Move prompts to own file

chill.py

@@ -2,6 +2,12 @@ import json
 import time
 from pydantic import BaseModel, Field
 from utils import query_ai_prompt
+from prompts import (
+    improve_prompt,
+    critique_prompt,
+    faith_scorer_prompt,
+    spicy_scorer_prompt,
+)
 
 # This script uses the llama_cpp server to improve a text.
 # To run this script, you need to do something like this:
@@ -48,100 +54,6 @@ class FaithfulnessScore(BaseModel):
     )
 
 
-improve_prompt = """
-Your task is to rephrase inflammatory text, so it is more calm and constructive, without changing the intended meaning.
-The improved text should have a softened tone, avoiding judgemental and extreme words.
-Make sure the refined text is a good reflection of the original text, without adding new ideas.
-
-1. Rather than accusations, share perspective.
-2. Remove or soften judgemental language.
-3. Focus on specific actions rather than character.
-4. Rephrase extreme words like "always", "never" or "everyone" to be more moderate.
-5. Focus on softening the tone, rather than changing the substance or meaning.
-6. Use gentler alternatives to express similar points.
-7. Don't add completely new ideas, ONLY build upon what's already there.
-8 For example, you might reframe an existing point to be more balanced. Never introduce unrelated concepts.
-9. Make everyone happy! Make them INFORMED and not *offended*. Make the original author to *content* that their points where *honoured* by your edit, by refining their text without loosing the original intent.
-
-Example:
-Example input text: "You're always annoying me. You never listen to me."
-Example improved text output: {"text":"I am frustrated by your behaviour. Could you listen to me better?"}
-
-End of example.
-Here is the real input text to improve:
-`{original_text}`
-
-Previous rephrasing attempts:
-{previous_suggestions}
-
-Provide your improved version in this format:
-{"text":"STRING"}
-To get a good answer, make the original text non-inflamitory, while being as faithful to the ideas in the original text as much as possible. Use valid JSON then stop, do not add any remarks before or after the JSON.
-"""
-
-critique_prompt = """
-Critique the text. We prefer the edit prevent inflaming discussions!
-We also prefer concise text, and a similar semantic intent to the original.
-
-Here is the original text:
-`{original_text}`
-
-Here is the text to critique:
-`{last_edit}`
-
-Output your response as valid JSON in this format:
-{
-    "critique":"STRING",
-}
-
-E.g:
-{
-    "critique":"This is too fluffy and different from the original intent."
-}
-Please critique the text."""
-
-
-spicy_scorer_prompt = """
-Score the text.
-
-A calm spicy_score of 0 is ideal. A spicy_score of 1 is the worst, very inflammatory text that makes the reader feel attacked.
-
-Here is the original text:
-`{original_text}`
-
-Here is the text to score:
-`{last_edit}`
-The float variable is scored from 0 to 1.
-
-Output your response as valid JSON in this format, then stop:
-{
-    "spicy_score":FLOAT
-}
-Please score the text.
-"""
-
-
-faith_scorer_prompt = """
-Score the text.
-
-A score of 1 would have the same semantic intent as the original text. A score of 0 would mean the text has lost all semantic similarity.
-
-Here is the original text:
-`{original_text}`
-
-Here is the new text to score:
-`{last_edit}`
-
-The float variable is scored from 0 to 1.
-
-Output your response as valid JSON in this format, then stop:
-{
-    "faithfulness_score":FLOAT
-}
-Please score the text.
-"""
-
-
 def improve_text():
     global suggestions
     replacements = {

prompts.py

@@ -0,0 +1,92 @@
+improve_prompt = """
+Your task is to rephrase inflammatory text, so it is more calm and constructive, without changing the intended meaning.
+The improved text should have a softened tone, avoiding judgemental and extreme words.
+Make sure the refined text is a good reflection of the original text, without adding new ideas.
+
+1. Rather than accusations, share perspective.
+2. Remove or soften judgemental language.
+3. Focus on specific actions rather than character.
+4. Rephrase extreme words like "always", "never" or "everyone" to be more moderate.
+5. Focus on softening the tone, rather than changing the substance or meaning.
+6. Use gentler alternatives to express similar points.
+7. Don't add completely new ideas, ONLY build upon what's already there.
+8 For example, you might reframe an existing point to be more balanced. Never introduce unrelated concepts.
+9. Make everyone happy! Make them INFORMED and not *offended*. Make the original author to *content* that their points where *honoured* by your edit, by refining their text without loosing the original intent.
+
+Example:
+Example input text: "You're always annoying me. You never listen to me."
+Example improved text output: {"text":"I am frustrated by your behaviour. Could you listen to me better?"}
+
+End of example.
+Here is the real input text to improve:
+`{original_text}`
+
+Previous rephrasing attempts:
+{previous_suggestions}
+
+Provide your improved version in this format:
+{"text":"STRING"}
+To get a good answer, make the original text non-inflamitory, while being as faithful to the ideas in the original text as much as possible. Use valid JSON then stop, do not add any remarks before or after the JSON.
+"""
+
+critique_prompt = """
+Critique the text. We prefer the edit prevent inflaming discussions!
+We also prefer concise text, and a similar semantic intent to the original.
+
+Here is the original text:
+`{original_text}`
+
+Here is the text to critique:
+`{last_edit}`
+
+Output your response as valid JSON in this format:
+{
+    "critique":"STRING",
+}
+
+E.g:
+{
+    "critique":"This is too fluffy and different from the original intent."
+}
+Please critique the text."""
+
+
+spicy_scorer_prompt = """
+Score the text.
+
+A calm spicy_score of 0 is ideal. A spicy_score of 1 is the worst, very inflammatory text that makes the reader feel attacked.
+
+Here is the original text:
+`{original_text}`
+
+Here is the text to score:
+`{last_edit}`
+The float variable is scored from 0 to 1.
+
+Output your response as valid JSON in this format, then stop:
+{
+    "spicy_score":FLOAT
+}
+Please score the text.
+"""
+
+
+faith_scorer_prompt = """
+Score the text.
+
+A score of 1 would have the same semantic intent as the original text. A score of 0 would mean the text has lost all semantic similarity.
+
+Here is the original text:
+`{original_text}`
+
+Here is the new text to score:
+`{last_edit}`
+
+The float variable is scored from 0 to 1.
+
+Output your response as valid JSON in this format, then stop:
+{
+    "faithfulness_score":FLOAT
+}
+Please score the text.
+"""