update readme

Dockerfile

@@ -1,37 +0,0 @@
-FROM python:3.10-slim
-
-# System dependencies for newspaper3k (lxml parsing)
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends \
-    build-essential \
-    libxml2-dev \
-    libxslt1-dev \
-    libjpeg-dev \
-    zlib1g-dev \
-    && rm -rf /var/lib/apt/lists/*
-
-# Create non-root user (HF Spaces requirement)
-RUN useradd -m -u 1000 user
-USER user
-ENV HOME=/home/user \
-    PATH=/home/user/.local/bin:$PATH
-
-WORKDIR $HOME/app
-
-# Install Python dependencies first (better Docker layer caching)
-COPY --chown=user requirements.txt .
-RUN pip install --no-cache-dir --user -r requirements.txt
-
-# Download NLTK data at build time (not runtime)
-RUN python -c "\
-import nltk; \
-nltk.download('punkt', quiet=True); \
-nltk.download('punkt_tab', quiet=True); \
-nltk.download('stopwords', quiet=True)"
-
-# Copy application code
-COPY --chown=user . .
-
-EXPOSE 7860
-
-CMD ["uvicorn", "dashboard_app.main:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -1,15 +1,4 @@
----
-title: Trend Summarizer AI
-emoji: 📈
-colorFrom: blue
-colorTo: indigo
-sdk: docker
-pinned: false
-short_description: AI-powered industry trend analysis dashboard
----
-
 # Trend Summarizer AI
-A premium web dashboard prototype for automated industry trend scraping, clustering, and AI summarization.
 
 ## Local Development
 1. Install dependencies:

plan.md

@@ -1,36 +0,0 @@
-# Master Plan: Industry Trend Summarization AI
-
-## 1. Deskripsi Proyek
-Proyek ini bertujuan untuk membangun solusi berbasis Artificial Intelligence (AI) yang berfungsi mengumpulkan, mengelompokkan, dan merangkum tren industri dari berbagai sumber publik (FMCG, Retail, Consumer Behavior) secara otomatis menjadi bentuk executive brief guna mendukung pengambilan keputusan strategis.
-
-## 2. Referensi Arsitektur & Ketentuan
-*   **Dokumen Acuan:** `image_9e7f9d.png` dan `image_9e7fa0.png`
-*   **Bahasa Pemrograman Utama:** Python
-*   **Daftar Tools & Library:**
-    | Komponen | Teknologi |
-    | :--- | :--- |
-    | Scraper / Data Collection | Newspaper3k |
-    | Topic Modeling & Clustering | Gensim, Scikit-learn |
-    | NLP Preprocessing | NLTK / Spacy / Sastrawi |
-    | Summarization (Extractive) | TextRank (Gensim / NetworkX) |
-    | Summarization (Generative) | Hugging Face Transformers, OpenAI API (Opsional) |
-    | Dashboard Visualization | Streamlit / Dash / FastAPI + React |
-
-## 3. Garis Besar Struktur Folder Proyek
-├── data/                  # Penyimpanan raw data & clean data
-├── src/
-│   ├── scraper/           # Modul pengumpulan data (Newspaper3k)
-│   ├── preprocessing/     # Modul pembersihan teks
-│   ├── modeling/          # Modul Topic Modeling & Clustering
-│   ├── summarizer/        # Modul AI Summarization (Extractive & Generative)
-│   └── dashboard/         # Kode aplikasi dashboard visualisasi
-├── evaluation/            # Script untuk pengujian ROUGE Score
-├── plans/                 # File detail tugas (Sub-plans)
-│   ├── 01_data_pipeline.md
-│   ├── 02_ai_modeling.md
-│   └── 03_dashboard_eval.md
-├── requirements.txt
-└── plan.md                # File ini
-
-## 4. Mekanisme Environment Project
-Gunakan WSL dan dan pakai Environment Conda bernama "inference-model".