Sephack

scenarios/incubations/copilot/data/dataprep/command_run.txt

@@ -0,0 +1,12 @@
+SET AZURE_STORAGE_ACCOUNT=""
+SET AZURE_STORAGE_CONTAINER="content"
+SET AZURE_SEARCH_SERVICE="cogsearch001"
+SET AZURE_OPENAI_SERVICE="openai002"
+SET AZURE_OPENAI_EMB_DEPLOYMENT="text-embedding-ada-002"
+SET AZURE_FORMRECOGNIZER_RESOURCE_GROUP="rg-azure-search-demo-dev"
+SET AZURE_FORMRECOGNIZER_SERVICE="cog-fr-tyf3apvjit5gg"
+SET AZURE_TENANT_ID="0fbe7234-45ea-498b-b7e4-1a8b2d3be4d9"
+SET AZURE_SEARCH_ADMIN_KEY=""
+SET AZURE_SEARCH_INDEX_NAME=""
+
+python prepdocs.py "../EVA_documents/*/*.pdf" --storageaccount "%AZURE_STORAGE_ACCOUNT%" --container "%AZURE_STORAGE_CONTAINER%" --searchservice "%AZURE_SEARCH_SERVICE%" --openaiservice "%AZURE_OPENAI_SERVICE%" --openaideployment "%AZURE_OPENAI_EMB_DEPLOYMENT%" --searchkey "%AZURE_SEARCH_ADMIN_KEY%" --index "%AZURE_SEARCH_INDEX_NAME%" --formrecognizerservice "%AZURE_FORMRECOGNIZER_SERVICE%" --tenantid "%AZURE_TENANT_ID%" -v

scenarios/incubations/copilot/data/dataprep/requirements.txt

@@ -0,0 +1,7 @@
+pypdf==3.9.0
+azure-identity==1.13.0
+azure-search-documents==11.4.0b8
+azure-ai-formrecognizer==3.2.1
+azure-storage-blob==12.14.1
+openai[datalib]==0.27.8
+tenacity==8.2.2

scenarios/incubations/copilot/requirements.txt

@@ -4,4 +4,6 @@ streamlit-extras
 python-dotenv 
 plotly
 scipy
-scikit-learn
+scikit-learn
+azure-search-documents==11.4.0b10
+faiss-cpu

scenarios/incubations/copilot/smart_agent/copilot.py

@@ -0,0 +1,85 @@
+import streamlit as st
+from streamlit_extras.add_vertical_space import add_vertical_space
+from utils import PERSONA, AVAILABLE_FUNCTIONS, FUNCTIONS_SPEC, Smart_Agent, add_to_cache
+import sys
+import time
+import random
+import os
+from pathlib import Path  
+import json
+with open('./user_profile.json') as f:
+    user_profile = json.load(f)
+functions = FUNCTIONS_SPEC.copy()
+# functions[0]["parameters"]["properties"]["products"]["description"] = functions[0]["parameters"]["properties"]["products"]["description"].format(products=user_profile['products'])
+
+agent = Smart_Agent(persona=PERSONA.format(username=user_profile['username']),functions_list=AVAILABLE_FUNCTIONS, functions_spec=functions, init_message=f"Hi {user_profile['username']}, this is Maya, technical specialist helping with questions about networking and system, what can I do for you?")
+
+st.set_page_config(layout="wide",page_title="Enterprise Copilot- A demo of Copilot application using GPT")
+styl = f"""
+<style>
+    .stTextInput {{
+      position: fixed;
+      bottom: 3rem;
+    }}
+</style>
+"""
+st.markdown(styl, unsafe_allow_html=True)
+
+
+MAX_HIST= 5
+# Sidebar contents
+with st.sidebar:
+    st.title('Tech Copilot')
+    st.markdown('''
+    This is a demo of Copilot Concept for Enterprise Networking Technical Support.
+
+    ''')
+    add_vertical_space(5)
+    st.write('Created by James N')
+    if st.button('Clear Chat'):
+
+        if 'history' in st.session_state:
+            st.session_state['history'] = []
+
+    if 'history' not in st.session_state:
+        st.session_state['history'] = []
+    if 'input' not in st.session_state:
+        st.session_state['input'] = ""
+
+
+user_input= st.chat_input("You:")
+
+## Conditional display of AI generated responses as a function of user provided prompts
+history = st.session_state['history']
+
+if len(history) > 0:
+    for message in history:
+        if message.get("role") != "system" and message.get("name") is  None:
+            with st.chat_message(message["role"]):
+                    st.markdown(message["content"])
+else:
+    history, agent_response = agent.run(user_input=None)
+    with st.chat_message("assistant"):
+        st.markdown(agent_response)
+    user_history=[]
+if user_input:
+    with st.chat_message("user"):
+        st.markdown(user_input)
+    stream_out, query_used, history, agent_response = agent.run(user_input=user_input, conversation=history, stream=False)
+    with st.chat_message("assistant"):
+        if stream_out:
+            message_placeholder = st.empty()
+            full_response = ""
+            for response in agent_response:
+                if len(response.choices)>0:
+                    full_response += response.choices[0].delta.get("content", "")
+                    message_placeholder.markdown(full_response + "▌")
+            message_placeholder.markdown(full_response)
+            if query_used: #add to cache
+                add_to_cache(query_used, full_response)
+                print(f"query {query_used} added to cache")
+            history.append({"role": "assistant", "content": full_response})
+        else:
+            st.markdown(agent_response)
+
+st.session_state['history'] = history

scenarios/incubations/copilot/smart_agent/requirements.txt

@@ -0,0 +1,9 @@
+streamlit
+openai
+streamlit-extras
+python-dotenv 
+plotly
+scipy
+scikit-learn
+azure-search-documents==11.4.0b9
+faiss-cpu

scenarios/incubations/copilot/smart_agent/user_profile.json

@@ -0,0 +1 @@
+{"products":"ExtremeCloud, AP3000, AP302W, AP305C, AP305CX, 7720", "username":"John Doe"}