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.gitattributes

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-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
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-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
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-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
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-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
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-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+Job[[:space:]]Application[[:space:]]Task_[[:space:]]Product[[:space:]]Builder[[:space:]](1).pdf filter=lfs diff=lfs merge=lfs -text

.gitignore

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+venv_new/
+.venv/
+__pycache__/
+*.pyc
+.DS_Store
+.env

Dockerfile

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-FROM python:3.13.5-slim
-
-WORKDIR /app
-
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    curl \
-    git \
-    && rm -rf /var/lib/apt/lists/*
-
-COPY requirements.txt ./
-COPY src/ ./src/
-
-RUN pip3 install -r requirements.txt
-
-EXPOSE 8501
-
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
-
-ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+<<<<<<< HEAD
+FROM python:3.12-slim
+
+WORKDIR /app
+
+# Copy project files
+COPY . /app
+
+# Install build deps (kept minimal) and pip packages
+RUN apt-get update && apt-get install -y --no-install-recommends build-essential git && rm -rf /var/lib/apt/lists/*
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Expose Streamlit port
+EXPOSE 8501
+
+# Start the Streamlit app
+CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+FROM python:3.12-slim
+
+WORKDIR /app
+
+# Copy code
+COPY . /app
+
+# Install dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+EXPOSE 8501
+
+CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+=======
+FROM python:3.13.5-slim
+
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt ./
+COPY src/ ./src/
+
+RUN pip3 install -r requirements.txt
+
+EXPOSE 8501
+
+HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
+
+ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+>>>>>>> hf/main

Job Application Task_ Product Builder (1).pdf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ac2bad1c8b099be9eb5552507b2aeb6c8aceb1257296b7a6c5428bb0fab27210
+size 107815

README.md

@@ -1,19 +1,49 @@
----
-title: AI Spending Analyzer
-emoji: 🚀
-colorFrom: red
-colorTo: red
-sdk: docker
-app_port: 8501
-tags:
-- streamlit
-pinned: false
-short_description: Streamlit template space
----
-
-# Welcome to Streamlit!
-
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
-
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+<<<<<<< HEAD
+AI Spending Analyser — Hugging Face Spaces ready
+
+This repo contains a Streamlit app that analyses synthetic spending data and provides a small local LLM-powered summary by default.
+
+Key points for deployment on Hugging Face Spaces
+- The app entrypoint is `app.py` at the repository root. Spaces will run `streamlit run app.py`.
+- Dependencies are listed in `requirements.txt` at the repo root. They include `transformers` and `torch` so a small local model can be used.
+ - Dependencies are listed in `requirements.txt` at the repo root. To keep builds fast on Spaces, `torch` has been removed; the app uses a small local model (`distilgpt2`) by default.
+- Default AI engine: `HuggingFace` (local). The app attempts to load `distilgpt2` by default — this is free and runs on CPU.
+- OpenAI: available as a sidebar option but shows "Coming soon" in the UI because this project avoids paid APIs by default.
+
+Environment variables you can set in the Space (optional)
+- `HF_LOCAL_MODEL` — change the local model name (e.g., `distilgpt2`, `gpt2`, or another HF Hub model compatible with causal LM inference).
+
+Secrets (add before running remote HF inference)
+- Add a secret named `streamlit` in your Space Settings → Secrets and set its value to your new Hugging Face token.
+- Alternatively set `HF_TOKEN_NAME` to the secret key name you used.
+
+How to deploy
+1. Push this repository to a git remote.
+2. Create a new Hugging Face Space (Streamlit) and point it to this repo.
+3. No API keys are required for the default mode. If you later enable cloud inference, add the appropriate secrets.
+
+Notes
+- Model download happens on first run and may take a moment.
+- If build times on Spaces are long because of `torch`, consider switching to a smaller model or using CPU-optimized wheels.
+ - If build times on Spaces are long because of heavy dependencies, remove them from `requirements.txt` (we removed `torch` to speed builds).
+=======
+---
+title: AI Spending Analyzer
+emoji: 🚀
+colorFrom: red
+colorTo: red
+sdk: docker
+app_port: 8501
+tags:
+- streamlit
+pinned: false
+short_description: Streamlit template space
+---
+
+# Welcome to Streamlit!
+
+Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
+
+If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
+forums](https://discuss.streamlit.io).
+>>>>>>> hf/main

app.py

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+"""
+Top-level Streamlit entrypoint for Hugging Face Spaces / simple hosting.
+
+This just imports and runs the app living in the `ai_spending_analyser` package so
+you can keep the app code in a subfolder while providing the expected root-level
+`app.py` that platforms (including Hugging Face Spaces) look for.
+"""
+from ai_spending_analyser import app as ai_app
+
+
+if __name__ == "__main__":
+    # When invoked as `streamlit run app.py` this will start the Streamlit app.
+    ai_app.main()

push_to_space.ps1

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+# Push local repo to Hugging Face Space
+# Usage: set the SPACE_GIT_URL variable below (from your Space page), then run this script in PowerShell.
+
+param(
+    [string]$SpaceGitUrl
+)
+
+if (-not $SpaceGitUrl) {
+    Write-Error "Pass the Space repo URL as the first argument, e.g. .\push_to_space.ps1 https://huggingface.co/spaces/youruser/yourspace.git"
+    exit 1
+}
+
+Write-Host "Adding hf remote (named 'hf') -> $SpaceGitUrl"
+
+git remote remove hf -ErrorAction SilentlyContinue
+git remote add hf $SpaceGitUrl
+
+Write-Host "Pushing main branch to the Space (remote 'hf')..."
+git push hf main -u
+
+if ($LASTEXITCODE -eq 0) {
+    Write-Host "Push complete. Visit your Space page to watch the build logs and runtime." -ForegroundColor Green
+} else {
+    Write-Error "Push failed. Check your network and remote URL, then try again." -ForegroundColor Red
+}

requirements.txt

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-altair
-pandas
-streamlit
+<<<<<<< HEAD
+streamlit>=1.34
+pandas>=2.2
+numpy>=1.26
+plotly>=5.22
+transformers>=4.30
+=======
+altair
+pandas
+streamlit
+>>>>>>> hf/main