Refine UI layout and GOAT inference call

- Add margin and padding classes to improve results display layout
- Modify GOAT inference function to handle image input more flexibly
- Add print statement for debugging image input in GOAT inference

app.py

@@ -201,25 +201,25 @@ def generate_results_html(results):
     html_content = f"""
     <link href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css" rel="stylesheet">
     <div class="container">
-        <div class="row mt-4">
+        <div class="row mt-4 px-2">
             <div class="col">
-                <h5>SwinV2/detect <span class="badge badge-secondary">M1</span></h5>
+                <h5>SwinV2/detect <span class="badge badge-secondary ml-1">M1</span></h5>
                 <p>{results[0][3]}</p>
             </div>
             <div class="col">
-                <h5>ViT/AI-vs-Real <span class="badge badge-secondary">M2</span></h5>
+                <h5>ViT/AI-vs-Real <span class="badge badge-secondary ml-1">M2</span></h5>
                 <p>{results[1][3]}</p>
             </div>
             <div class="col">
-                <h5>Swin/SDXL <span class="badge badge-secondary">M3</span></h5>
+                <h5>Swin/SDXL <span class="badge badge-secondary ml-1">M3</span></h5>
                 <p>{results[2][3]}</p>
             </div>
             <div class="col">
-                <h5>Swin/SDXL-FLUX <span class="badge badge-secondary">M4</span></h5>
+                <h5>Swin/SDXL-FLUX <span class="badge badge-secondary ml-1">M4</span></h5>
                 <p>{results[3][3]}</p>
             </div>
             <div class="col">
-                <h5>GOAT <span class="badge badge-secondary">M5</span></h5>
+                <h5>GOAT <span class="badge badge-secondary ml-1">M5</span></h5>
                 <p>{results[4][3]}</p>
             </div>
         </div>

utils/goat.py

@@ -2,10 +2,11 @@ import os
 import requests
 import json
 
-def call_inference(img_bytes):
+def call_inference(img):
     files = {
-        'image': ('image.jpg', img_bytes, 'image/jpeg')
+        'image': ('image.jpg', img, 'image/jpeg')
     }
+    print(img)
     
     response = requests.post(
         "https://aiwb-sightmodel.web.val.run",