Update app.py

app.py

@@ -82,25 +82,26 @@ clothing_prompts = [
 all_prompts = []
 for cat_prompts in style_prompts.values():
     all_prompts.extend(cat_prompts)
-style_prompts_end_index = len(all_prompts) # Mark where style prompts end
+style_prompts_end_index = len(all_prompts) # Mark where style prompts end dont mess up loop
 all_prompts.extend(clothing_prompts)
 print(f"Total prompts for CLIP: {len(all_prompts)}")
 
-# Response Templates (Added a more generic 'trash' option)
+# Response Templates maybe not call out specific item all the time?
 response_templates = {
     'drippy': [
         "You're Drippy, bruh – fire {item}!", "{item} goes crazy, on god!", "Certified drippy with that {item}."
     ],
     'mid': [
         "Drop the {item} and you might get a text back.", "It's alright, but I'd upgrade the {item}.",
-        "Mid fit alert. That {item} is holding you back."
+        "Mid fit alert. That {item} is holding you back.", "We can do better come on now", "I dont think you want it enough"
     ],
     'not_drippy': [
         "Bro thought that {item} was tuff!", "Oh hell nah! Burn that {item}!",
         "Crimes against fashion, especially that {item}! Also… maybe get a haircut.",
         "Never walk out the house again with that {item}.",
         "Your drip is trash, try again.", # Generic trash response
-        "This ain't it chief. The overall style needs work." # Another generic one
+        "This ain't it chief. The overall style needs work.",
+        "Didn't need an AI to tell you to go back to the wardrobe"
     ]
 }
 CATEGORY_LABEL_MAP = { "drippy": "drippy", "mid": "mid", "not_drippy": "trash" }
@@ -251,7 +252,7 @@ def analyze_outfit(input_img: Image.Image):
             #       f"with probability {clip_detected_item_prob:.2f}")
         else:
              print("I couldn't confidently identify specific clothing items via CLIP.")
-             clip_detected_item = "fit" # Use a different fallback if CLIP fails
+             clip_detected_item = "piece" # Use a different fallback if CLIP fails
              clip_detected_item_prob = 0.0 # Ensure prob is defined
 
     except Exception as e:
@@ -390,7 +391,7 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Base(primary_hue="neutral", secon
         inputs=[input_image],
         outputs=[category_html, audio_output, response_box]
     )
-    gr.Markdown("<p>Upload, paste, or use your webcam to capture your outfit. DripAI evaluates your style using multiple AI models.</p>")
+    gr.Markdown("<p>Upload, paste, or use your camera to capture your outfit using the three icons. DripAI evaluates your style using multiple AI models.</p>")
 
 # --- Launch App ---
 if __name__ == "__main__":