sync

lollms/functions/prompting/image_gen_prompts.py

@@ -0,0 +1,70 @@
+# Lollms function call definition file
+# File Name: get_random_image_gen_prompt.py
+# Author: ParisNeo
+# Description: This function returns a random image_gen prompt for various instructional roles. Each prompt includes a title and content that describes the role and its mission.
+
+# Import necessary libraries
+import random
+from typing import Tuple, List, Dict, Any
+
+# ascii_colors offers advanced console coloring and bug tracing
+from ascii_colors import trace_exception
+
+def get_random_image_gen_prompt() -> Tuple[str, str]:
+    """
+    Returns a random image_gen prompt for various instructional roles.
+
+    Each prompt includes a title and content that describes the role and its mission.
+    
+    Returns:
+        Tuple[str, str]: A tuple containing the title and content of the image_gen prompt.
+    """
+    try:
+        image_gen_prompts = [
+        ]
+        
+        return random.choice(image_gen_prompts)
+    except Exception as e:
+        return trace_exception(e)
+
+
+def get_image_gen_prompt(agent_name, number_of_entries=5) -> Tuple[str, str]:
+    """
+    Returns a random image_gen prompt for various instructional roles.
+
+    Each prompt includes a title and content that describes the role and its mission.
+    
+    Returns:
+        Tuple[str, str]: A tuple containing the title and content of the image_gen prompt.
+    """
+    try:
+        from lollmsvectordb.vector_database import VectorDatabase
+        from lollmsvectordb.lollms_vectorizers.bert_vectorizer import BERTVectorizer
+        from lollmsvectordb.lollms_tokenizers.tiktoken_tokenizer import TikTokenTokenizer
+        db = VectorDatabase("", BERTVectorizer(), TikTokenTokenizer(), number_of_entries)
+
+        image_gen_prompts = [
+        ]
+        for entry in image_gen_prompts:
+            db.add_document(entry[0], entry[0])
+        db.build_index()
+        results = db.search(agent_name, number_of_entries)
+
+        return [(r[2],image_gen_prompts[image_gen_prompts.index(r[2])]) for r in results]
+    except Exception as e:
+        return trace_exception(e)
+
+# Metadata function
+def get_random_image_gen_prompt_function() -> Dict[str, Any]:
+    """
+    Returns metadata for the get_random_image_gen_prompt function.
+
+    Returns:
+        Dict[str, Any]: Metadata including function name, function itself, description, and parameters.
+    """
+    return {
+        "function_name": "get_random_image_gen_prompt",
+        "function": get_random_image_gen_prompt,
+        "function_description": "Returns a random image_gen prompt for various instructional roles.",
+        "function_parameters": []  # No parameters needed for this function
+    }

lollms/functions/prompting/system_prompts.py

@@ -5,11 +5,27 @@
 
 # Import necessary libraries
 import random
-from typing import Tuple, List, Dict, Any
+from typing import Tuple, List, Dict, Any, Optional
 
 # ascii_colors offers advanced console coloring and bug tracing
 from ascii_colors import trace_exception
 
+def find_entry(entries: List[Tuple[str, str]], key: str) -> Optional[Tuple[str, str]]:
+    """
+    Finds and returns the entry in the list where the first value matches the specified key.
+
+    Args:
+        entries (List[Tuple[str, str]]): The list of tuples to search.
+        key (str): The key to search for in the first value of the tuples.
+
+    Returns:
+        Optional[Tuple[str, str]]: The matching tuple if found, otherwise None.
+    """
+    for entry in entries:
+        if entry[0] == key:
+            return entry
+    return None
+
 def get_random_system_prompt() -> Tuple[str, str]:
     """
     Returns a random system prompt for various instructional roles.
@@ -189,8 +205,8 @@ def get_system_prompt(agent_name, number_of_entries=5) -> Tuple[str, str]:
             db.add_document(entry[0], entry[0])
         db.build_index()
         results = db.search(agent_name, number_of_entries)
-
-        return results
+        
+        return [find_entry(system_prompts, r[2]) for r in results]
     except Exception as e:
         return trace_exception(e)