[Refactor] dependencies upgrade

.gitignore

@@ -135,7 +135,7 @@ ipython_config.py
 #   This is especially recommended for binary packages to ensure reproducibility, and is more
 #   commonly ignored for libraries.
 #   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
+poetry.lock
 
 # pdm
 #   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.

playground/agents/mm_agent_example.py

@@ -11,9 +11,7 @@
 img = node.run_img("/image1", "What is this image about?")
 
 chat = node.chat(
-    (
-        "What is your name? Generate a picture of yourself. What is"
-        " this image about?"
-    ),
+    "What is your name? Generate a picture of yourself. What is"
+    " this image about?",
     streaming=True,
 )

playground/demos/autobloggen_example.py

@@ -126,10 +126,8 @@ def run(self):
             except Exception as error:
                 print(
                     colored(
-                        (
-                            "Error while running AutoBlogGenSwarm"
-                            f" {error}"
-                        ),
+                        "Error while running AutoBlogGenSwarm"
+                        f" {error}",
                         "red",
                     )
                 )

playground/demos/autotemp/blog_gen_example.py

@@ -47,10 +47,8 @@ def run_workflow(self):
             topic_output = topic_result.generations[0][0].text
             print(
                 colored(
-                    (
-                        "\nTopic Selection Task"
-                        f" Output:\n----------------------------\n{topic_output}\n"
-                    ),
+                    "\nTopic Selection Task"
+                    f" Output:\n----------------------------\n{topic_output}\n",
                     "white",
                 )
             )
@@ -72,10 +70,8 @@ def run_workflow(self):
             initial_draft_output = auto_temp_output  # Assuming AutoTemp.run returns the best output directly
             print(
                 colored(
-                    (
-                        "\nInitial Draft"
-                        f" Output:\n----------------------------\n{initial_draft_output}\n"
-                    ),
+                    "\nInitial Draft"
+                    f" Output:\n----------------------------\n{initial_draft_output}\n",
                     "white",
                 )
             )
@@ -88,10 +84,8 @@ def run_workflow(self):
             review_output = review_result.generations[0][0].text
             print(
                 colored(
-                    (
-                        "\nReview"
-                        f" Output:\n----------------------------\n{review_output}\n"
-                    ),
+                    "\nReview"
+                    f" Output:\n----------------------------\n{review_output}\n",
                     "white",
                 )
             )
@@ -110,10 +104,8 @@ def run_workflow(self):
             ].text
             print(
                 colored(
-                    (
-                        "\nDistribution"
-                        f" Output:\n----------------------------\n{distribution_output}\n"
-                    ),
+                    "\nDistribution"
+                    f" Output:\n----------------------------\n{distribution_output}\n",
                     "white",
                 )
             )
@@ -122,10 +114,8 @@ def run_workflow(self):
             final_blog_content = f"{initial_draft_output}\n\n{review_output}\n\n{distribution_output}"
             print(
                 colored(
-                    (
-                        "\nFinal Blog"
-                        f" Content:\n----------------------------\n{final_blog_content}\n"
-                    ),
+                    "\nFinal Blog"
+                    f" Content:\n----------------------------\n{final_blog_content}\n",
                     "green",
                 )
             )

playground/demos/developer_swarm/main_example.py

@@ -33,7 +33,7 @@
 """
 
 # Initialize the language model
-llm = OpenAIChat(openai_api_key=api_key, max_tokens=5000)
+llm = OpenAIChat(openai_api_key=api_key, max_tokens=4096)
 
 
 # Documentation agent

playground/demos/grupa/app_example.py

@@ -95,10 +95,8 @@ def feature_codebase_product_agentprompt(
 )
 print(
     colored(
-        (
-            "---------------------------- Product Manager Plan:"
-            f" {product_manager_out}"
-        ),
+        "---------------------------- Product Manager Plan:"
+        f" {product_manager_out}",
         "cyan",
     )
 )
@@ -111,10 +109,8 @@ def feature_codebase_product_agentprompt(
 )
 print(
     colored(
-        (
-            "--------------------- Feature Implementer Code logic:"
-            f" {agent1_out}"
-        ),
+        "--------------------- Feature Implementer Code logic:"
+        f" {agent1_out}",
         "cyan",
     )
 )
@@ -125,10 +121,8 @@ def feature_codebase_product_agentprompt(
 )
 print(
     colored(
-        (
-            "---------------------------- Tests for the logic:"
-            f" {tester_agent_out}"
-        ),
+        "---------------------------- Tests for the logic:"
+        f" {tester_agent_out}",
         "green",
     )
 )
@@ -140,10 +134,8 @@ def feature_codebase_product_agentprompt(
 )
 print(
     colored(
-        (
-            "---------------------------- Documentation for the"
-            f" logic: {documenter_agent_out}"
-        ),
+        "---------------------------- Documentation for the"
+        f" logic: {documenter_agent_out}",
         "yellow",
     )
 )

playground/demos/personal_stylist/personal_stylist_example.py

@@ -66,43 +66,33 @@
 
 # Run agents with respective tasks
 haircut_suggestions = haircut_stylist_agent.run(
-    (
-        "Suggest suitable haircuts for this user, considering their"
-        " face shape and hair type."
-    ),
+    "Suggest suitable haircuts for this user, considering their"
+    " face shape and hair type.",
     user_selfie,
 )
 
 # Run Makeup or Beard agent based on gender
 if user_gender == "woman":
     makeup_suggestions = makeup_or_beard_stylist_agent.run(
-        (
-            "Recommend makeup styles for this user, complementing"
-            " their features."
-        ),
+        "Recommend makeup styles for this user, complementing"
+        " their features.",
         user_selfie,
     )
 elif user_gender == "man":
     beard_suggestions = makeup_or_beard_stylist_agent.run(
-        (
-            "Provide beard styling advice for this user, considering"
-            " their face shape."
-        ),
+        "Provide beard styling advice for this user, considering"
+        " their face shape.",
         user_selfie,
     )
 
 clothing_suggestions = clothing_stylist_agent.run(
-    (
-        "Match clothing styles and colors for this user, using color"
-        " matching principles."
-    ),
+    "Match clothing styles and colors for this user, using color"
+    " matching principles.",
     clothes_image,
 )
 
 accessories_suggestions = accessories_stylist_agent.run(
-    (
-        "Suggest accessories to complement this user's outfit,"
-        " considering the overall style."
-    ),
+    "Suggest accessories to complement this user's outfit,"
+    " considering the overall style.",
     clothes_image,
 )

playground/demos/urban_planning/urban_planning_example.py

@@ -68,10 +68,8 @@
 )
 workflow.add(
     final_plan_agent,
-    (
-        "Generate the final urban improvement plan based on all"
-        " previous agent's findings"
-    ),
+    "Generate the final urban improvement plan based on all"
+    " previous agent's findings",
 )
 # Run the workflow for individual analysis tasks
 

playground/structs/debate_example.py

@@ -140,10 +140,12 @@ def bid(self) -> str:
 def generate_character_description(character_name):
     character_specifier_prompt = [
         player_descriptor_system_message,
-        HumanMessage(content=f"""{game_description}
+        HumanMessage(
+            content=f"""{game_description}
             Please reply with a creative description of the presidential candidate, {character_name}, in {word_limit} words or less, that emphasizes their personalities.
             Speak directly to {character_name}.
-            Do not add anything else."""),
+            Do not add anything else."""
+        ),
     ]
     character_description = ChatOpenAI(temperature=1.0)(
         character_specifier_prompt
@@ -164,7 +166,8 @@ def generate_character_header(character_name, character_description):
 def generate_character_system_message(
     character_name, character_header
 ):
-    return SystemMessage(content=f"""{character_header}
+    return SystemMessage(
+        content=f"""{character_header}
 You will speak in the style of {character_name}, and exaggerate their personality.
 You will come up with creative ideas related to {topic}.
 Do not say the same things over and over again.
@@ -176,7 +179,8 @@ def generate_character_system_message(
 Stop speaking the moment you finish speaking from your perspective.
 Never forget to keep your response to {word_limit} words!
 Do not add anything else.
-    """)
+    """
+    )
 
 
 character_descriptions = [
@@ -261,15 +265,17 @@ def generate_character_bidding_template(character_header):
 
 topic_specifier_prompt = [
     SystemMessage(content="You can make a task more specific."),
-    HumanMessage(content=f"""{game_description}
+    HumanMessage(
+        content=f"""{game_description}
 
         You are the debate moderator.
         Please make the debate topic more specific.
         Frame the debate topic as a problem to be solved.
         Be creative and imaginative.
         Please reply with the specified topic in {word_limit} words or less.
         Speak directly to the presidential candidates: {*character_names,}.
-        Do not add anything else."""),
+        Do not add anything else."""
+    ),
 ]
 specified_topic = ChatOpenAI(temperature=1.0)(
     topic_specifier_prompt

playground/utils/pandas_to_str.py → playground/utils/pandas_to_str_example.py

@@ -2,10 +2,12 @@
 from swarms import dataframe_to_text
 
 # # Example usage:
-df = pd.DataFrame({
-    'A': [1, 2, 3],
-    'B': [4, 5, 6],
-    'C': [7, 8, 9],
-})
+df = pd.DataFrame(
+    {
+        "A": [1, 2, 3],
+        "B": [4, 5, 6],
+        "C": [7, 8, 9],
+    }
+)
 
 print(dataframe_to_text(df))