Change to pyproject.toml

config

@@ -1,7 +1,7 @@
 # OpenAI stuff
 KEYFILE="./openai_key.txt"
 MODEL_NAME="lunademo"
-LOCAL_AI_URL="http://localhost:8080/v1"
+LOCAL_AI_URL=http://172.29.221.52:5000/v1/
 
 # General
 INTERACTIVE="no"

examples/webgpt.py

@@ -1,6 +1,7 @@
 """
 WebGPT is an AI driven enterprise that develop website for its clients.
 """
+
 import os
 import openai
 from gpt_enterprise.gpt_utils import (

python/gpt_enterprise/__init__.py

@@ -13,4 +13,5 @@
 The scrum master will then create a sequence of tasks, each associated to an employee previously hired by the team leader.\n
 At the end, all tasks result will be returned to the CEO.\n
 """
+
 from .__main__ import main

python/gpt_enterprise/__main__.py

@@ -1,6 +1,7 @@
 """
 GPTenterprise is an AI driven enterprise.
 """
+
 import os
 import sys
 import asyncio
@@ -23,10 +24,8 @@ def main():
 
     if local_ai_url:
         # Change api url to LoacalAi one
-        openai.api_base = local_ai_url
+        openai.base_url = local_ai_url
         openai.api_key = "sx-xxx"
-        OPENAI_API_KEY = "sx-xxx"
-        os.environ['OPENAI_API_KEY'] = OPENAI_API_KEY
     else:
         # Initialize openai api_key
         with open("./openai_key.txt", "r") as file:

python/gpt_enterprise/employee.py

@@ -3,6 +3,7 @@
 Employee
 \U0001F469
 """
+
 import os
 from typing import List, Tuple
 

python/gpt_enterprise/enterprise.py

@@ -3,6 +3,7 @@
 Enterprise
 \U0001F3E2
 """
+
 import os
 
 from gpt_enterprise.team_leader import TeamLeader

python/gpt_enterprise/gpt_utils.py

@@ -3,6 +3,7 @@
 GPT utils
 \U0001F9E0
 """
+
 import os
 import openai
 import requests
@@ -13,7 +14,10 @@
 
 
 def generate_text(
-    system_prompt: str, user_prompt: str, temperature: float, model: str = os.getenv("MODEL_NAME", "gpt-3.5-turbo-16k")
+    system_prompt: str,
+    user_prompt: str,
+    temperature: float,
+    model: str = os.getenv("MODEL_NAME", "gpt-3.5-turbo-16k"),
 ) -> Generator:
     """
 
@@ -27,7 +31,7 @@ def generate_text(
     Returns:
         Generator: GPT response object
     """
-    response = openai.ChatCompletion.create(
+    response = openai.chat.completions.create(
         model=model,
         messages=[
             # Initialize GPT with system prompt
@@ -67,39 +71,44 @@ def generate_image(
     """
     # Ask ChatGPT a prompt to generate image with DALL-E
     with open(os.path.join(EMPLOYEE_PROMPTS_PATH, "dall_e_prompter.txt"), "r") as file:
-        response = openai.ChatCompletion.create(
+        response = openai.chat.completions.create(
             model=os.getenv("MODEL_NAME", "gpt-3.5-turbo-16k"),
             messages=[
                 # Initialize ChatGPT to be a helpful assistant but that it remains the employee
                 {
                     "role": "system",
-                    "content": f"{file.read()}"
-                    + f" You are also {system_prompt} But keep in mind that {file.read()}"
-                    if system_prompt
-                    else "",
+                    "content": (
+                        f"{file.read()}"
+                        + f" You are also {system_prompt} But keep in mind that {file.read()}"
+                        if system_prompt
+                        else ""
+                    ),
                 },
                 # Generate a subject
                 {"role": "user", "content": f"SUBJECT {user_prompt}"},
             ],
         )
 
-    # Create images, troncate prompt to 70 characters
-    # to be sure it will be accepted by DALL-E
-    image_response = openai.Image.create(
-        prompt=response.choices[0].message.content[:70],
-        n=nb_image,
-        size="1024x1024",
-    )
-
     generated_image_names = []
 
-    # Download images
-    for index, image in enumerate(image_response["data"]):
-        img_data = requests.get(image["url"]).content
-        img_name = f"{base_name}_{index}.jpg"
-        img_path = os.path.join(output_directory, img_name)
-        with open(img_path, "wb") as handler:
-            handler.write(img_data)
-            generated_image_names.append(f"./{img_name}")
+    try:
+        # Create images, troncate prompt to 70 characters
+        # to be sure it will be accepted by DALL-E
+        image_response = openai.Image.create(
+            prompt=response.choices[0].message.content[:70],
+            n=nb_image,
+            size="1024x1024",
+        )
+
+        # Download images
+        for index, image in enumerate(image_response["data"]):
+            img_data = requests.get(image["url"]).content
+            img_name = f"{base_name}_{index}.jpg"
+            img_path = os.path.join(output_directory, img_name)
+            with open(img_path, "wb") as handler:
+                handler.write(img_data)
+                generated_image_names.append(f"./{img_name}")
+    except Exception as error:
+        print(error)
 
     return response.choices[0].message.content, generated_image_names

python/gpt_enterprise/scrum_master.py

@@ -3,6 +3,7 @@
 Scrum Master
 \U0001F3C2
 """
+
 import os
 import ast
 import time
@@ -41,9 +42,11 @@ def __init__(
         """
         with open(
             os.path.join(
-                MANAGER_PROMPTS_PATH
-                if not os.getenv("CUSTOM_MANAGER_PROMPTS_PATH")
-                else os.getenv("CUSTOM_MANAGER_PROMPTS_PATH"),
+                (
+                    MANAGER_PROMPTS_PATH
+                    if not os.getenv("CUSTOM_MANAGER_PROMPTS_PATH")
+                    else os.getenv("CUSTOM_MANAGER_PROMPTS_PATH")
+                ),
                 "scrum_master.txt",
             ),
             "r",

python/gpt_enterprise/team_leader.py

@@ -3,6 +3,7 @@
 Team leader
 \U0001F57A
 """
+
 import os
 import ast
 import json
@@ -37,9 +38,11 @@ def __init__(
         """
         with open(
             os.path.join(
-                MANAGER_PROMPTS_PATH
-                if not os.getenv("CUSTOM_MANAGER_PROMPTS_PATH")
-                else os.getenv("CUSTOM_MANAGER_PROMPTS_PATH"),
+                (
+                    MANAGER_PROMPTS_PATH
+                    if not os.getenv("CUSTOM_MANAGER_PROMPTS_PATH")
+                    else os.getenv("CUSTOM_MANAGER_PROMPTS_PATH")
+                ),
                 "team_leader.txt",
             ),
             "r",

python/pyproject.toml

@@ -0,0 +1,49 @@
+[build-system]
+requires = ["setuptools"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "GPTenterprise"
+version = "0.1.0b1"
+authors = [
+    {name = "nervousapps (Achille Pénet)", email = "[email protected]"}
+]
+description = "Emulating an enterprise with OpenaAI GPT."
+classifiers = [
+    "License :: OSI Approved :: MIT License",
+]
+readme = "README.md"
+dependencies = [
+    "python-dotenv",
+    "openai",
+    "requests",
+]
+requires-python=">= 3.9"
+
+[project.urls]
+Source = "https://github.com/nervousapps/GPTenterprise"
+Documentation = "https://nervousapps.github.io/GPTenterprise"
+
+[project.optional-dependencies]
+test = [
+    "pytest",
+    "pytest-mock",
+    "pytest-cov",
+    "pytest-asyncio",
+]
+doc = ["black", "pdoc"]
+
+[tool.setuptools]
+include-package-data = true
+
+[tool.setuptools.packages.find]
+include = ['gpt_enterprise*']
+exclude = ['tests']
+
+[tool.setuptools.package-data]
+"gpt_enterprise.prompts" = ["*.txt"]
+
+[project.scripts]
+GPTenterprise = "gpt_enterprise:main"
+
+

python/requirements-docs.txt

@@ -1,28 +1,84 @@
 #
-# This file is autogenerated by pip-compile with Python 3.11
+# This file is autogenerated by pip-compile with Python 3.10
 # by the following command:
 #
-#    pip-compile --output-file=./python/requirements-docs.txt ./python/requirements-docs.in
+#    pip-compile --extra=doc --output-file=./python/requirements-docs.txt ./python/pyproject.toml
 #
-black==23.3.0
-    # via -r ./python/requirements-docs.in
-click==8.1.3
+annotated-types==0.6.0
+    # via pydantic
+anyio==4.2.0
+    # via
+    #   httpx
+    #   openai
+black==23.12.1
+    # via GPTenterprise (python/pyproject.toml)
+certifi==2023.11.17
+    # via
+    #   httpcore
+    #   httpx
+    #   requests
+charset-normalizer==3.3.2
+    # via requests
+click==8.1.7
     # via black
-jinja2==3.1.2
+distro==1.9.0
+    # via openai
+exceptiongroup==1.2.0
+    # via anyio
+h11==0.14.0
+    # via httpcore
+httpcore==1.0.2
+    # via httpx
+httpx==0.26.0
+    # via openai
+idna==3.6
+    # via
+    #   anyio
+    #   httpx
+    #   requests
+jinja2==3.1.3
     # via pdoc
-markupsafe==2.1.2
+markupsafe==2.1.3
     # via
     #   jinja2
     #   pdoc
 mypy-extensions==1.0.0
     # via black
-packaging==23.1
+openai==1.7.2
+    # via GPTenterprise (python/pyproject.toml)
+packaging==23.2
     # via black
-pathspec==0.11.1
+pathspec==0.12.1
     # via black
-pdoc==13.1.0
-    # via -r ./python/requirements-docs.in
-platformdirs==3.2.0
+pdoc==14.3.0
+    # via GPTenterprise (python/pyproject.toml)
+platformdirs==4.1.0
     # via black
-pygments==2.15.1
+pydantic==2.5.3
+    # via openai
+pydantic-core==2.14.6
+    # via pydantic
+pygments==2.17.2
     # via pdoc
+python-dotenv==1.0.0
+    # via GPTenterprise (python/pyproject.toml)
+requests==2.31.0
+    # via GPTenterprise (python/pyproject.toml)
+sniffio==1.3.0
+    # via
+    #   anyio
+    #   httpx
+    #   openai
+tomli==2.0.1
+    # via black
+tqdm==4.66.1
+    # via openai
+typing-extensions==4.9.0
+    # via
+    #   anyio
+    #   black
+    #   openai
+    #   pydantic
+    #   pydantic-core
+urllib3==2.2.1
+    # via requests