degbu embeddings

app.py

@@ -15,8 +15,6 @@ from llama_index.core import (
     Settings,
 )
 
-# os.environ["OPENAI_API_KEY"] = "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"
-
 from llama_parse import LlamaParse
 
 from streamlit_pdf_viewer import pdf_viewer
@@ -84,12 +82,12 @@ def main():
                 Settings.llm = OpenAI(
                     model=llm_name, 
                     temperature=temperature,
-                    max_tokens=max_output_tokens
+                    # max_tokens=max_output_tokens
                 )
                 # Global tokenization needs to be consistent with LLM
                 # https://docs.llamaindex.ai/en/stable/module_guides/models/llms/
                 Settings.tokenizer = tiktoken.encoding_for_model(llm_name).encode
-                Settings.num_output = max_tokens
+                Settings.num_output = max_output_tokens
                 Settings.context_window = 4096 # max possible
                 Settings.embed_model = OpenAIEmbedding()
             elif provider == 'huggingface':