Update app.py

app.py

@@ -47,7 +47,7 @@ tone_categories = {
     "Hopeful": ["optimism", "better future", "faith", "confidence", "looking forward"]
 }
 
-# Frame categories with keywords
+# Frame categories for fallback method
 frame_categories = {
     "Human Rights & Justice": ["rights", "law", "justice", "legal", "humanitarian"],
     "Political & State Accountability": ["government", "policy", "state", "corruption", "accountability"],
@@ -57,6 +57,13 @@ frame_categories = {
     "Environmental Crisis & Activism": ["climate", "deforestation", "water", "pollution", "sustainability"],
     "Anti-Extremism & Anti-Violence": ["extremism", "violence", "hate speech", "radicalism", "mob attack"],
     "Social Inequality & Economic Disparities": ["class privilege", "labor rights", "economic", "discrimination"],
+    "Activism & Advocacy": ["justice", "rights", "demand", "protest", "march", "campaign", "freedom of speech"],
+    "Systemic Oppression": ["discrimination", "oppression", "minorities", "marginalized", "exclusion"],
+    "Intersectionality": ["intersecting", "women", "minorities", "struggles", "multiple oppression"],
+    "Call to Action": ["join us", "sign petition", "take action", "mobilize", "support movement"],
+    "Empowerment & Resistance": ["empower", "resist", "challenge", "fight for", "stand up"],
+    "Climate Justice": ["environment", "climate change", "sustainability", "biodiversity", "pollution"],
+    "Human Rights Advocacy": ["human rights", "violations", "honor killing", "workplace discrimination", "law reform"]
 }
 
 # Detect language
@@ -100,7 +107,7 @@ def categorize_frames(frame_list):
     for i, (frame, count) in enumerate(sorted_frames):
         if i == 0:  # Highest frequency frame
             categorized_frames["Major Focus"].append(frame)
-        elif i < 5:  # Top 3 most mentioned frames
+        elif i < 3:  # Top 3 most mentioned frames
             categorized_frames["Significant Focus"].append(frame)
         else:
             categorized_frames["Minor Mention"].append(frame)