Update app.py

app.py

@@ -19,16 +19,9 @@ import inspect
 import logging
 import shutil
 
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 # Set up basic configuration for logging
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 
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 # Environment variables and configurations
 huggingface_token = os.environ.get("HUGGINGFACE_TOKEN")
 llama_cloud_api_key = os.environ.get("LLAMA_CLOUD_API_KEY")
@@ -44,9 +37,6 @@ MODELS = [
     "mistralai/Mixtral-8x7B-Instruct-v0.1",
     "@cf/meta/llama-3.1-8b-instruct",
     "mistralai/Mistral-Nemo-Instruct-2407"
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 ]
 
 # Initialize LlamaParse
@@ -525,10 +515,6 @@ After writing the document, please provide a list of sources used in your respon
                     main_content += chunk
                     yield main_content, ""  # Yield partial main content without sources
 
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 INSTRUCTION_PROMPTS = {
     "Asset Managers": "Summarize the key financial metrics, assets under management, and performance highlights for this asset management company.",
     "Consumer Finance Companies": "Provide a summary of the company's loan portfolio, interest income, credit quality, and key operational metrics.",
@@ -612,10 +598,6 @@ def vote(data: gr.LikeData):
     else:
         print(f"You downvoted this response: {data.value}")
 
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 css = """
 /* Fine-tune chatbox size */
 }
@@ -628,30 +610,6 @@ def display_documents():
         choices=[doc["name"] for doc in uploaded_documents],
         value=[doc["name"] for doc in uploaded_documents if doc["selected"]],
         label="Select documents to query or delete"
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     )
 
 def initial_conversation():