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### 該当のソースコード
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```python
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import streamlit as st
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import numpy as np
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import pandas as pd
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import sklearn
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from sklearn.ensemble import RandomForestRegressor
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from sklearn.metrics import mean_squared_error
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st.title("応募用紙に対する応募数を予測する")
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#回帰モデルの作成
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#データの読み込み
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train_y = pd.read_csv("train_y.csv", encoding="utf-8")
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train_X = pd.read_csv("train_x.csv", encoding="utf-8")
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#train_y["No."]をdropする
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train_y = train_y.drop(["No."], axis=1)
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#train_xのデータ整形（空白だけ・不要？なカラムの削除）
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train_X = train_X.dropna(axis=1, how='all')
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train_X = train_X.fillna(0)
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train_X = train_X.drop(["掲載期間 開始日", "掲載期間 終了日"], axis=1)
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#train_yとtrain_Xを連結して学習データとして利用する
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train = pd.concat([train_y.reset_index(drop=True), train_X.reset_index(drop=True)], axis=1)
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#データ変換と分割
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y = train["応募数 合計"]
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X = train.drop(["No.", "応募数 合計"], axis=1)
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y_array = np.array(y)
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X_array = np.array(X)
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#文章のデータ整形が難しかったので、文章のカラムを一括に学習データから外します。
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X_array = X.select_dtypes(exclude="object")
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from sklearn.model_selection import train_test_split
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X_train, X_test, y_train, y_test = train_test_split(X_array, y_array, test_size=0.4, random_state=0)
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#回帰モデル作成
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rfr = RandomForestRegressor(random_state=0)
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rfr.fit(X_train, y_train)
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y_pred = rfr.predict(X_test)
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# print(y_pred.shape)
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mse = np.sqrt(mean_squared_error(y_pred, y_test))
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st.write(f"Mean Squared Error:{mse:.3}")
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#ファイルがアップロードされるまでの処理を書く
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uploaded_file = st.file_uploader("Choose a file", type=["csv"])
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if uploaded_file is not None:
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test_X = pd.read_csv(uploaded_file).dropna(axis=1, how="all").fillna(0)
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#応募数合計の予測をするためのデータ成形
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test_X = test_X.drop(["掲載期間 開始日", "掲載期間 終了日"], axis=1)
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#文章のデータ整形が難しかったので、文章のカラムを一括に学習データから外します。
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test_X2 = test_X.drop(["No."], axis=1)
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test_X2 = test_X2.select_dtypes(exclude="object")
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#応募数合計の予測・データの予測
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test_pred = rfr.predict(test_X2)
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print(test_pred.shape)
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test_pred = pd.DataFrame(test_pred, columns=["応募数 合計"])
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result = pd.concat([test_X["No."], test_pred], axis=1)
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result = result.reset_index(drop=True)
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st.dataframe(result)
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st.download_button(label = '予測結果をダウンロード', data=result.to_csv(index=False).encode('utf-8'), file_name="result.csv")
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```.gitignore
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```
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```Herokuのログ
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2021-12-29T08:58:33.633044+00:00 app[worker.1]: streamlit run main.py [ARGUMENTS]
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.gitignoreを追加しました！
test
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動かしたいアプリのコードを掲載しました。
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```python
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import streamlit as st
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import numpy as np
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import pandas as pd
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import sklearn
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from sklearn.ensemble import RandomForestRegressor
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from sklearn.metrics import mean_squared_error
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st.title("応募用紙に対する応募数を予測する")
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#回帰モデルの作成
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#データの読み込み
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train_y = pd.read_csv("train_y.csv", encoding="utf-8")
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train_X = pd.read_csv("train_x.csv", encoding="utf-8")
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#train_y["No."]をdropする
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train_y = train_y.drop(["No."], axis=1)
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#train_xのデータ整形（空白だけ・不要？なカラムの削除）
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train_X = train_X.dropna(axis=1, how='all')
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train_X = train_X.fillna(0)
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train_X = train_X.drop(["掲載期間 開始日", "掲載期間 終了日"], axis=1)
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#train_yとtrain_Xを連結して学習データとして利用する
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train = pd.concat([train_y.reset_index(drop=True), train_X.reset_index(drop=True)], axis=1)
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#データ変換と分割
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y = train["応募数 合計"]
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X = train.drop(["No.", "応募数 合計"], axis=1)
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y_array = np.array(y)
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X_array = np.array(X)
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#文章のデータ整形が難しかったので、文章のカラムを一括に学習データから外します。
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X_array = X.select_dtypes(exclude="object")
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from sklearn.model_selection import train_test_split
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X_train, X_test, y_train, y_test = train_test_split(X_array, y_array, test_size=0.4, random_state=0)
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#回帰モデル作成
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rfr = RandomForestRegressor(random_state=0)
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rfr.fit(X_train, y_train)
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y_pred = rfr.predict(X_test)
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# print(y_pred.shape)
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mse = np.sqrt(mean_squared_error(y_pred, y_test))
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st.write(f"Mean Squared Error:{mse:.3}")
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#ファイルがアップロードされるまでの処理を書く
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uploaded_file = st.file_uploader("Choose a file", type=["csv"])
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if uploaded_file is not None:
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test_X = pd.read_csv(uploaded_file).dropna(axis=1, how="all").fillna(0)
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#応募数合計の予測をするためのデータ成形
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test_X = test_X.drop(["掲載期間 開始日", "掲載期間 終了日"], axis=1)
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#文章のデータ整形が難しかったので、文章のカラムを一括に学習データから外します。
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test_X2 = test_X.drop(["No."], axis=1)
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test_X2 = test_X2.select_dtypes(exclude="object")
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#応募数合計の予測・データの予測
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|
155
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test_pred = rfr.predict(test_X2)
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print(test_pred.shape)
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test_pred = pd.DataFrame(test_pred, columns=["応募数 合計"])
|
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|
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163
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result = pd.concat([test_X["No."], test_pred], axis=1)
|
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result = result.reset_index(drop=True)
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st.dataframe(result)
|
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st.download_button(label = '予測結果をダウンロード', data=result.to_csv(index=False).encode('utf-8'), file_name="result.csv")
|
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|
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```
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2021-12-29T08:58:33.633849+00:00 app[worker.1]: train_y = pd.read_csv("train_y.csv", encoding="utf-8")
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2021-12-29T08:58:33.633854+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/util/_decorators.py", line 311, in wrapper
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2021-12-29T08:58:33.633979+00:00 app[worker.1]: return func(*args, **kwargs)
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2021-12-29T08:58:33.633989+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 586, in read_csv
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2021-12-29T08:58:33.634151+00:00 app[worker.1]: return _read(filepath_or_buffer, kwds)
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2021-12-29T08:58:33.634161+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 482, in _read
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2021-12-29T08:58:33.634299+00:00 app[worker.1]: parser = TextFileReader(filepath_or_buffer, **kwds)
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2021-12-29T08:58:33.634309+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 811, in __init__
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2021-12-29T08:58:33.634517+00:00 app[worker.1]: self._engine = self._make_engine(self.engine)
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2021-12-29T08:58:33.634533+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1040, in _make_engine
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2021-12-29T08:58:33.634756+00:00 app[worker.1]: return mapping[engine](self.f, **self.options) # type: ignore[call-arg]
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2021-12-29T08:58:33.634758+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 51, in __init__
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2021-12-29T08:58:33.634832+00:00 app[worker.1]: self._open_handles(src, kwds)
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2021-12-29T08:58:33.634841+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/base_parser.py", line 222, in _open_handles
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2021-12-29T08:58:33.634933+00:00 app[worker.1]: self.handles = get_handle(
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2021-12-29T08:58:33.634943+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/common.py", line 702, in get_handle
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2021-12-29T08:58:33.635145+00:00 app[worker.1]: FileNotFoundError: [Errno 2] No such file or directory: 'train_y.csv'
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2021-12-29T09:11:36.477338+00:00 heroku[worker.1]: State changed from crashed to starting
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2021-12-29T09:11:54.701484+00:00 heroku[worker.1]: Starting process with command `python main.py`
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2021-12-29T09:12:02.838739+00:00 heroku[worker.1]: Process exited with status 1
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2021-12-29T09:12:02.460135+00:00 app[worker.1]: 2021-12-29 09:12:02.459
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2021-12-29T09:12:02.460162+00:00 app[worker.1]: Warning: to view this Streamlit app on a browser, run it with the following
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2021-12-29T09:12:02.461008+00:00 app[worker.1]: train_y = pd.read_csv("train_y.csv", encoding="utf-8")
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2021-12-29T09:12:02.461157+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 586, in read_csv
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2021-12-29T09:12:02.461313+00:00 app[worker.1]: return _read(filepath_or_buffer, kwds)
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2021-12-29T09:12:02.461322+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 482, in _read
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2021-12-29T09:12:02.461506+00:00 app[worker.1]: parser = TextFileReader(filepath_or_buffer, **kwds)
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2021-12-29T09:12:02.463056+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 51, in __init__
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2021-12-29T09:16:50.750172+00:00 heroku[router]: at=error code=H14 desc="No web processes running" method=GET path="/" host=dip-intern-asaitodev.herokuapp.com request_id=1d035980-620b-4c62-aaaf-b16be9ce2c11 fwd="92.202.111.147" dyno= connect= service= status=503 bytes= protocol=https
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2021-12-29T09:16:51.189584+00:00 heroku[router]: at=error code=H14 desc="No web processes running" method=GET path="/favicon.ico" host=dip-intern-asaitodev.herokuapp.com request_id=3e6e253c-7beb-4d7a-a00d-819c15311d4f fwd="92.202.111.147" dyno= connect= service= status=503 bytes= protocol=https
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+
```
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+
### 試したこと
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290
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+
|
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291
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+
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292
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+
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293
|
+
①code=14ということなので↓を記述
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294
|
+
|
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25
295
|
```bash
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296
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27
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-
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29
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2021-12-29T08:58:33.633698+00:00 app[worker.1]: Traceback (most recent call last):
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30
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2021-12-29T08:58:33.633702+00:00 app[worker.1]: File "/app/main.py", line 19, in <module>
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33
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2021-12-29T08:58:33.633849+00:00 app[worker.1]: train_y = pd.read_csv("train_y.csv", encoding="utf-8")
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35
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2021-12-29T08:58:33.633854+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/util/_decorators.py", line 311, in wrapper
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36
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37
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2021-12-29T08:58:33.633979+00:00 app[worker.1]: return func(*args, **kwargs)
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2021-12-29T08:58:33.633989+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 586, in read_csv
|
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40
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-
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41
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2021-12-29T08:58:33.634151+00:00 app[worker.1]: return _read(filepath_or_buffer, kwds)
|
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43
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2021-12-29T08:58:33.634161+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 482, in _read
|
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44
|
-
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45
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2021-12-29T08:58:33.634299+00:00 app[worker.1]: parser = TextFileReader(filepath_or_buffer, **kwds)
|
|
46
|
-
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47
|
-
2021-12-29T08:58:33.634309+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 811, in __init__
|
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48
|
-
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49
|
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2021-12-29T08:58:33.634517+00:00 app[worker.1]: self._engine = self._make_engine(self.engine)
|
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50
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-
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51
|
-
2021-12-29T08:58:33.634533+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1040, in _make_engine
|
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52
|
-
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53
|
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2021-12-29T08:58:33.634756+00:00 app[worker.1]: return mapping[engine](self.f, **self.options) # type: ignore[call-arg]
|
|
54
|
-
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55
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2021-12-29T08:58:33.634758+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 51, in __init__
|
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56
|
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57
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2021-12-29T08:58:33.634832+00:00 app[worker.1]: self._open_handles(src, kwds)
|
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58
|
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59
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2021-12-29T08:58:33.634841+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/base_parser.py", line 222, in _open_handles
|
|
60
|
-
|
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61
|
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2021-12-29T08:58:33.634933+00:00 app[worker.1]: self.handles = get_handle(
|
|
62
|
-
|
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63
|
-
2021-12-29T08:58:33.634943+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/common.py", line 702, in get_handle
|
|
64
|
-
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|
65
|
-
2021-12-29T08:58:33.635111+00:00 app[worker.1]: handle = open(
|
|
66
|
-
|
|
67
|
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2021-12-29T08:58:33.635145+00:00 app[worker.1]: FileNotFoundError: [Errno 2] No such file or directory: 'train_y.csv'
|
|
68
|
-
|
|
69
|
-
2021-12-29T09:11:36.477338+00:00 heroku[worker.1]: State changed from crashed to starting
|
|
70
|
-
|
|
71
|
-
2021-12-29T09:11:54.701484+00:00 heroku[worker.1]: Starting process with command `python main.py`
|
|
72
|
-
|
|
73
|
-
2021-12-29T09:11:55.332453+00:00 heroku[worker.1]: State changed from starting to up
|
|
74
|
-
|
|
75
|
-
2021-12-29T09:12:02.838739+00:00 heroku[worker.1]: Process exited with status 1
|
|
76
|
-
|
|
77
|
-
2021-12-29T09:12:02.460135+00:00 app[worker.1]: 2021-12-29 09:12:02.459
|
|
78
|
-
|
|
79
|
-
2021-12-29T09:12:02.460162+00:00 app[worker.1]: Warning: to view this Streamlit app on a browser, run it with the following
|
|
80
|
-
|
|
81
|
-
2021-12-29T09:12:02.460163+00:00 app[worker.1]: command:
|
|
82
|
-
|
|
83
|
-
2021-12-29T09:12:02.460163+00:00 app[worker.1]:
|
|
84
|
-
|
|
85
|
-
2021-12-29T09:12:02.460163+00:00 app[worker.1]: streamlit run main.py [ARGUMENTS]
|
|
86
|
-
|
|
87
|
-
2021-12-29T09:12:02.460876+00:00 app[worker.1]: Traceback (most recent call last):
|
|
88
|
-
|
|
89
|
-
2021-12-29T09:12:02.460880+00:00 app[worker.1]: File "/app/main.py", line 19, in <module>
|
|
90
|
-
|
|
91
|
-
2021-12-29T09:12:02.461008+00:00 app[worker.1]: train_y = pd.read_csv("train_y.csv", encoding="utf-8")
|
|
92
|
-
|
|
93
|
-
2021-12-29T09:12:02.461021+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/util/_decorators.py", line 311, in wrapper
|
|
94
|
-
|
|
95
|
-
2021-12-29T09:12:02.461149+00:00 app[worker.1]: return func(*args, **kwargs)
|
|
96
|
-
|
|
97
|
-
2021-12-29T09:12:02.461157+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 586, in read_csv
|
|
98
|
-
|
|
99
|
-
2021-12-29T09:12:02.461313+00:00 app[worker.1]: return _read(filepath_or_buffer, kwds)
|
|
100
|
-
|
|
101
|
-
2021-12-29T09:12:02.461322+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 482, in _read
|
|
102
|
-
|
|
103
|
-
2021-12-29T09:12:02.461506+00:00 app[worker.1]: parser = TextFileReader(filepath_or_buffer, **kwds)
|
|
104
|
-
|
|
105
|
-
2021-12-29T09:12:02.461508+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 811, in __init__
|
|
106
|
-
|
|
107
|
-
2021-12-29T09:12:02.463039+00:00 app[worker.1]: self._engine = self._make_engine(self.engine)
|
|
108
|
-
|
|
109
|
-
2021-12-29T09:12:02.463051+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1040, in _make_engine
|
|
110
|
-
|
|
111
|
-
2021-12-29T09:12:02.463055+00:00 app[worker.1]: return mapping[engine](self.f, **self.options) # type: ignore[call-arg]
|
|
112
|
-
|
|
113
|
-
2021-12-29T09:12:02.463056+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 51, in __init__
|
|
114
|
-
|
|
115
|
-
2021-12-29T09:12:02.463056+00:00 app[worker.1]: self._open_handles(src, kwds)
|
|
116
|
-
|
|
117
|
-
2021-12-29T09:12:02.463056+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/parsers/base_parser.py", line 222, in _open_handles
|
|
118
|
-
|
|
119
|
-
2021-12-29T09:12:02.463057+00:00 app[worker.1]: self.handles = get_handle(
|
|
120
|
-
|
|
121
|
-
2021-12-29T09:12:02.463057+00:00 app[worker.1]: File "/app/.heroku/python/lib/python3.9/site-packages/pandas/io/common.py", line 702, in get_handle
|
|
122
|
-
|
|
123
|
-
2021-12-29T09:12:02.463058+00:00 app[worker.1]: handle = open(
|
|
124
|
-
|
|
125
|
-
2021-12-29T09:12:02.463058+00:00 app[worker.1]: FileNotFoundError: [Errno 2] No such file or directory: 'train_y.csv'
|
|
126
|
-
|
|
127
|
-
2021-12-29T09:12:02.901159+00:00 heroku[worker.1]: State changed from up to crashed
|
|
128
|
-
|
|
129
|
-
2021-12-29T09:16:50.750172+00:00 heroku[router]: at=error code=H14 desc="No web processes running" method=GET path="/" host=dip-intern-asaitodev.herokuapp.com request_id=1d035980-620b-4c62-aaaf-b16be9ce2c11 fwd="92.202.111.147" dyno= connect= service= status=503 bytes= protocol=https
|
|
130
|
-
|
|
131
|
-
2021-12-29T09:16:51.189584+00:00 heroku[router]: at=error code=H14 desc="No web processes running" method=GET path="/favicon.ico" host=dip-intern-asaitodev.herokuapp.com request_id=3e6e253c-7beb-4d7a-a00d-819c15311d4f fwd="92.202.111.147" dyno= connect= service= status=503 bytes= protocol=https
|
|
297
|
+
$ heroku ps:scale web=1
|
|
132
298
|
|
|
133
299
|
```
|
|
134
300
|
|
|
135
301
|
|
|
136
302
|
|
|
137
|
-
### 試したこと
|
|
138
|
-
|
|
139
|
-
|
|
140
|
-
|
|
141
|
-
|
|
303
|
+
②Procfileを以下に変更
|
|
142
|
-
|
|
304
|
+
|
|
143
|
-
```
|
|
305
|
+
```Procfile
|
|
144
|
-
|
|
306
|
+
|
|
145
|
-
|
|
307
|
+
web: python main.py
|
|
146
308
|
|
|
147
309
|
```
|
|
148
310
|
|
|
149
311
|
|
|
150
312
|
|
|
151
|
-
②Procfileを以下に変更
|
|
152
|
-
|
|
153
|
-
```Procfile
|
|
154
|
-
|
|
155
|
-
web: python main.py
|
|
156
|
-
|
|
157
|
-
```
|
|
158
|
-
|
|
159
|
-
|
|
160
|
-
|
|
161
313
|
③ Herokuの公開設定がONになっているかの確認（ONになっていました）
|
|
162
314
|
|
|
163
315
|
|