added N_CHOICES, TEMPERATURE and IMAGE_SIZE to the .env file

.env.example

@@ -25,6 +25,16 @@ MAX_CONVERSATION_AGE_MINUTES=180
 # Whether to answer to voice messages with the transcript or with a ChatGPT response of the transcript
 VOICE_REPLY_WITH_TRANSCRIPT_ONLY=true
 
+# How many chat completion choices to generate for each input message
+N_CHOICES=1
+
+# Number between 0 and 2. Higher values like 0.8 will make the output more random,
+# while lower values like 0.2 will make it more focused and deterministic
+TEMPERATURE=1.0
+
+# The DALL·E generated image size
+IMAGE_SIZE="512x512"
+
 # Group trigger keyword, if set, the bot will only respond to messages that start with this keyword
 # Useful for bots added to groups with privacy mode disabled
 GROUP_TRIGGER_KEYWORD=""

README.md

@@ -57,6 +57,9 @@ MAX_TOKENS=2000 # Defaults to 1200
 MAX_HISTORY_SIZE=15 # Defaults to 10
 MAX_CONVERSATION_AGE_MINUTES=120 # Defaults to 180 (3h)
 VOICE_REPLY_WITH_TRANSCRIPT_ONLY=false # Defaults to true
+N_CHOICES=1 # Defaults to 1
+TEMPERATURE=1.0 # Defaults to 1.0
+IMAGE_SIZE="256x256" # Defaults to 512x512
 GROUP_TRIGGER_KEYWORD="@bot" # Defaults to "" (no keyword required)
 TOKEN_PRICE=0.002 # Defaults to 0.002, current price: https://openai.com/pricing
 IMAGE_PRICES="0.016,0.018,0.02" # Defaults to OpenAI Dall-E pricing for sizes 256x256,512x512,1024x1024
@@ -72,6 +75,9 @@ TRANSCRIPTION_PRICE=0.006 # Defaults to minute price of OpenAI Whisper of 0.006
 * `MAX_HISTORY_SIZE`: Max number of messages to keep in memory, after which the conversation will be summarised to avoid excessive token usage ([#34](https://github.com/n3d1117/chatgpt-telegram-bot/issues/34))
 * `MAX_CONVERSATION_AGE_MINUTES`: Maximum number of minutes a conversation should live, after which the conversation will be reset to avoid excessive token usage
 * `VOICE_REPLY_WITH_TRANSCRIPT_ONLY`: Whether to answer to voice messages with the transcript only or with a ChatGPT response of the transcript ([#38](https://github.com/n3d1117/chatgpt-telegram-bot/issues/38))
+* `N_CHOICES`: Number of answers to generate for each input message
+* `TEMPERATURE`: Number between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic
+* `IMAGE_SIZE`: The DALL·E generated image size. Allowed values: "256x256", "512x512", or "1024x1024"
 * `GROUP_TRIGGER_KEYWORD`: If set, the bot will only respond to messages that start with this keyword. This is useful for bots added to groups with privacy mode disabled. **Note**: by default, *no keyword* is required (`""`)
 * `TOKEN_PRICE`: USD-price per 1000 tokens for cost information in usage statistics
 
@@ -83,23 +89,13 @@ TRANSCRIPTION_PRICE=0.006 # Defaults to minute price of OpenAI Whisper of 0.006
     # 'gpt-3.5-turbo' or 'gpt-3.5-turbo-0301'
     'model': 'gpt-3.5-turbo',
 
-    # Number between 0 and 2. Higher values like 0.8 will make the output more random,
-    # while lower values like 0.2 will make it more focused and deterministic. Defaults to 1
-    'temperature': 1,
-    
-    # How many answers to generate for each input message. Defaults to 1
-    'n_choices': 1,
-
     # Number between -2.0 and 2.0. Positive values penalize new tokens based on whether
     # they appear in the text so far, increasing the model's likelihood to talk about new topics. Defaults to 0
     'presence_penalty': 0,
     
     # Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing
     # frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. Defaults to 0
-    'frequency_penalty': 0,
-    
-    # The DALL·E generated image size. 256x256, 512x512, or 1024x1024. Defaults to 512x512
-    'image_size': '512x512'
+    'frequency_penalty': 0
 }
 ```
 </details>

main.py

@@ -33,27 +33,20 @@ def main():
         'max_conversation_age_minutes': int(os.environ.get('MAX_CONVERSATION_AGE_MINUTES', 180)),
         'assistant_prompt': os.environ.get('ASSISTANT_PROMPT', 'You are a helpful assistant.'),
         'max_tokens': int(os.environ.get('MAX_TOKENS', 1200)),
+        'n_choices': int(os.environ.get('N_CHOICES', 1200)),
+        'temperature': float(os.environ.get('TEMPERATURE', 1.0)),
+        'image_size': os.environ.get('IMAGE_SIZE', '512x512'),
 
         # 'gpt-3.5-turbo' or 'gpt-3.5-turbo-0301'
         'model': 'gpt-3.5-turbo',
 
-        # Number between 0 and 2. Higher values like 0.8 will make the output more random,
-        # while lower values like 0.2 will make it more focused and deterministic.
-        'temperature': 1,
-
-        # How many chat completion choices to generate for each input message.
-        'n_choices': 1,
-
         # Number between -2.0 and 2.0. Positive values penalize new tokens based on whether
         # they appear in the text so far, increasing the model's likelihood to talk about new topics.
         'presence_penalty': 0,
 
         # Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing
         # frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
-        'frequency_penalty': 0,
-
-        # The DALL·E generated image size
-        'image_size': '512x512'
+        'frequency_penalty': 0
     }
 
     telegram_config = {