improve prompt

app.py

@@ -7,10 +7,13 @@ import nest_asyncio
 import pdfplumber
 import os
 
+
 api_key = os.getenv("API_KEY")
 data = []
 
 
+
+
 model = GroqModel('llama-3.1-70b-versatile', api_key = api_key)
 
 def split_long_string(long_string, chunk_size=6000):
@@ -20,13 +23,15 @@ def split_long_string(long_string, chunk_size=6000):
 async def ppt_content(data):
     agent = Agent(model,system_prompt=(
         "You are an expert in making power-point perssentation",
+        "Create 6 sliders",
+        "Each slide should be seperate"
         "Title Slide: Include the document's title, subtitle, author, and date.",
         "Methodology Slide: Summarize the methodology in detail",
         "Results Slide: Present key findings in detail in simple text and bullet points.",
         "Discussion Slide: Summarize the implications and limitations.",
         "Conclusion Slide: State the overall conclusion.",
         "Reference Slide: Include all citations used.",
-        "Create 6 sliders",
+        
     ))
     listOfString = split_long_string("".join(data))
     print(len(listOfString))
@@ -39,12 +44,8 @@ async def ppt_content(data):
     
     result_1 = agent.run_sync(user_prompt = listOfString[0])
     result_2 = agent.run_sync(user_prompt = listOfString[1],message_history=result_1.new_messages())
-    result_3 = agent.run_sync(user_prompt = listOfString[2],message_history=result_2.new_messages())
-    result_4 = agent.run_sync(user_prompt = listOfString[3],message_history=result_3.new_messages())
-    result_5 = agent.run_sync(user_prompt = listOfString[4],message_history=result_4.new_messages())
-    result_6 = agent.run_sync(user_prompt = listOfString[5],message_history=result_5.new_messages())
 
-    print(result_6.data)
+    print(result_2.data)
 
 def ai_ppt(data):
     asyncio.run(ppt_content(data=data))