env instractions updated

README.md

@@ -1,10 +1,11 @@
 ---
 license: mit
 language:
-- en
+  - en
 tags:
-- image-restoration
+  - image-restoration
 ---
+
 <table>
   <tr>
     <td align="center">Input (B&W)</td>
@@ -32,7 +33,7 @@ This application provides a web-based interface for colorizing black and white i
 
 ### Prerequisites
 
-- Python 3.7 or higher ( preferred 3.10 )
+- Python 3.10
 - CUDA-capable GPU (recommended for faster processing)
 - Git, Git-Lfs
 
@@ -52,14 +53,24 @@ You can set up the environment using either Conda (recommended) or pip.
 
 ```bash
 conda env create -f environment.yml
-conda activate deoldify-env # Or whatever you named your environment
+conda activate deoldify
 ```
 
 - **Using Pip:**
 
-Make sure you have a compatible Python environment (3.7+).
+Make sure you have a compatible Python environment (3.10).
 
 ```bash
+# Create a virtual environment
+python -m venv .venv
+
+# Activate the virtual environment
+# On Windows:
+.venv\Scripts\activate
+# On macOS/Linux:
+source .venv/bin/activate
+
+# Install the required dependencies
 pip install -r requirements.txt
 ```
 
@@ -130,7 +141,8 @@ The web application provides an intuitive interface for:
 - If you encounter CUDA out-of-memory errors, try lowering the render factor
 - For best results with the artistic model, a render factor of 10-15 is recommended
 - For the stable model, a render factor of 20-25 typically works well
+- increasing the render factor consume more gpu memory.
 
 ## License
 
-This project uses DeOldify, which is licensed under MIT License.
+This project uses DeOldify, which is licensed under MIT License.

environment.yml

@@ -21,3 +21,7 @@ dependencies:
   - opencv-python>=4.2.0.32
   - wandb
   - yt-dlp
+  - fastapi==0.104.0
+  - uvicorn==0.23.2
+  - streamlit==1.27.0
+  - python-multipart==0.0.6

requirements.txt

@@ -1,3 +1,18 @@
+# -----------------------------------------------------------------------------
+# DeOldify Requirements
+#
+# This file lists the pip-installable dependencies for the DeOldify project.
+#
+# Note:
+# - This requirements file was derived from a Conda environment YAML file.
+# - Some system-level or non-Python dependencies (e.g., mkl, ffmpeg) are 
+#   not listed here and must be installed separately.
+# - Please ensure you are using Python 3.10 as specified in the original spec.
+#
+# - or just install conda and run `conda env create -f environment.yml`
+# -----------------------------------------------------------------------------
+
+
 fastapi==0.104.0
 uvicorn==0.23.2
 streamlit==1.27.0