Update app.py

Respond only with in context

app.py

@@ -7,12 +7,29 @@ from llama_index import (
     Document,
     load_index_from_storage, ChatPromptTemplate,
 )
+from llama_index import set_global_service_context
+
 from llama_index.embeddings.openai import OpenAIEmbedding
 from llama_index import SimpleDirectoryReader
 from llama_index.llms import OpenAI, ChatMessage, MessageRole
 import gradio as gr
 from typing import List, cast, Optional
 
+service_context = ServiceContext.from_defaults(
+    chunk_size=1024,
+    llm=OpenAI(model="gpt-4"),
+    embed_model=OpenAIEmbedding(),
+    system_prompt="""
+        You are tasked with answering queries related to the content found within a provided PDF document. 
+        When responding to queries, you must ALWAYS utilize the tools available to you to analyze the content of the PDF.
+        NEVER provide an answer based solely on general knowledge or without employing the tools designed for this task.
+        Your responses should be informed by the information extracted from the PDF content using these tools, ensuring accuracy and relevance to the user's query. 
+        Remember, the data source for your answers is implicit in the queries you receive, and you should not reference or assume any external data sources when formulating your responses. Your primary objective is to provide precise and contextually correct information based on the PDF content analysis.
+        """,
+
+)
+
+
 # Function to load the dataframe and chat with it
 def chat_with_dataframe(question):
     storage_context = StorageContext.from_defaults(
@@ -27,6 +44,9 @@ def chat_with_dataframe(question):
     return response.response
 
 
+set_global_service_context(service_context)
+
+
 # Streamlit interface
 def main():
     st.sidebar.title('Virtimo - INUBIT')