Bump version to 2.0.64 and update dependencies

- Updated version across multiple files (praisonai.rb, pyproject.toml, uv.lock, Dockerfile, deploy.py, docs)
- Added TRAIN_AVAILABLE flag in cli.py for optional training feature
- Updated Conda environment setup script with latest dependencies
- Minor improvements to training and deployment configurations

docker/Dockerfile

@@ -1,6 +1,6 @@
 FROM python:3.11-slim
 WORKDIR /app
 COPY . .
-RUN pip install flask praisonai==2.0.63 gunicorn markdown
+RUN pip install flask praisonai==2.0.64 gunicorn markdown
 EXPOSE 8080
 CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]

docs/api/praisonai/deploy.html

@@ -110,7 +110,7 @@ <h2 id="raises">Raises</h2>
             file.write(&#34;FROM python:3.11-slim\n&#34;)
             file.write(&#34;WORKDIR /app\n&#34;)
             file.write(&#34;COPY . .\n&#34;)
-            file.write(&#34;RUN pip install flask praisonai==2.0.63 gunicorn markdown\n&#34;)
+            file.write(&#34;RUN pip install flask praisonai==2.0.64 gunicorn markdown\n&#34;)
             file.write(&#34;EXPOSE 8080\n&#34;)
             file.write(&#39;CMD [&#34;gunicorn&#34;, &#34;-b&#34;, &#34;0.0.0.0:8080&#34;, &#34;api:app&#34;]\n&#39;)
 

praisonai.rb

@@ -3,7 +3,7 @@ class Praisonai < Formula
 
     desc "AI tools for various AI applications"
     homepage "https://github.com/MervinPraison/PraisonAI"
-    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/2.0.63.tar.gz"
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/2.0.64.tar.gz"
     sha256 "1828fb9227d10f991522c3f24f061943a254b667196b40b1a3e4a54a8d30ce32"  # Replace with actual SHA256 checksum
     license "MIT"
 

praisonai/cli.py

@@ -25,7 +25,7 @@
 CREWAI_AVAILABLE = False
 AUTOGEN_AVAILABLE = False
 PRAISONAI_AVAILABLE = False
-
+TRAIN_AVAILABLE = False
 try:
     # Create necessary directories and set CHAINLIT_APP_ROOT
     if "CHAINLIT_APP_ROOT" not in os.environ:
@@ -72,6 +72,12 @@
 except ImportError:
     pass
 
+try:
+    import accelerate
+    TRAIN_AVAILABLE = True
+except ImportError:
+    pass
+
 logging.basicConfig(level=os.environ.get('LOGLEVEL', 'INFO'), format='%(asctime)s - %(levelname)s - %(message)s')
 logging.getLogger('alembic').setLevel(logging.ERROR)
 logging.getLogger('gradio').setLevel(logging.ERROR)
@@ -393,9 +399,13 @@ def parse_args(self):
                 sys.exit(0)
 
             elif args.command == 'train':
-                print("[red]ERROR: Train feature is not installed. Install with:[/red]")
-                print("\npip install \"praisonai\[train]\"\n")
-                sys.exit(1)
+                if not TRAIN_AVAILABLE:
+                    print("[red]ERROR: Train feature is not installed. Install with:[/red]")
+                    print("\npip install \"praisonai[train]\"\n")
+                    sys.exit(1)
+                package_root = os.path.dirname(os.path.abspath(__file__))
+                config_yaml_destination = os.path.join(os.getcwd(), 'config.yaml')
+
 
             elif args.command == 'ui':
                 if not CHAINLIT_AVAILABLE:

praisonai/deploy.py

@@ -56,7 +56,7 @@ def create_dockerfile(self):
             file.write("FROM python:3.11-slim\n")
             file.write("WORKDIR /app\n")
             file.write("COPY . .\n")
-            file.write("RUN pip install flask praisonai==2.0.63 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.0.64 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
 

praisonai/setup/setup_conda_env.sh

@@ -11,6 +11,20 @@ if [[ "$OSTYPE" == "darwin"* ]]; then
 elif [[ "$OSTYPE" == "linux-gnu"* ]]; then
     # Linux
     MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh"
+
+    # Check and install libcurl development package if not present
+    if command -v dpkg &> /dev/null; then
+        if ! dpkg -s libcurl4-openssl-dev &> /dev/null; then
+            echo "libcurl4-openssl-dev is not installed. Installing..."
+            sudo apt-get update
+            sudo apt-get install -y libcurl4-openssl-dev
+        else
+            echo "libcurl4-openssl-dev is already installed."
+        fi
+    else
+        echo "Non-Debian based Linux detected. Please ensure libcurl development libraries are installed."
+    fi
+
 elif [[ "$OSTYPE" == "msys" || "$OSTYPE" == "win32" ]]; then
     # Windows
     MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe"
@@ -44,7 +58,6 @@ if conda info --envs | grep -q $ENV_NAME; then
         # Linux
         conda create --name $ENV_NAME python=3.10 pytorch=2.3.0 cudatoolkit=11.8 -c pytorch -c nvidia -y
     fi
-    # conda activate $ENV_NAME
 else
     echo "Creating new environment $ENV_NAME..."
     if [[ "$OSTYPE" == "darwin"* ]]; then
@@ -54,19 +67,25 @@ else
         # Linux
         conda create --name $ENV_NAME python=3.10 pytorch=2.3.0 cudatoolkit=11.8 -c pytorch -c nvidia -y
     fi
-    # conda activate $ENV_NAME
 fi
 
-# source $HOME/miniconda/bin/activate $ENV_NAME
+# Activate the environment
+source $HOME/miniconda/bin/activate $ENV_NAME
+
+# Install cmake via conda
+echo "Installing cmake..."
+conda install -y cmake
 
-# Get full path of pip
+# Get full path of pip within the activated environment
 PIP_FULL_PATH=$(conda run -n $ENV_NAME which pip)
 
-# Install other packages within the activated environment
-# Use PIP_FULL_PATH to run pip commands
+# Install other packages within the activated environment using pip
 $PIP_FULL_PATH install --upgrade pip 
 $PIP_FULL_PATH install "xformers==0.0.26.post1"
-$PIP_FULL_PATH install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git@4e570be9ae4ced8cdc64e498125708e34942befc"
+$PIP_FULL_PATH install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git@038e6d4c8d40207a87297ab3aaf787c19b1006d1"
 $PIP_FULL_PATH install --no-deps "trl<0.9.0" peft accelerate bitsandbytes 
+$PIP_FULL_PATH install unsloth_zoo
+$PIP_FULL_PATH install cut_cross_entropy
+$PIP_FULL_PATH install sentencepiece protobuf datasets huggingface_hub hf_transfer
 
 echo "Setup completed successfully!"

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "PraisonAI"
-version = "2.0.63"
+version = "2.0.64"
 description = "PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration."
 readme = "README.md"
 license = ""
@@ -84,7 +84,7 @@ autogen = ["pyautogen>=0.2.19", "praisonai-tools>=0.0.7", "crewai"]
 
 [tool.poetry]
 name = "PraisonAI"
-version = "2.0.63"
+version = "2.0.64"
 description = "PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human–agent collaboration."
 authors = ["Mervin Praison"]
 license = ""