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Configuration error
| readme_content = """--- | |
| title: DataSynthis ML JobTask | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 4.7.1 | |
| app_file: app.py | |
| pinned: false | |
| --- | |
| # Stock Price Forecasting | |
| DataSynthis ML Engineer Intern Job Task SET-B | |
| ## Overview | |
| Time series forecasting for stock prices using ARIMA and LSTM models. | |
| ## Models | |
| - ARIMA: Statistical approach | |
| - LSTM: Deep learning approach | |
| ## Dataset | |
| Google (GOOGL) stock prices from 2018-2025 via Yahoo Finance | |
| ## Performance | |
| ARIMA achieved RMSE of $3.48 vs LSTM's $30.88 | |
| ## Usage | |
| Enter stock ticker and select forecast horizon to generate predictions. | |
| with open('README.md', 'w') as f: | |
| f.write(readme_content) | |