Adjust system prompt and adjust readme

README.md

@@ -137,20 +137,6 @@ Once your virtual environment is activated, you'll see its name in the terminal
 
 > Remember to deactivate the virtual environment when you're done working with Verba by simply running deactivate in the terminal.
 
-## Linting
-We use [ruff](https://github.com/astral-sh/ruff) for automatic code formation and linting.
-The process is automated with a pre-commit hook. To install the hook, run:
-```
-pre-commit install
-```
-or for shorthand:
-```bash 
-make pre-commit
-```
-After that all your commits will be automatically linted and formatted. The linting will happen only on the files you changed.
-
-`make pre-commit` formats all files in the repository and install the hooks if needed.
-
 # 📦 Choosing the Right Verba Installation Package
 Verba comes in several installation packages, each tailored for specific use cases and environments. Choose the package that aligns with your requirements:
 

goldenverba/components/generation/GPT4Generator.py

@@ -1,8 +1,9 @@
 import asyncio
 import os
+from collections.abc import Iterator
+
 from dotenv import load_dotenv
 
-from collections.abc import Iterator
 from goldenverba.components.generation.interface import Generator
 
 load_dotenv()
@@ -48,7 +49,7 @@ async def generate(
             if "OPENAI_API_BASE" in os.environ:
                 openai.api_base = os.getenv("OPENAI_API_BASE")
             if "OPENAI_API_VERSION" in os.environ:
-                openai.api_version = os.getenv("OPENAI_API_VERSION")            
+                openai.api_version = os.getenv("OPENAI_API_VERSION")
 
             chat_completion_arguments = {
                 "model":self.model_name,
@@ -57,7 +58,7 @@ async def generate(
             if openai.api_type=="azure":
                 chat_completion_arguments["deployment_id"]=self.model_name
 
-            
+
             base_url = os.environ.get("OPENAI_BASE_URL", "")
             if base_url:
                 openai.api_base = base_url
@@ -102,7 +103,7 @@ async def generate_stream(
             if "OPENAI_API_BASE" in os.environ:
                 openai.api_base = os.getenv("OPENAI_API_BASE")
             if "OPENAI_API_VERSION" in os.environ:
-                openai.api_version = os.getenv("OPENAI_API_VERSION")            
+                openai.api_version = os.getenv("OPENAI_API_VERSION")
 
             chat_completion_arguments = {
                 "model":self.model_name,
@@ -111,7 +112,7 @@ async def generate_stream(
                 "temperature":0.0
             }
             if openai.api_type=="azure":
-                chat_completion_arguments["deployment_id"]=self.model_name            
+                chat_completion_arguments["deployment_id"]=self.model_name
 
             completion = await openai.ChatCompletion.acreate(
                 **chat_completion_arguments

requirements.txt

@@ -21,4 +21,3 @@ accelerate
 cohere==4.33
 requests
 pypdf2
-pre-commit

setup.py

@@ -18,8 +18,6 @@
     classifiers=[
         "License :: OSI Approved :: BSD License",
         "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.6",
-        "Programming Language :: Python :: 3.7",
         "Programming Language :: Python :: 3.8",
         "Programming Language :: Python :: 3.9",
         "Programming Language :: Python :: 3.10",
@@ -33,7 +31,7 @@
         "spacy==3.6.1",
         "fastapi==0.102.0",
         "uvicorn[standard]",
-        "click== 8.1.7",
+        "click==8.1.7",
         "asyncio",
         "tiktoken==0.5.1",
         "cohere==4.33",
@@ -46,8 +44,7 @@
             "wheel",
             "twine",
             "black>=23.7.0",
-            "setuptools",
-            "pre-commit",
+            "setuptools"
         ],
         "huggingface": [
             "sentence-transformers",