Add Hugging Face Spaces configuration: requirements.txt and Spaces metadata in README.md

README.md

@@ -1,3 +1,33 @@
+---
+title: TempoPFN Forecasting Terminal
+emoji: 🌖
+colorFrom: green
+colorTo: purple
+sdk: gradio
+sdk_version: 5.49.1
+app_file: app.py
+pinned: false
+python_version: '3.12'
+license: apache-2.0
+---
+
+# TempoPFN: Zero-Shot Forecasting & Analysis Terminal
+
+## 🚀 What is this Space?
+
+**Interactive TempoPFN Application** - A comprehensive zero-shot time series forecasting platform featuring:
+
+### 📊 4 Main Features:
+1. **Financial Markets** - Stock analysis, technical indicators, volatility tracking with real market data
+2. **Research & Analysis** - Synthetic data forecasting with advanced statistical analysis
+3. **Synthetic Data Generation** - 12+ generator types with customizable parameters
+4. **GIFT Evaluation** - Standardized benchmark framework for model evaluation
+
+### ✨ Built on TempoPFN
+This application is powered by [TempoPFN](https://huggingface.co/AutoML-org/TempoPFN), a state-of-the-art time series foundation model pretrained entirely on synthetic data. It delivers top-tier zero-shot forecasting accuracy while remaining fully reproducible.
+
+---
+
 # TempoPFN: Synthetic Pre-Training of Linear RNNs for Zero-Shot Time Series Forecasting
 
 [![preprint](https://img.shields.io/static/v1?label=Paper&message=2509.26468&color=B31B1B&logo=arXiv)](https://arxiv.org/abs/2510.25502) [![GIFT-Eval](https://img.shields.io/badge/%F0%9F%8F%86%20GIFT--Eval-Leaderboard-0078D4)](https://huggingface.co/spaces/Salesforce/GIFT-Eval) [![huggingface](https://img.shields.io/badge/%F0%9F%A4%97%20HF-Model_Repo-FFD21E)](https://huggingface.co/AutoML-org/TempoPFN) [![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-green.svg)](https://github.com/automl/TempoPFN/blob/main/LICENSE)

requirements.txt

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+gradio>=5.49.1
+numpy>=1.21.0
+pandas>=1.3.0
+torch>=2.1.0
+huggingface-hub>=0.20.0
+yfinance>=0.2.0
+pandas-ta>=0.3.14b0
+plotly>=5.0.0
+scipy>=1.7.0
+scikit-learn>=1.0.0
+statsmodels>=0.13.0
+datasets>=2.0.0
+linear-operator>=0.5.0
+gluonts>=0.15.0
+tqdm>=4.62.0
+requests>=2.25.0
+python-dateutil>=2.8.0
+pytz>=2021.1
+PyYAML>=5.4.1