Update main.py

main.py

@@ -337,11 +337,21 @@ async def _call_gemini(text: str, summary_type: str) -> Tuple[Optional[str], Opt
     logger.info(f"[Gemini Primary] Generating {summary_type} summary using {GEMINI_MODEL}. Input length: {len(text)}")
 
     # Define prompts
-    if summary_type == "paragraph": prompt = ("You are an AI model designed to provide concise summaries using British English spellings. Your output MUST be:\n" "• Clear and simple language suitable for someone unfamiliar with the topic.\n" "• Uses British English spellings throughout.\n" "• Straightforward and understandable vocabulary; avoid complex terms.\n" "• Presented as ONE SINGLE PARAGRAPH.\n" "• No more than 85 words maximum; but does not have to be exactly 85.\n" "• Considers the entire text content equally.\n" "• Uses semicolons (;) instead of em dashes (– or —).\n\n" "Here is the text to summarise:")
+    if summary_type == "paragraph":
+        prompt = ("You are an AI model designed to provide concise summaries using British English spellings. Your output MUST be:\n"
+                  "• Clear and simple language suitable for someone unfamiliar with the topic.\n"
+                  "• Uses British English spellings throughout.\n"
+                  "• Straightforward and understandable vocabulary; avoid complex terms.\n"
+                  "• Presented as ONE SINGLE PARAGRAPH.\n"
+                  "• No more than 85 words maximum; but does not have to be exactly 85.\n"
+                  "• Considers the entire text content equally.\n"
+                  "• Uses semicolons (;) instead of em dashes (– or —).\n"
+                  "• **Focus ONLY on the main content; strictly EXCLUDE information about website features, subscriptions, ads, cookie notices, or navigation elements.**\n\n" # Added instruction
+                  "Here is the text to summarise:")
     else: # points summary
         prompt = ("You are an AI model designed to provide concise summaries using British English spellings. Your output MUST strictly follow this format:\n\n"
                   "• For each distinct topic or section identified in the text, create a heading.\n"
-                  "• Each heading MUST be plain text without any formatting (e.g., Section Title).\n" # MODIFIED HERE
+                  "• Each heading MUST be plain text without any formatting (e.g., Section Title).\n"
                   "• Immediately following each heading, list the key points as a bulleted list.\n"
                   "• Each bullet point MUST start with a hyphen and a space (- ) on a new line.\n"
                   "• The text within each bullet point should NOT contain any bold formatting.\n"
@@ -352,7 +362,8 @@ async def _call_gemini(text: str, summary_type: str) -> Tuple[Optional[str], Opt
                   "• Keep bullet points concise.\n"
                   "• Ensure the entire summary takes no more than two minutes to read.\n"
                   "• Consider the entire text's content, not just the beginning or a few topics.\n"
-                  "• Use semicolons (;) instead of em dashes (– or —).\n\n"
+                  "• Use semicolons (;) instead of em dashes (– or —).\n"
+                  "• **Focus ONLY on the main content; strictly EXCLUDE information about website features, subscriptions, ads, cookie notices, or navigation elements.**\n\n" # Added instruction
                   "Here is the text to summarise:")
 
     # Input Length Check (Gemini-specific limits if known, otherwise use a large default)
@@ -423,11 +434,21 @@ async def _call_openrouter(text: str, summary_type: str) -> Tuple[Optional[str],
     logger.info(f"[OpenRouter Fallback] Generating {summary_type} summary using {OPENROUTER_MODEL}. Input length: {len(text)}")
 
     # Define prompts
-    if summary_type == "paragraph": prompt = ("You are an AI model designed to provide concise summaries using British English spellings. Your output MUST be:\n" "• Clear and simple language suitable for someone unfamiliar with the topic.\n" "• Uses British English spellings throughout.\n" "• Straightforward and understandable vocabulary; avoid complex terms.\n" "• Presented as ONE SINGLE PARAGRAPH.\n" "• No more than 85 words maximum; but does not have to be exactly 85.\n" "• Considers the entire text content equally.\n" "• Uses semicolons (;) instead of em dashes (– or —).\n\n" "Here is the text to summarise:")
+    if summary_type == "paragraph":
+        prompt = ("You are an AI model designed to provide concise summaries using British English spellings. Your output MUST be:\n"
+                  "• Clear and simple language suitable for someone unfamiliar with the topic.\n"
+                  "• Uses British English spellings throughout.\n"
+                  "• Straightforward and understandable vocabulary; avoid complex terms.\n"
+                  "• Presented as ONE SINGLE PARAGRAPH.\n"
+                  "• No more than 85 words maximum; but does not have to be exactly 85.\n"
+                  "• Considers the entire text content equally.\n"
+                  "• Uses semicolons (;) instead of em dashes (– or —).\n"
+                  "• **Focus ONLY on the main content; strictly EXCLUDE information about website features, subscriptions, ads, cookie notices, or navigation elements.**\n\n" # Added instruction
+                  "Here is the text to summarise:")
     else: # points summary
         prompt = ("You are an AI model designed to provide concise summaries using British English spellings. Your output MUST strictly follow this format:\n\n"
                   "• For each distinct topic or section identified in the text, create a heading.\n"
-                  "• Each heading MUST be plain text without any formatting (e.g., Section Title).\n" # MODIFIED HERE
+                  "• Each heading MUST be plain text without any formatting (e.g., Section Title).\n"
                   "• Immediately following each heading, list the key points as a bulleted list.\n"
                   "• Each bullet point MUST start with a hyphen and a space (- ) on a new line.\n"
                   "• The text within each bullet point should NOT contain any bold formatting.\n"
@@ -438,7 +459,8 @@ async def _call_openrouter(text: str, summary_type: str) -> Tuple[Optional[str],
                   "• Keep bullet points concise.\n"
                   "• Ensure the entire summary takes no more than two minutes to read.\n"
                   "• Consider the entire text's content, not just the beginning or a few topics.\n"
-                  "• Use semicolons (;) instead of em dashes (– or —).\n\n"
+                  "• Use semicolons (;) instead of em dashes (– or —).\n"
+                  "• **Focus ONLY on the main content; strictly EXCLUDE information about website features, subscriptions, ads, cookie notices, or navigation elements.**\n\n" # Added instruction
                   "Here is the text to summarise:")
 
     # Input Length Check (OpenRouter-specific limit)
@@ -635,13 +657,14 @@ async def start(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
     user = update.effective_user; mention = user.mention_html()
     if not user or not update.message: return
     logger.info(f"User {user.id} used /start.")
-    await update.message.reply_html( f"👋 Hello {mention}! I can summarize YouTube links or website URLs.\n\nJust send me a link anytime!" )
+    await update.message.reply_html( f"👋 Hello {mention}! I can summarise YouTube links or website URLs.\n\nJust send me a link anytime!" ) # Changed 'summarize'
 
 async def help_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
     user = update.effective_user
     if not user or not update.message: return
     logger.info(f"User {user.id} used /help.")
-    help_text = ( "🔍 How to use this bot:\n\n" "1. Send me any YouTube video link or website URL.\n" "2. I'll ask you how you want it summarized (paragraph or points).\n" "3. Click the button for your choice.\n" "4. Wait for the summary!\n\n" "I'll try multiple methods to get content if the first one fails (especially for YouTube transcripts).\n\n" "Commands:\n" "`/start` - Display welcome message\n" "`/help` - Show this help message" )
+    help_text = ( "🔍 How to use this bot:\n\n" "1. Send me any YouTube video link or website URL.\n" "2. I'll ask you how you want it summarised (paragraph or points).\n" # Changed 'summarized'
+                  "3. Click the button for your choice.\n" "4. Wait for the summary!\n\n" "I'll try multiple methods to get content if the first one fails (especially for YouTube transcripts).\n\n" "Commands:\n" "`/start` - Display welcome message\n" "`/help` - Show this help message" )
     await update.message.reply_text(help_text, parse_mode=ParseMode.MARKDOWN)
 
 async def handle_potential_url(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
@@ -653,7 +676,7 @@ async def handle_potential_url(update: Update, context: ContextTypes.DEFAULT_TYP
     context.user_data['url_to_summarize'] = url; context.user_data['original_message_id'] = update.message.message_id
     keyboard = [[ InlineKeyboardButton("Paragraph Summary", callback_data="paragraph"), InlineKeyboardButton("Points Summary", callback_data="points") ]]
     reply_markup = InlineKeyboardMarkup(keyboard)
-    await update.message.reply_text( f"Okay, I see this link:\n{url}\n\nHow would you like it summarized?", reply_markup=reply_markup, disable_web_page_preview=True )
+    await update.message.reply_text( f"Okay, I see this link:\n{url}\n\nHow would you like it summarised?", reply_markup=reply_markup, disable_web_page_preview=True ) # Changed 'summarized'
 
 async def handle_summary_type_callback(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
     query = update.callback_query
@@ -761,7 +784,10 @@ async def health_check(request: Request) -> PlainTextResponse:
              if ptb_app.running: bot_info = await ptb_app.bot.get_me(); bot_status = f"Running (@{bot_info.username})"
              else: bot_status = "Initialized/Not running"
         except Exception as e: bot_status = f"Error checking status: {e}"
-    return PlainTextResponse( f"TG Bot Summarizer - Status: {bot_status}\n" f"Primary Model: {GEMINI_MODEL if _gemini_primary_enabled else 'N/A (Disabled)'}\n" f"Fallback Model: {OPENROUTER_MODEL if _openrouter_fallback_enabled else 'N/A (Disabled)'}\n" f"Apify Actor: {APIFY_ACTOR_ID if _apify_token_exists else 'N/A (No Token)'}" )
+    return PlainTextResponse( f"TG Bot Summariser - Status: {bot_status}\n" # Changed 'Summarizer'
+                              f"Primary Model: {GEMINI_MODEL if _gemini_primary_enabled else 'N/A (Disabled)'}\n"
+                              f"Fallback Model: {OPENROUTER_MODEL if _openrouter_fallback_enabled else 'N/A (Disabled)'}\n"
+                              f"Apify Actor: {APIFY_ACTOR_ID if _apify_token_exists else 'N/A (No Token)'}" )
 
 async def telegram_webhook(request: Request) -> Response:
     global WEBHOOK_SECRET