fix limits

app.py

@@ -23,6 +23,9 @@ MAX_QUEUE_SIZE = 4
 TIMEOUT = float(os.environ.get("TIMEOUT", 0))
 SAFETY_CHECKER = os.environ.get("SAFETY_CHECKER", None)
 
+print(f"TIMEOUT: {TIMEOUT}")
+print(f"SAFETY_CHECKER: {SAFETY_CHECKER}")
+print(f"MAX_QUEUE_SIZE: {MAX_QUEUE_SIZE}")
 
 if SAFETY_CHECKER == "True":
     pipe = DiffusionPipeline.from_pretrained(

public/index.html

@@ -112,7 +112,7 @@
                     errorEl.classList.toggle("bg-red-300", "text-red-900");
                     break;
                 case "success":
-                    errorEl.innerText = "Your 2min session has ended, please start training again.";
+                    errorEl.innerText = "Your session has ended, please start a new one.";
                     errorEl.classList.toggle("bg-green-300", "text-green-900");
                     break;
             }
@@ -203,7 +203,7 @@
                     <output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md">
                         8.0</output>
                     <label class="text-sm font-medium" for="strength">Strength</label>
-                    <input type="range" id="strength" name="strength" min="0" max="1" step="0.01" value="0.50"
+                    <input type="range" id="strength" name="strength" min="0.20" max="1" step="0.001" value="0.50"
                         oninput="this.nextElementSibling.value = Number(this.value).toFixed(2)">
                     <output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md">
                         0.5</output>