import streamlit as st
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import base64
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import os
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from io import BytesIO
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from pypdf import PdfReader
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from langchain.schema import Document
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from langchain.embeddings import HuggingFaceEmbeddings
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from langchain_pinecone import PineconeVectorStore
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from pinecone import Pinecone as PineconeClient, ServerlessSpec
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# Configuración de las variables de entorno
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hf_token = os.getenv("HUGGINGFACE_TOKEN")
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pinecone_api_key = os.getenv("PINECONE_API_KEY")
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st.set_page_config(page_title="Clasificador de CVs", layout="wide")
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st.title("🎯 Clasificador de CVs por Puesto de Trabajo")
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# Inputs
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titulo_puesto = st.text_input("🧑💼 Título del puesto", placeholder="Ej: Desarrollador Backend Senior")
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descripcion_puesto = st.text_area("📝 Descripción del puesto", height=200)
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uploaded_files = st.file_uploader("📎 Subir CVs (PDF)", type="pdf", accept_multiple_files=True)
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if st.button("📊 Procesar CVs"):
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if not uploaded_files:
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st.warning("Primero sube al menos un CV.")
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elif not descripcion_puesto.strip():
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st.warning("Debes escribir una descripción del puesto.")
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else:
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# Inicializar Pinecone
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pc = PineconeClient(api_key=pinecone_api_key)
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index_name = "cv-index"
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if index_name not in pc.list_indexes().names():
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pc.create_index(
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name=index_name,
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dimension=384,
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metric='cosine',
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spec=ServerlessSpec(cloud='aws', region='us-east-1')
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)
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index = pc.Index(index_name)
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# Inicializar modelo de embeddings
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embedding = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
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# Vector store
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vector_store = PineconeVectorStore(index=index, embedding=embedding)
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# Crear diccionario de archivos en memoria
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archivos_en_memoria = {file.name: BytesIO(file.read()) for file in uploaded_files}
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# Procesar archivos y crear documentos
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documents = []
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for filename, buffer in archivos_en_memoria.items():
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buffer.seek(0)
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reader = PdfReader(buffer)
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text = ""
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for page in reader.pages:
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page_text = page.extract_text()
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if page_text:
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text += page_text + "\n"
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doc = Document(
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page_content=text.strip(),
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metadata={"filename": filename, "titulo_puesto": titulo_puesto}
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)
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documents.append(doc)
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# Subir documentos a Pinecone
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vector_store.add_documents(documents)
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# Búsqueda por similitud
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results = vector_store.similarity_search_with_score(descripcion_puesto, k=len(documents))
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st.success(f"{len(results)} CV(s) procesado(s).")
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# Mostrar resultados
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for doc, score in results:
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st.markdown("---")
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col1, col2 = st.columns([2, 1])
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filename = doc.metadata.get("filename")
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file_buffer = archivos_en_memoria.get(filename)
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with col1:
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if file_buffer:
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file_buffer.seek(0)
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base64_pdf = base64.b64encode(file_buffer.read()).decode("utf-8")
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pdf_display = f"""
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<iframe src="data:application/pdf;base64,{base64_pdf}" width="100%" height="500" type="application/pdf"></iframe>
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"""
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st.markdown("#### 👀 Visualizador del PDF", unsafe_allow_html=True)
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st.markdown(pdf_display, unsafe_allow_html=True)
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else:
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st.warning(f"No se encontró el archivo `{filename}` en memoria.")
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with col2:
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st.markdown("#### 📄 Información del CV")
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st.write(f"**Nombre del archivo:** `{filename}`")
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st.write(f"**Score de similitud:** `{score * 100:.2f}%`")
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# Eliminar todos los vectores del índice (vaciar)
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index.delete(delete_all=True)
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st.success("🧹 Todos los vectores han sido eliminados del índice de Pinecone.")
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requirements.txt
ADDED
Binary file (4.04 kB). View file
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