Feature/doc#986 - Document best practice on main script

src/main.py

@@ -7,53 +7,10 @@
 import pandas as pd
 from taipy.gui import Gui, notify
 
-text = "Original text"
-
-page = """
-# Getting started with **Taipy**{: .color-primary} **GUI**{: .color-primary}
-
-<|layout|columns=1 1|
-<|
-**My text:** <|{text}|>
-
-**Enter a word:**
-<|{text}|input|>
-<|Analyze|button|on_action=local_callback|>
-|>
-
-
-<|Table|expandable|
-<|{dataframe}|table|width=100%|number_format=%.2f|>
-|>
-|>
-
-<|layout|columns=1 1 1|
-## Positive <|{np.mean(dataframe['Score Pos'])}|text|format=%.2f|raw|>
-
-## Neutral <|{np.mean(dataframe['Score Neu'])}|text|format=%.2f|raw|>
-
-## Negative <|{np.mean(dataframe['Score Neg'])}|text|format=%.2f|raw|>
-|>
-
-<|{dataframe}|chart|type=bar|x=Text|y[1]=Score Pos|y[2]=Score Neu|y[3]=Score Neg|y[4]=Overall|color[1]=green|color[2]=grey|color[3]=red|type[4]=line|>
-"""
-
 MODEL = "sbcBI/sentiment_analysis_model"
 tokenizer = AutoTokenizer.from_pretrained(MODEL)
 model = AutoModelForSequenceClassification.from_pretrained(MODEL)
 
-dataframe = pd.DataFrame(
-    {
-        "Text": [""],
-        "Score Pos": [0.33],
-        "Score Neu": [0.33],
-        "Score Neg": [0.33],
-        "Overall": [0],
-    }
-)
-
-dataframe2 = dataframe.copy()
-
 
 def analyze_text(input_text: str) -> dict:
     """
@@ -94,25 +51,6 @@ def local_callback(state) -> None:
     state.text = ""
 
 
-path = ""
-treatment = 0
-
-page_file = """
-<|{path}|file_selector|extensions=.txt|label=Upload .txt file|on_action=analyze_file|> <|{f'Downloading {treatment}%...'}|>
-
-<br/>
-
-<|Table|expandable|
-<|{dataframe2}|table|width=100%|number_format=%.2f|>
-|>
-
-<br/>
-
-<|{dataframe2}|chart|type=bar|x=Text|y[1]=Score Pos|y[2]=Score Neu|y[3]=Score Neg|y[4]=Overall|color[1]=green|color[2]=grey|color[3]=red|type[4]=line|height=600px|>
-
-"""
-
-
 def analyze_file(state) -> None:
     """
     Analyse the lines in a text file
@@ -138,11 +76,71 @@ def analyze_file(state) -> None:
     state.path = None
 
 
-pages = {
-    "/": "<|toggle|theme|>\n<center>\n<|navbar|>\n</center>",
-    "line": page,
-    "text": page_file,
-}
+if __name__ == "__main__":
+    text = "Original text"
 
+    page = """
+# Getting started with **Taipy**{: .color-primary} **GUI**{: .color-primary}
+
+<|layout|columns=1 1|
+<|
+**My text:** <|{text}|>
+
+**Enter a word:**
+<|{text}|input|>
+<|Analyze|button|on_action=local_callback|>
+|>
+
+
+<|Table|expandable|
+<|{dataframe}|table|width=100%|number_format=%.2f|>
+|>
+|>
+
+<|layout|columns=1 1 1|
+## Positive <|{np.mean(dataframe['Score Pos'])}|text|format=%.2f|raw|>
+
+## Neutral <|{np.mean(dataframe['Score Neu'])}|text|format=%.2f|raw|>
+
+## Negative <|{np.mean(dataframe['Score Neg'])}|text|format=%.2f|raw|>
+|>
+
+<|{dataframe}|chart|type=bar|x=Text|y[1]=Score Pos|y[2]=Score Neu|y[3]=Score Neg|y[4]=Overall|color[1]=green|color[2]=grey|color[3]=red|type[4]=line|>
+    """
+
+    dataframe = pd.DataFrame(
+        {
+            "Text": [""],
+            "Score Pos": [0.33],
+            "Score Neu": [0.33],
+            "Score Neg": [0.33],
+            "Overall": [0],
+        }
+    )
+
+    dataframe2 = dataframe.copy()
+
+    path = ""
+    treatment = 0
+
+    page_file = """
+<|{path}|file_selector|extensions=.txt|label=Upload .txt file|on_action=analyze_file|> <|{f'Downloading {treatment}%...'}|>
+
+<br/>
+
+<|Table|expandable|
+<|{dataframe2}|table|width=100%|number_format=%.2f|>
+|>
+
+<br/>
+
+<|{dataframe2}|chart|type=bar|x=Text|y[1]=Score Pos|y[2]=Score Neu|y[3]=Score Neg|y[4]=Overall|color[1]=green|color[2]=grey|color[3]=red|type[4]=line|height=600px|>
+    """
+
+    pages = {
+        "/": "<|toggle|theme|>\n<center>\n<|navbar|>\n</center>",
+        "line": page,
+        "text": page_file,
+    }
 
-Gui(pages=pages).run(title="Sentiment Analysis")
+    Gui(pages=pages).run(title="Sentiment Analysis")