Duplicate from TuanScientist/BTCforecasting

.gitattributes

@@ -0,0 +1,35 @@
+*.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

README.md

@@ -0,0 +1,14 @@
+---
+title: BTCforecasting
+emoji: 🦀
+colorFrom: red
+colorTo: blue
+sdk: gradio
+sdk_version: 3.35.2
+app_file: app.py
+pinned: false
+license: openrail
+duplicated_from: TuanScientist/BTCforecasting
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,55 @@
+import gradio as gr
+import pandas as pd
+from neuralprophet import NeuralProphet, set_log_level
+import warnings
+
+set_log_level("ERROR")
+warnings.filterwarnings("ignore", category=UserWarning)
+
+url = "Bitcoin Historical Data - Investing.com.csv"
+df = pd.read_csv(url)
+df = df[["Date", "Price"]]
+df = df.rename(columns={"Date": "ds", "Price": "y"})
+df.fillna(method='ffill', inplace=True)
+df.dropna(inplace=True)
+
+m = NeuralProphet(n_forecasts=3,
+    n_lags=36, 
+    changepoints_range=1, num_hidden_layers=6, daily_seasonality= False, weekly_seasonality = False, yearly_seasonality = True, ar_reg=True,
+    n_changepoints=100, trend_reg_threshold=True, d_hidden=9, global_normalization=True, global_time_normalization=True, seasonality_reg=1, unknown_data_normalization=True,
+    seasonality_mode="multiplicative", drop_missing=True,
+    learning_rate=0.0314
+)
+
+m.fit(df, freq='M')
+
+future = m.make_future_dataframe(df, periods=3, n_historic_predictions=True)
+forecast = m.predict(future)
+
+def predict_vn_index(option=None):
+    fig1 = m.plot(forecast)
+    fig1_path = "forecast_plot1.png"
+    fig1.savefig(fig1_path)
+
+    # Add code to generate the second image (fig2)
+    fig2 = m.plot_latest_forecast(forecast)  # Replace this line with code to generate the second image
+    fig2_path = "forecast_plot2.png"
+    fig2.savefig(fig2_path)
+    description = "Dự đoán được thực hiện bởi thuật toán AI học sâu (Deep Learning), và học tăng cường dữ liệu bởi đội ngũ AI Consultant. Dữ liệu được cập nhật mới sau 17h của ngày giao dịch."
+    disclaimer = "Quý khách chỉ xem đây là tham khảo, công ty không chịu bất cứ trách nhiệm nào về tình trạng đầu tư của quý khách."
+    
+
+    return fig1_path, fig2_path, description, disclaimer
+
+
+if __name__ == "__main__":
+    dropdown = gr.inputs.Dropdown(["BTC"], label="Choose an option", default="BTC")
+    outputs = [
+        gr.outputs.Image(type="filepath", label="Lịch sử BTC và dự đoán"),
+        gr.outputs.Image(type="filepath", label="Dự đoán BTC cho 90 ngày tới"),
+        gr.outputs.Textbox(label="Mô tả"),
+        gr.outputs.Textbox(label="Disclaimer")
+    ]
+    interface = gr.Interface(fn=predict_vn_index, inputs=dropdown, outputs=outputs, title="Dự báo BTC 90 ngày tới")
+    interface.launch()
+

requirements.txt

@@ -0,0 +1,7 @@
+gradio==3.32.0
+pandas==1.5.3
+neuralprophet==0.5.1
+matplotlib==3.7.1
+holidays==0.11.3.1
+torch==1.13.1
+pytorch-lightning==1.7.4