Update app.py

app.py

@@ -31,9 +31,6 @@ except Exception as e:
     st.stop()
 
 def get_font(size=80):
-    """
-    Loads a font for image overlay. Downloads if not locally present.
-    """
     try:
         return ImageFont.truetype("font.ttf", size)
     except OSError:
@@ -45,9 +42,6 @@ def get_font(size=80):
         return ImageFont.load_default()
 
 def research_topic(topic):
-    """
-    Retrieves latest news context using Tavily Search API.
-    """
     try:
         search_result = tavily.search(query=topic, topic="news", days=2)
         results = search_result.get('results', [])
@@ -61,9 +55,6 @@ def research_topic(topic):
         return f"Research failed: {str(e)}"
 
 def generate_content(platform, topic, research_data):
-    """
-    Generates platform-specific copy using the LLM.
-    """
     if "Twitter" in platform:
         system_prompt = (
             "You are a social media ghostwriter. Write a Twitter thread based on the research provided. "
@@ -92,10 +83,6 @@ def generate_content(platform, topic, research_data):
         return f"Generation failed: {str(e)}"
 
 def generate_visual_asset(topic, platform):
-    """
-    Generates a background image via Flux.1 and overlays the headline text.
-    """
-    # Optimized prompt for clean, abstract backgrounds
     prompt = (
         f"Abstract 3D render representing {topic}, dark navy and black gradient background, "
         "glass texture, soft studio lighting, minimalist, 8k resolution, negative space, "
@@ -108,35 +95,27 @@ def generate_visual_asset(topic, platform):
         draw = ImageDraw.Draw(image)
         width, height = image.size
         
-        # Configure Typography
         font_size = 90
         font = get_font(font_size)
         
-        # Text Wrapping Logic
-        # Wraps text to fit within the image width
         lines = textwrap.wrap(topic.upper(), width=15)
         wrapped_text = "\n".join(lines)
         
-        # Calculate text bounding box to position the overlay
         bbox = draw.textbbox((0, 0), wrapped_text, font=font)
         text_height = bbox[3] - bbox[1]
         
-        # Visual Constants
         padding = 50
         box_height = text_height + (padding * 3)
         box_y = height - box_height - 100
         
-        # Draw Background Box (Semi-transparent black)
         draw.rectangle(
             [(0, box_y), (width, height)], 
             fill=(0, 0, 0, 240)
         )
         
-        # Draw Main Headline
         text_y = box_y + padding
         draw.text((padding, text_y), wrapped_text, font=font, fill="white")
         
-        # Draw Branding Footer
         small_font = get_font(30)
         draw.text((padding, height - 60), f"GENERATED FOR {platform.upper()}", font=small_font, fill="#00ff00")
         
@@ -145,8 +124,6 @@ def generate_visual_asset(topic, platform):
         print(f"Visual generation error: {e}")
         return None
 
-# --- Main Application Interface ---
-
 def main():
     st.title("NewsAgent Pro")
     st.markdown("Autonomous Multi-Modal Content Engine")
@@ -166,23 +143,20 @@ def main():
                 st.warning("Please enter a topic.")
                 return
 
-            status_container = st.status("Initializing Agent Workflow...", expanded=True)
+            # FIXED VARIABLE NAME HERE
+            status = st.status("Initializing Agent Workflow...", expanded=True)
             
-            # Step 1: Research
             status.write("Agent: Researching topic...")
             research_data = research_topic(topic_input)
             
-            # Step 2: Content Generation
             status.write("Agent: Drafting copy...")
             content_draft = generate_content(platform_choice, topic_input, research_data)
             
-            # Step 3: Visual Generation
             status.write("Agent: Designing assets...")
             visual_asset = generate_visual_asset(topic_input, platform_choice)
             
             status.update(label="Workflow Complete", state="complete")
             
-            # Persist state
             st.session_state['content'] = content_draft
             st.session_state['image'] = visual_asset
 
@@ -192,7 +166,6 @@ def main():
         if 'image' in st.session_state and st.session_state['image']:
             st.image(st.session_state['image'], use_column_width=True, caption="Generated Asset")
             
-            # Download Button for Image
             buf = io.BytesIO()
             st.session_state['image'].save(buf, format="PNG")
             st.download_button(