chore: create prompt.json as separate file for ease of alteration

Author: sean1832

resources/prompt.json

@@ -0,0 +1,42 @@
+[
+  {
+    "type": "recursive",
+    "legacy": true,
+    "prompt": "Provide a detailed and comprehensive summary of the following content in flawless [LANGUAGE], ensuring all key points are covered. Create a markdown heading (###) that encapsulates the core information of the content. Make sure it is answered in [LANGUAGE].",
+    "variables": [
+      {
+        "name": "[LANGUAGE]"
+      }
+    ]
+  },
+  {
+    "type": "recursive",
+    "legacy": false,
+    "prompt": "Write a detailed and comprehensive explanation of the following in perfect [LANGUAGE] with no grammar issues, ensuring all key points are covered. Create a markdown heading (###) that encapsulates the core information:\n\n{text}\n\nStructured markdown summary with heading (###) in fluent [LANGUAGE]:",
+    "variables": [
+      {
+        "name": "[LANGUAGE]"
+      }
+    ]
+  },
+  {
+    "type": "final",
+    "legacy": true,
+    "prompt": "identify headings in the transcript and summarise them into five headings. Use #### headings in markdown. Under headings, summarise at least 3 key points and then provide detail explanation of the concept based on the following text in the way that can be read fluently, make sense and avoid repetition. Make sure to include all information. Write it in beautiful and structured markdown in perfect [LANGUAGE]. ",
+    "variables": [
+      {
+        "name": "[LANGUAGE]"
+      }
+    ]
+  },
+  {
+    "type": "final",
+    "legacy": false,
+    "prompt": "Write a detailed summary of the following in [LANGUAGE]:\n\n{text}\n\nIdentify and summarise them into five headings. Use #### headings in markdown. Under headings, summarize a list of key points that best encapsulate the core information. Structured markdown summary with headings in perfect [LANGUAGE] (####): ",
+    "variables": [
+      {
+        "name": "[LANGUAGE]"
+      }
+    ]
+  }
+]

src/Components/sidebar.py

@@ -3,6 +3,7 @@
 import Modules.file_io as file_io
 from streamlit_toggle import st_toggle_switch
 import Components
+from typing import Any, Dict, List, Tuple, Union
 import json
 
 
@@ -47,7 +48,13 @@ def _legacy(enable: bool, legacy, experimental):
         return experimental
     else:
         return legacy
-
+def _extract_prompt(json_data: List[Dict[str,Union[bool, str]]], target_type: str, target_legacy: bool, language: str = "English") -> str | None:
+    for item in json_data:
+        if item["type"] == target_type and item["legacy"] == target_legacy:
+            prompt = item["prompt"]
+            new_prompt = prompt.replace("[LANGUAGE]", language)
+            return new_prompt
+    return None
 
 def sidebar():
     with st.sidebar:
@@ -77,41 +84,25 @@ def sidebar():
             language_options = ['English', 'Chinese', 'Japanese', 'Korean', 'Spanish', 'French', 'German']
             language_index = language_options.index(_set_config(config_file, "LANGUAGE", 'English'))
             language = st.selectbox('Language', options=language_options, index=language_index)
-            default_persona_rec_legacy = 'Provide a detailed and comprehensive summary of the following content in flawless ' \
-                                  f'{language}, ensuring all key points are covered. Create a markdown heading (###) that ' \
-                                  f'encapsulates the core information of the content. Make sure it is answered in {language}.'
-            default_persona_rec = f"""Write a detailed and comprehensive explanation of the following in perfect {language} with no grammar issues, 
-ensuring all key points are covered. Create a markdown heading (###) that encapsulates the core information:""" +  \
-"""
-                                  
-{text}
-
-""" + \
-f"""Structured markdown explanation with heading (###) in perfect {language}: """
+            _set_language(language)
+
+            prompts = file_io.read_json("resources/prompt.json")
+
+            persona_rec_legacy = _extract_prompt(prompts, "recursive", True, language)
+            persona_rec = _extract_prompt(prompts, "recursive", False, language)
             persona_rec = st.text_area('Bot Persona Recursive',
-                                       value=_set_config(config_file, "OPENAI_PERSONA_REC", _legacy(enable_legacy, default_persona_rec_legacy, default_persona_rec)),
+                                       value=_set_config(config_file, "OPENAI_PERSONA_REC", _legacy(enable_legacy, persona_rec_legacy, persona_rec)),
                                        help='System message is a pre-defined message used to instruct the assistant at the '
                                             'beginning of a conversation. iterating and '
                                             'experimenting with potential improvements can help to generate better outputs.'
                                             'Make sure to use casual language.',
                                        height=250)
             if enable_final_summary:
-                default_persona_sum_legacy = 'identify headings in the transcript and summarise them into five ' \
-                                        'headings. Use #### headings in markdown. Under headings, summarise at least ' \
-                                        '3 key points and then provide detail explanation of the concept based on the ' \
-                                        'following text in the way that can be read fluently, make sense and avoid ' \
-                                        'repetition. Make sure to include all information. Write it in beautiful and ' \
-                                        f'structured markdown in perfect {language}. '
-                default_persona_sum = f"""Write a detailed summary of the following in {language}: 
-""" + \
-"""                
-{text}
-                                      
-Identify and summarise them into five headings. Use #### headings in markdown. Under headings, summarize a list of key points that best encapsulate the core information.""" + \
-f"""Structured markdown summary with headings in perfect {language} (####): """
+                persona_sum_legacy = _extract_prompt(prompts, "final", True, language)
+                persona_sum = _extract_prompt(prompts, "final", False, language)
 
                 persona_sum = st.text_area('Bot Persona Total Sum',
-                                           value=_set_config(config_file, "OPENAI_PERSONA_SUM", _legacy(enable_legacy, default_persona_sum_legacy, default_persona_sum)),
+                                           value=_set_config(config_file, "OPENAI_PERSONA_SUM", _legacy(enable_legacy, persona_sum_legacy, persona_sum)),
                                            help='This is a pre-defined message for total summarization that is used to'
                                                 'instruct the assistant at the beginning of a conversation. ',
                                            height=300)
@@ -187,7 +178,7 @@ def sidebar():
 
         if persona_rec:
             set_openai_persona(persona_rec, persona_sum)
-        _set_language(language)
+
         set_chunk_size(chunk_size)
         set_param(param)
         set_delay(delay)

src/Modules/file_io.py

@@ -8,12 +8,18 @@
 import streamlit as st
 
 
+
 @st.cache_data()
-def read_json(file, key: str) -> Any:
+def read_json(file, key: str = None) -> Any:
     """Reads a json file and returns the value of a key."""
     with open(file, "r") as f:
         data = json.load(f)
-        return data[key]
+        if key and isinstance(data, dict):
+            return data[key]
+        elif key and isinstance(data, list):
+            return [d[key] for d in data]
+        else:
+            return data
 
 
 @st.cache_data()