Update everything

.github/workflows/main_finance-roche.yml

@@ -0,0 +1,78 @@
+# Docs for the Azure Web Apps Deploy action: https://github.com/Azure/webapps-deploy
+# More GitHub Actions for Azure: https://github.com/Azure/actions
+# More info on Python, GitHub Actions, and Azure App Service: https://aka.ms/python-webapps-actions
+
+name: Build and deploy Python app to Azure Web App - finance-roche
+
+on:
+  push:
+    branches:
+      - main
+  workflow_dispatch:
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Python version
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Create and start virtual environment
+        run: |
+          python -m venv venv
+          source venv/bin/activate
+      
+      - name: Install dependencies
+        run: pip install -r requirements.txt
+
+      # Optional: Add step to run tests here (PyTest, Django test suites, etc.)
+
+      - name: Zip artifact for deployment
+        run: zip release.zip ./* -r
+
+      - name: Upload artifact for deployment jobs
+        uses: actions/upload-artifact@v4
+        with:
+          name: python-app
+          path: |
+            release.zip
+            !venv/
+
+  deploy:
+    runs-on: ubuntu-latest
+    needs: build
+    environment:
+      name: 'Production'
+      url: ${{ steps.deploy-to-webapp.outputs.webapp-url }}
+    permissions:
+      id-token: write #This is required for requesting the JWT
+
+    steps:
+      - name: Download artifact from build job
+        uses: actions/download-artifact@v4
+        with:
+          name: python-app
+
+      - name: Unzip artifact for deployment
+        run: unzip release.zip
+
+
+      - name: Login to Azure
+        uses: azure/login@v2
+        with:
+          client-id: ${{ secrets.AZUREAPPSERVICE_CLIENTID_F6E3B347211743898CECFB3B6BC10AE6 }}
+          tenant-id: ${{ secrets.AZUREAPPSERVICE_TENANTID_0507CE3ED08D40448C3605EBF9937DFD }}
+          subscription-id: ${{ secrets.AZUREAPPSERVICE_SUBSCRIPTIONID_5B2433701C1344578C4A9EB0E957CF3C }}
+
+      - name: 'Deploy to Azure Web App'
+        uses: azure/webapps-deploy@v3
+        id: deploy-to-webapp
+        with:
+          app-name: 'finance-roche'
+          slot-name: 'Production'
+

.github/workflows/main_roche-finance-chatbot.yml

@@ -0,0 +1,78 @@
+# Docs for the Azure Web Apps Deploy action: https://github.com/Azure/webapps-deploy
+# More GitHub Actions for Azure: https://github.com/Azure/actions
+# More info on Python, GitHub Actions, and Azure App Service: https://aka.ms/python-webapps-actions
+
+name: Build and deploy Python app to Azure Web App - roche-finance-chatbot
+
+on:
+  push:
+    branches:
+      - main
+  workflow_dispatch:
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Python version
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Create and start virtual environment
+        run: |
+          python -m venv venv
+          source venv/bin/activate
+      
+      - name: Install dependencies
+        run: pip install -r requirements.txt
+
+      # Optional: Add step to run tests here (PyTest, Django test suites, etc.)
+
+      - name: Zip artifact for deployment
+        run: zip release.zip ./* -r
+
+      - name: Upload artifact for deployment jobs
+        uses: actions/upload-artifact@v4
+        with:
+          name: python-app
+          path: |
+            release.zip
+            !venv/
+
+  deploy:
+    runs-on: ubuntu-latest
+    needs: build
+    environment:
+      name: 'Production'
+      url: ${{ steps.deploy-to-webapp.outputs.webapp-url }}
+    permissions:
+      id-token: write #This is required for requesting the JWT
+
+    steps:
+      - name: Download artifact from build job
+        uses: actions/download-artifact@v4
+        with:
+          name: python-app
+
+      - name: Unzip artifact for deployment
+        run: unzip release.zip
+
+
+      - name: Login to Azure
+        uses: azure/login@v2
+        with:
+          client-id: ${{ secrets.AZUREAPPSERVICE_CLIENTID_B71F863252414000B105CC9CED5BF862 }}
+          tenant-id: ${{ secrets.AZUREAPPSERVICE_TENANTID_149C416FEB0D44C68A0091B004996DB7 }}
+          subscription-id: ${{ secrets.AZUREAPPSERVICE_SUBSCRIPTIONID_55EEE99C13E0473587DAB74E957E4E0B }}
+
+      - name: 'Deploy to Azure Web App'
+        uses: azure/webapps-deploy@v3
+        id: deploy-to-webapp
+        with:
+          app-name: 'roche-finance-chatbot'
+          slot-name: 'Production'
+

.gitignore

@@ -5,3 +5,4 @@ frontend/node_modules
 .azure/
 __pycache__/
 .ipynb_checkpoints/
+.Rproj.user

Finance.py

@@ -0,0 +1,153 @@
+import os
+import matplotlib.pyplot as plt
+import streamlit as st
+from openai import AzureOpenAI
+import base64
+from PIL import Image
+
+# Configuraciones - API de Azure OpenAI
+endpoint = os.getenv("ENDPOINT_URL", "https://cog-aoai-team-es6-ac4f.openai.azure.com/")  
+deployment = os.getenv("DEPLOYMENT_NAME", "gpt-4o")  
+search_endpoint = os.getenv("SEARCH_ENDPOINT", "https://srch-team-es6-ac4f.search.windows.net")  
+search_key = os.getenv("SEARCH_KEY", "NULL")  
+subscription_key = os.getenv("AZURE_OPENAI_API_KEY", "NULL")
+
+# Inicializar el cliente de Azure OpenAI con autenticación basada en clave
+client = AzureOpenAI(
+    azure_endpoint=endpoint,
+    api_key=subscription_key,
+    api_version="2024-05-01-preview",
+)
+
+
+#### Config Page Streamlit
+imagen = Image.open('./images/blue_logo.png')
+
+def set_bg_hack(main_bg):
+    '''
+    A function to unpack an image from root folder and set as bg.
+ 
+    Returns
+    -------
+    The background.
+    '''
+    # set bg name
+    main_bg_ext = "png"
+
+    st.markdown(
+         f"""
+         <style> 
+         .stApp {{
+             background: url(data:image/{main_bg_ext};base64,{base64.b64encode(open(main_bg, "rb").read()).decode()});
+             background-size: cover
+         }}
+         </style>
+         """,
+         unsafe_allow_html=True
+     )
+
+st.set_page_config(page_title="Finance Roche ChatBot", page_icon=imagen,layout="centered")
+
+st.logo(
+    image="./images/white_logo.png"        #/app/Design/blue_logo.png
+)
+
+set_bg_hack("./images/Finance_Background.png")
+
+##################################################################
+# Generación de resumen de salida
+def output_generation_summary(input_text, search_endpoint, search_key):    
+    if not search_endpoint or not search_key:
+        return "Error: search_endpoint o search_key no están configurados correctamente."
+
+    try:
+        # Generar la respuesta
+        completion = client.chat.completions.create(
+            model=deployment,
+            messages=input_text,
+            max_tokens=800,
+            temperature=0.7, # 0.0 
+            top_p=0.95,
+            frequency_penalty=0,
+            presence_penalty=0,
+            stream=False,
+            extra_body={
+                "data_sources": [
+                    {
+                        "type": "azure_search",
+                        "parameters": {
+                            "endpoint": search_endpoint,
+                            "index_name": "finance-group6-index-v2",
+                            "semantic_configuration": "default",
+                            "query_type": "semantic",
+                            "fields_mapping": {},
+                            "in_scope": True,
+                            "role_information": (
+                                "You are a finance expert assisting with data inquiries. If clarification is needed, "
+                                "prompt the user directly."
+                            ),
+                            "filter": None,
+                            "strictness": 3,
+                            "top_n_documents": 10,
+                            "authentication": {
+                                "type": "api_key",
+                                "key": search_key,
+                            },
+                        },
+                    }
+                ]
+            },
+        )
+        if completion and completion.choices:
+            content = completion.choices[0].message.content
+            return content
+        else:
+            return "Error: No se pudo generar la respuesta."
+
+    except Exception as e:
+        return f"Error al generar la respuesta: {e}"
+
+def test (input_text, search_endpoint, search_key):
+    return input_text   
+
+messages = [
+        {
+            "role": "system",
+            "content": (
+                "You are an AI assistant, expert in finance and help people find information about Roche.\n"
+                "Your responses must be concise and limited to one line wherever possible. Provide only the exact "
+                "answer to the user’s question without additional explanations. If the input lacks detail, prompt "
+                "for more specifics, e.g., \"Could you provide more details on…?\".\n"
+                "Answer in the user's language and avoid topics outside Roche's financial data."
+            ),
+        },        
+    ]
+
+st.title("Finance Roche ChatBot")
+st.write("Welcome to this Chatbot to manage Roche financial data.")
+
+# Inicializar el historial de preguntas y respuestas
+if 'messages' not in st.session_state:
+    st.session_state.messages = []
+
+# Mostrar el cuadro de texto con marcador de posición
+            #user_input = st.text_area("Type your financial question here:", placeholder="None")
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+#user input
+if prompt := st.chat_input("Please enter a query to get started"):
+    st.chat_message("user").markdown(prompt)
+    st.session_state.messages.append({"role": "user", "content":prompt})
+    messages.append({"role": "user","content":prompt})
+
+    #st.write(messages)
+
+    response = output_generation_summary(messages, search_endpoint, search_key)
+    #st.write(messages)
+
+    with st.chat_message("assistant"):
+        st.markdown(response)
+
+    st.session_state.messages.append({"role":"assistant","content":response})

app-aoai-chatGPT.Rproj

@@ -0,0 +1,16 @@
+Version: 1.0
+
+RestoreWorkspace: Default
+SaveWorkspace: Default
+AlwaysSaveHistory: Default
+
+EnableCodeIndexing: Yes
+UseSpacesForTab: Yes
+NumSpacesForTab: 2
+Encoding: UTF-8
+
+RnwWeave: Sweave
+LaTeX: XeLaTeX
+
+AutoAppendNewline: Yes
+StripTrailingWhitespace: Yes

app.py

@@ -861,7 +861,19 @@ async def ensure_cosmos():
 
 async def generate_title(conversation_messages) -> str:
     ## make sure the messages are sorted by _ts descending
-    title_prompt = "Summarize the conversation so far into a 4-word or less title. Do not use any quotation marks or punctuation. Do not include any other commentary or description."
+    title_prompt = (
+            "You are an AI assistant, expert in finance and helps people find information about this topic.\n"
+            "Your responses must be concise and brief so you should limit responses to one line whenever possible, "
+            "avoid adding unnecessary details or contextual information.\n"
+            "Provide only the exact answer to the user’s question or request, without additional explanations.\n"
+            "If the input lacks sufficient detail for an accurate response, ask specifically for missing information "
+            "using prompts like 'Could you provide more details on…?', 'Do you mean [brief context]?'\n"
+            "For ambiguous queries, clarify details with direct questions before responding.\n"
+            "If a topic requires extensive information, summarize in one line and offer the user the choice to request more.\n"
+            "If a question has already been answered or the user requests clarification, avoid repeating information, "
+            "responding instead with the precise data needed.\n"
+            "Detect the language of the user's question and respond in the same language, ensuring seamless communication across languages."
+        )
 
     messages = [
         {"role": msg["role"], "content": msg["content"]}

requirements.txt

@@ -1,13 +1,4 @@
-azure-identity==1.15.0
-# Flask[async]==2.3.2
-openai==1.6.1
-azure-search-documents==11.4.0b6
-azure-storage-blob==12.17.0
-python-dotenv==1.0.0
-azure-cosmos==4.5.0
-quart==0.19.4
-uvicorn==0.24.0
-aiohttp==3.9.2
-gunicorn==20.1.0
-pydantic-settings==2.2.1
-matplotlib
+openai
+streamlit
+
+