[CLEANUP]

README.md

@@ -37,18 +37,6 @@ pip install -U doc-master
 
 ## 🔧 Quick Start
 
-### Reading a Single File
-
-```python
-from doc_master import read_single_file
-
-# Read any supported file
-content = read_single_file("path/to/your/file.pdf")
-print(content)
-```
-
-### Processing Multiple Files
-
 ```python
 from doc_master import doc_master
 
@@ -59,15 +47,6 @@ results = doc_master(folder_path="path/to/folder", output_type="dict")
 content = doc_master(file_path="path/to/file.docx")
 ```
 
-### Using the AutoFileReader Class
-
-```python
-from doc_master import AutoFileReader
-
-reader = AutoFileReader()
-content = reader.read_file("path/to/file.xlsx", sheet_name="Sheet1")
-```
-
 ## 📋 Requirements
 
 - Python 3.8+

pyproject.toml

@@ -4,15 +4,15 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "doc-master"
-version = "0.0.1"
+version = "0.0.2"
 description = "Paper - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]
 homepage = "https://github.com/The-Swarm-Corporation/doc-master"
 documentation = "https://github.com/The-Swarm-Corporation/doc-master"  # Add this if you have documentation.
 readme = "README.md"  # Assuming you have a README.md
 repository = "https://github.com/The-Swarm-Corporation/doc-master"
-keywords = ["artificial intelligence", "deep learning", "optimizers", "Prompt Engineering"]
+keywords = ["document", "reader", "file", "content", "extraction", "pdf", "docx", "excel"]
 classifiers = [
     "Development Status :: 4 - Beta",
     "Intended Audience :: Developers",
@@ -21,6 +21,8 @@ classifiers = [
     "Programming Language :: Python :: 3.9"
 ]
 
+
+
 [tool.poetry.dependencies]
 python = "^3.10"
 chardet = "*"

requirements.txt

@@ -1,9 +1,4 @@
-chardet
-python-magic
 pandas
 pypdf
-pytesseract
-PyYAML
 loguru
-Pillow
-python-docx
+python-docx