Increase annotation marker size and remove emojis

- Increase circle radius from 1/80 to 1/50 of image size (min 25px)
- Increase font size from 1/40 to 1/25 of image size (min 32px)
- Increase white border thickness from 2px to 4px
- Increase circle outline width from 2px to 3px
- Remove all emojis from app.py and README.md for cleaner UI
- Keep HuggingFace metadata emoji field intact

These changes make annotation markers much more visible on satellite imagery.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

README.md

@@ -10,7 +10,7 @@ pinned: false
 short_description: Professional satellite imagery intelligence analysis
 ---
 
-# 🛰️ SATINT Analyst
+# SATINT Analyst
 
 Professional satellite imagery intelligence analysis powered by Meta Llama 3.2 Vision 90B. This application provides expert-level SATINT (Satellite Intelligence) analysis of overhead imagery with objective, uncensored assessments.
 

app.py

@@ -33,7 +33,7 @@ def draw_annotations(image, annotations):
 
     # Try to load a better font, fall back to default if not available
     try:
-        font_size = max(20, min(width, height) // 40)
+        font_size = max(32, min(width, height) // 25)
         font = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", font_size)
     except:
         font = ImageFont.load_default()
@@ -44,12 +44,12 @@ def draw_annotations(image, annotations):
         x = int(ann['x'] * width)
         y = int(ann['y'] * height)
 
-        # Circle radius based on image size
-        radius = max(15, min(width, height) // 80)
+        # Circle radius based on image size (larger for better visibility)
+        radius = max(25, min(width, height) // 50)
 
-        # Draw outer circle (white border)
+        # Draw outer circle (white border) - thicker for better visibility
         draw.ellipse(
-            [(x - radius - 2, y - radius - 2), (x + radius + 2, y + radius + 2)],
+            [(x - radius - 4, y - radius - 4), (x + radius + 4, y + radius + 4)],
             fill='white',
             outline='white'
         )
@@ -59,7 +59,7 @@ def draw_annotations(image, annotations):
             [(x - radius, y - radius), (x + radius, y + radius)],
             fill='red',
             outline='white',
-            width=2
+            width=3
         )
 
         # Draw number
@@ -210,7 +210,7 @@ Remember: The annotations will be numbered automatically in the order you list t
                 if "ANNOTATIONS:" not in analysis_text:
                     # Model didn't provide annotations section
                     error_msg = """
-⚠️ **ANNOTATION MODE ERROR**
+**ANNOTATION MODE ERROR**
 
 The AI model did not provide an ANNOTATIONS: section in its response.
 This means it didn't follow the annotation format instructions.
@@ -244,7 +244,7 @@ Try again, or use Text Only mode for standard analysis.
                                 annotated_image = draw_annotations(image, annotations)
 
                                 # Add annotation count to the analysis
-                                annotation_count_msg = f"\n\n**✓ {len(annotations)} annotation(s) marked on image**\n\n"
+                                annotation_count_msg = f"\n\n**{len(annotations)} annotation(s) marked on image**\n\n"
 
                                 # Clean up the analysis text to remove JSON section
                                 # Keep only the analysis part
@@ -256,14 +256,14 @@ Try again, or use Text Only mode for standard analysis.
                                         analysis_text = analysis_text[12:].strip()
                             else:
                                 # Annotations array was empty
-                                analysis_text = "\n\n⚠️ **No annotations provided by AI model**\n\n" + analysis_text
+                                analysis_text = "\n\n**WARNING: No annotations provided by AI model**\n\n" + analysis_text
 
                 return analysis_text, annotated_image
 
             except Exception as e:
                 # If annotation parsing fails, return original image with a detailed note
                 error_msg = f"""
-⚠️ **ANNOTATION MODE ERROR**
+**ANNOTATION MODE ERROR**
 
 The AI model's response could not be parsed for annotations. This usually happens when:
 - The model doesn't return properly formatted JSON
@@ -290,7 +290,7 @@ Error details: {str(e)}
 # Create Gradio interface
 with gr.Blocks(title="SATINT Analyst - Satellite Imagery Analysis", theme=gr.themes.Soft()) as demo:
     gr.Markdown("""
-    # 🛰️ SATINT Analyst
+    # SATINT Analyst
     ### Professional Satellite Imagery Intelligence Analysis
 
     Upload satellite imagery and receive professional intelligence analysis from an AI-powered SATINT analyst.
@@ -340,7 +340,7 @@ with gr.Blocks(title="SATINT Analyst - Satellite Imagery Analysis", theme=gr.the
         with gr.Column(scale=1):
             gr.Markdown("### Intelligence Analysis")
             with gr.Row():
-                copy_btn = gr.Button("📋 Copy to Clipboard", size="sm", scale=0)
+                copy_btn = gr.Button("Copy to Clipboard", size="sm", scale=0)
             analysis_output = gr.Markdown(
                 value="*Analysis will appear here...*",
                 height=600,