feat: all print green

book_maker/translator/caiyun_translator.py

@@ -1,6 +1,8 @@
 import json
+import re
 
 import requests
+from rich import print
 
 from .base_translator import Base
 
@@ -42,5 +44,5 @@ class Caiyun(Base):
             headers=self.headers,
         )
         t_text = json.loads(response.text)["target"]
-        print(t_text)
+        print("[bold green]" + re.sub("\n{3,}", "\n\n", t_text) + "[/bold green]")
         return t_text

book_maker/translator/chatgpt_account_translator.py

@@ -1,4 +1,4 @@
-import requests
+import re
 from revChatGPT.V1 import Chatbot
 from rich import print
 
@@ -24,10 +24,10 @@ class ChatGPTAccount(Base):
             }
         )
         prompt = f"Please help me to translate,`{text}` to {self.language}"
-        response = ""
+        t_text = ""
 
         for data in chatbot.ask(prompt):
-            response = data["message"].encode("utf8").decode()
+            t_text = data["message"].encode("utf8").decode()
 
-        print(response)
+        print("[bold green]" + re.sub("\n{3,}", "\n\n", t_text) + "[/bold green]")
-        return response
+        return t_text

book_maker/translator/deepl_translator.py

@@ -2,10 +2,12 @@ import json
 import time
 
 import requests
+import re
 
 from book_maker.utils import LANGUAGES, TO_LANGUAGE_CODE
 
 from .base_translator import Base
+from rich import print
 
 
 class DeepL(Base):
@@ -83,5 +85,5 @@ class DeepL(Base):
                 headers=self.headers,
             )
         t_text = response.json().get("text", "")
-        print(t_text)
+        print("[bold green]" + re.sub("\n{3,}", "\n\n", t_text) + "[/bold green]")
         return t_text

book_maker/translator/google_translator.py

@@ -1,4 +1,7 @@
+import re
 import requests
+from rich import print
+
 
 from .base_translator import Base
 
@@ -34,5 +37,5 @@ class Google(Base):
         t_text = "".join(
             [sentence.get("trans", "") for sentence in r.json()["sentences"]],
         )
-        print(t_text)
+        print("[bold green]" + re.sub("\n{3,}", "\n\n", t_text) + "[/bold green]")
         return t_text

book_maker/translator/gpt3_translator.py

@@ -1,3 +1,4 @@
+import re
 import requests
 from rich import print
 
@@ -45,5 +46,5 @@ class GPT3(Base):
         if not r.ok:
             return text
         t_text = r.json().get("choices")[0].get("text", "").strip()
-        print(t_text)
+        print("[bold green]" + re.sub("\n{3,}", "\n\n", t_text) + "[/bold green]")
         return t_text