[CLEANUP]

playground/demos/llm_with_conversation/main.py

@@ -0,0 +1,21 @@
+import os
+
+from dotenv import load_dotenv
+
+# Import the OpenAIChat model and the Agent struct
+from swarms.models import OpenAIChat
+from swarms.structs import Agent
+
+# Load the environment variables
+load_dotenv()
+
+# Get the API key from the environment
+api_key = os.environ.get("OPENAI_API_KEY")
+
+# Initialize the language model
+llm = OpenAIChat(
+    temperature=0.5,
+    model_name="gpt-4",
+    openai_api_key=api_key,
+    max_tokens=1000,
+)

playground/demos/personal_assistant/better_communication.py

@@ -56,6 +56,7 @@ def play_audio(file_path):
         # Stop the mixer module and free resources
         pygame.mixer.quit()
 
+
 while True:
     # Listen for user speech
     with sr.Microphone() as source:
@@ -74,7 +75,6 @@ while True:
         print(f"Error: {e}")
         continue
 
-
     # Run the Gemini model on the task
     print("Running GPT4 model...")
     out = llm(task)
@@ -90,7 +90,7 @@ while True:
     # if play_audio.lower() == "yes":
     # Initialize the mixer module
     # Play the audio file
-    
+
     time.sleep(5)
-    
+
-    playsound('runs/tts_speech.wav')
+    playsound("runs/tts_speech.wav")

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "swarms"
-version = "2.3.8"
+version = "2.4.0"
 description = "Swarms - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]
@@ -94,4 +94,4 @@ preview = true
 
 
 [tool.poetry.scripts]
-swarms = 'swarms.cli._cli:run_file'
+swarms = 'swarms.cli._cli:cli'

swarms/cli/_cli.py

@@ -2,7 +2,7 @@ import argparse
 import sys
 
 
-def run_file():
+def cli():
     parser = argparse.ArgumentParser(description="Swarms CLI")
     parser.add_argument(
         "file_name", help="Python file containing Swarms code to run"

swarms/cli/run_file.py

@@ -2,7 +2,7 @@ import sys
 import subprocess
 
 
-def run_file():
+def run_file(filename: str):
     """Run a given file.
 
     Usage: swarms run file_name.py