Refactor searches, env vars fetcher config, urls webpage update

app_img_gen/README.md

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+```
+docker build -t image_generation .
+docker run --rm -it -p 12343:80 image_generation
+```
+
+```
+import requests
+import cv2
+import base64
+import numpy as np
+
+endpoint = "http://192.168.2.64:12343/image"
+
+prompt = "Majestic mountain landscape with snow-capped peaks, autumn foliage in vibrant reds and oranges, a turquoise river winding through a valley, crisp and serene atmosphere, ultra-realistic style."
+prompt = "A group of kids happily playing in a joy environment"
+#prompt = "A bitcoin behaving like a king, surrounded by small alternative coins. Detailed, geometric style"
+
+json = {
+    "prompt": prompt,
+    "num_inference_steps": 10,
+    "size": "512x512",
+    "seed": 123456,
+}
+
+for inf_step in [1, 4, 10, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100]:
+    json["num_inference_steps"] = inf_step
+
+    %time r = requests.post(endpoint, json=json)
+    print("Status code", r.status_code)
+
+    # Image
+    png_as_np = np.frombuffer(base64.b64decode(r.text), dtype=np.uint8)
+    image_bgr = cv2.imdecode(png_as_np, cv2.IMREAD_COLOR)
+
+    cv2.imwrite("sample_img_{}.png".format(json["num_inference_steps"]), image_bgr)
+```