moved imports

app.py

@@ -3,25 +3,13 @@ import os
 import tiktoken
 import streamlit as st
 
-from llama_index.llms.gemini import Gemini
-from llama_index.llms.huggingface import HuggingFaceLLM
-from llama_index.llms.huggingface_api import HuggingFaceInferenceAPI 
-from llama_index.llms.mistralai import MistralAI
-from llama_index.llms.openai import OpenAI
-
-from llama_index.embeddings.openai import OpenAIEmbedding
-from llama_index.embeddings.huggingface import HuggingFaceEmbedding, HuggingFaceInferenceAPIEmbedding
-from llama_index.embeddings.mistralai import MistralAIEmbedding
-
+# from llama_index.llms.gemini import Gemini
 from llama_index.core import (
     VectorStoreIndex,
     Settings,
 )
 
 from llama_parse import LlamaParse
-
-from transformers import AutoTokenizer
-
 from streamlit_pdf_viewer import pdf_viewer
 
 MAX_OUTPUT_TOKENS = 2048  
@@ -97,6 +85,10 @@ def main():
                 raise NotImplementedError(f"{provider} is not supported yet")
             elif provider == 'huggingface':
                 if llm_name is not None and embed_name is not None:
+                    from llama_index.llms.huggingface_api import HuggingFaceInferenceAPI 
+                    from llama_index.embeddings.huggingface import HuggingFaceInferenceAPIEmbedding
+                    from transformers import AutoTokenizer
+
                     os.environ['HFTOKEN'] = str(llm_key)
                     Settings.llm = HuggingFaceInferenceAPI(
                         model_name=llm_name, 
@@ -114,6 +106,9 @@ def main():
                     )
                     Settings.context_window = 4096 
             elif provider == 'mistralai':
+                from llama_index.llms.mistralai import MistralAI
+                from llama_index.embeddings.mistralai import MistralAIEmbedding
+
                 os.environ['MISTRAL_API_KEY'] = str(llm_key)
                 Settings.llm = MistralAI(
                     model=llm_name, 
@@ -130,6 +125,9 @@ def main():
                 )
                 Settings.context_window = 4096 # max possible
             elif provider == 'openai':
+                from llama_index.llms.openai import OpenAI
+                from llama_index.embeddings.openai import OpenAIEmbedding
+
                 os.environ["OPENAI_API_KEY"] = str(llm_key)
                 Settings.llm = OpenAI(
                     model=llm_name,