chore:create new branch,run local pkg installation

.gitignore

@@ -1,3 +1,5 @@
+node_modules/
+*.json
 .env
 venv/
 images/

app.py

@@ -1,6 +1,49 @@
 
 import subprocess
-import os  
+import os
+import sys
+import pkg_resources
+'''
+env_name = os.path.basename(sys.prefix)
+if env_name == 'fossil':
+    subprocess.call('pip install tensorflow==2.9'.split())
+    subprocess.call('pip install keras==2.9'.split())
+    subprocess.call('pip install git+https://github.com/facebookresearch/segment-anything.git'.split()) 
+    subprocess.call('pip install opencv-python-headless==4.5.5.64'.split())
+    subprocess.call('pip install git+https://github.com/cocodataset/panopticapi.git'.split())
+    subprocess.call('pip install python-dotenv'.split())
+    subprocess.call('pip install torch torchvision '.split())
+    subprocess.call('pip install xplique'.split())
+    subprocess.call('pip install gradio'.split())
+else:
+    print("Please use venv named 'fossil' in case pkgs installed to other unexpected envs or locations.")
+
+def is_pkg_installed(pkg_name):
+    installed_pkgs = {pkg.key for pkg in pkg_resources.working_set}
+    return pkg_name.lower() in installed_pkgs
+
+packages_to_install = [
+    ('tensorflow', '2.9'),
+    ('keras', '2.9'),
+    ('opencv-python-headless', '4.5.5.64'),
+    ('python-dotenv', None),
+    ('torch', None),
+    ('torchvision', None),
+    ('xplique', None),
+]
+
+for package, version in packages_to_install:
+    package_spec = f"{package}=={version}" if version else package
+    if not is_pkg_installed(package):
+        print(f"Installing {package_spec}...")
+        subprocess.call(f"pip install {package_spec}".split())
+    else:
+        print(f"{package_spec} is already installed.")
+
+#system_setting = os.getenv('SYSTEM', 'spaces')
+#print(system_setting)
+'''
+'''
 if os.getenv('SYSTEM') == 'spaces':
     subprocess.call('pip install tensorflow==2.9'.split())
     subprocess.call('pip install keras==2.9'.split())
@@ -10,6 +53,7 @@ if os.getenv('SYSTEM') == 'spaces':
     subprocess.call('pip install python-dotenv'.split())
     subprocess.call('pip install torch torchvision '.split())
     subprocess.call('pip install xplique'.split())
+'''
 
 import gradio as gr
 from huggingface_hub import snapshot_download