new idea

app.py

@@ -30,10 +30,20 @@ model = GroqModel('llama-3.1-70b-versatile', api_key = api_key)
 
 
 
-def split_long_string(long_string, chunk_size=3500):
-    string_data =  "".join(long_string)
-    words = string_data.split()
-    chunks = [' '.join(words[i:i + chunk_size]) for i in range(0, len(words), chunk_size)]
+
+def split_into_token_chunks(text: str, max_tokens: int = 6000) -> list:
+    """
+    Splits a long string into chunks of a specified maximum number of tokens (words).
+
+    :param text: The input string to split.
+    :param max_tokens: The maximum number of tokens (words) per chunk.
+    :return: A list of strings, each containing up to `max_tokens` tokens.
+    """
+    # Split the text into words (tokens)
+    tokens = text.split()
+    
+    # Create chunks of words
+    chunks = [' '.join(tokens[i:i + max_tokens]) for i in range(0, len(tokens), max_tokens)]
     
     return chunks
 
@@ -68,7 +78,8 @@ async def ppt_content(data):
         "3. Bullet point: A list of bullet points summarizing key information on the slide. Each bullet point should be detail, long, and highlight a specific aspect of the slide's topic. ideally, limit to 3-5 points.",
         "4. Image Suggestion: A prompt for generating an image to complement the slide content. Describe the desired visual in detail, including elements, style, and relevance to the topic. Ensure the prompt is actionable for AI tools.", 
     ))
-    # listOfString = split_long_string(data)
+    listOfString = split_into_token_chunks(data)
+    print(len(listOfString))
     # for i, chunk in enumerate(listOfString):
     #     print(f"Chunk {i}:\n{chunk}\n")
 
@@ -78,7 +89,7 @@ async def ppt_content(data):
 
 
     deps :SupportDependencies = SupportDependencies(db="".join(data))
-    result_1 = agent.run_sync(user_prompt = f"Create me a powerpoint presentation from {deps.db}",deps=deps)
+    result_1 = agent.run_sync(user_prompt = f"Create me a powerpoint presentation",deps=deps)
     #print(result_1.data)
     print(result_1)