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.env

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+PORT=8000
+HOST=0.0.0.0
+MODEL_PATH=../chronos-t5-tiny
+MODEL_SOURCE=local
+# Tambahkan URL Vercel Anda di bawah ini
+CORS_ORIGINS=["http://localhost:3000", "https://chronos-forecast-dashboard.vercel.app"]

.env.example

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+PORT=8000
+HOST=0.0.0.0
+MODEL_ID=amazon/chronos-t5-tiny
+MODEL_PATH=./chronos-t5-tiny
+MODEL_SOURCE=local
+CORS_ORIGINS=["http://localhost:3000"]

.gitignore

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+__pycache__/
+.venv/
+.env
+*.pyc
+.ipynb_checkpoints/
+data/
+outputs/
+model_cache/

Dockerfile

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+# Use Python 3.10 as base image
+FROM python:3.10-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    software-properties-common \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements and install dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application code
+COPY . .
+
+# Expose the port (Hugging Face Spaces uses 7860 by default)
+EXPOSE 7860
+
+# Command to run the application
+# We use 0.0.0.0 to bind to all interfaces
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

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----
-title: Chronos Predict Api
-emoji: 🐢
-colorFrom: yellow
-colorTo: yellow
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Backend - Amazon Chronos Forecasting
+
+## Setup & Run
+
+1. **Virtual Environment**
+   ```bash
+   py -m venv .venv
+   .venv\Scripts\activate
+   ```
+
+2. **Install Dependencies**
+   ```bash
+   py -m pip install -r requirements.txt
+   ```
+
+3. **Environment Setup**
+   Copy `.env.example` to `.env` and adjust if needed.
+
+4. **Run Server**
+   ```bash
+   uvicorn app.main:app --reload
+   ```
+
+## Endpoints
+- `GET /health`: Health check.
+- `POST /api/forecast`: Main forecasting endpoint.

requirements.txt

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+fastapi
+uvicorn
+pydantic
+pydantic-settings
+pandas
+torch
+transformers
+accelerate
+chronos-forecasting
+python-dotenv
+python-multipart
+cors