Update app/processing.py

app/processing.py

@@ -26,8 +26,35 @@ except Exception as e:
     logger.error(f"Failed to initialize Groq client: {e}")
 
 # --- Prompts ---
-SUMMARIZATION_SYSTEM_PROMPT = "..." # Keep your prompt as is
-ACTION_ITEMS_SYSTEM_PROMPT = "..." # Keep your prompt as is
+SUMMARIZATION_SYSTEM_PROMPT = """
+You are an expert AI assistant specializing in creating concise, structured, and insightful summaries of meeting and lecture transcripts. Your goal is to distill the most critical information into a format that is easy to read and act upon.
+
+Instructions:
+1.  **Identify Core Themes**: Begin by identifying the main topics and objectives discussed.
+2.  **Extract Key Decisions**: Pinpoint any decisions that were made, including the rationale behind them if available.
+3.  **Highlight Main Outcomes**: Detail the primary results or conclusions reached during the discussion.
+4.  **Structure the Output**: Present the summary in a clean, professional format. Use bullet points for clarity.
+5.  **Maintain Neutrality**: The summary should be objective and free of personal interpretation or bias and JSON.
+"""
+ACTION_ITEMS_SYSTEM_PROMPT = """
+You are a highly specialized AI assistant tasked with identifying and extracting actionable tasks, commitments, and deadlines from a meeting or lecture transcript. Your output must be clear, concise, and formatted as a JSON object.
+
+Instructions:
+1.  **Identify Actionable Language**: Scan the text for phrases indicating a task, such as "will send," "is responsible for," "we need to," "I'll follow up on," etc.
+2.  **Extract Key Components**: For each action item, identify the assigned person (if mentioned), the specific task, and any deadlines.
+3.  **Format as JSON**: Return a single JSON object with a key "action_items". The value should be a list of strings, where each string is a clearly defined action item.
+4.  **Be Precise**: If no specific person is assigned, state the action generally. If no deadline is mentioned, do not invent one.
+5.  **Handle No Actions**: If no action items are found, return a JSON object with an empty list: {"action_items": []}.
+
+Example Output:
+{
+  "action_items": [
+    "Alice will send the final budget report by Friday.",
+    "Bob is responsible for updating the project timeline.",
+    "The marketing strategy needs to be finalized by next week's meeting."
+  ]
+}
+"""
 
 # --- Core Functions ---
 
@@ -104,18 +131,22 @@ async def run_pipeline(task_id: str, file_path: Path, tasks_db: dict):
         
         summary_task = asyncio.to_thread(
             groq_client.chat.completions.create,
-            model="llama3-70b-8192",
+            model="qwen/qwen3-32b",
             messages=[{"role": "system", "content": SUMMARIZATION_SYSTEM_PROMPT}, {"role": "user", "content": full_transcript}],
             temperature=0.2,
+            reasoning_effort="default",
+            reasoning_format: "hidden"
             max_tokens=1024
         )
         
         action_item_task = asyncio.to_thread(
             groq_client.chat.completions.create,
-            model="llama3-70b-8192",
+            model="qwen/qwen3-32b",
             messages=[{"role": "system", "content": ACTION_ITEMS_SYSTEM_PROMPT}, {"role": "user", "content": full_transcript}],
             temperature=0.1,
+            reasoning_effort="default",
             max_tokens=1024,
+            reasoning_format: "hidden"
             response_format={"type": "json_object"}
         )