Doddi Priyambodo is committing at 2023-12-24 14:17:13

iamrich.priyambodo.com-v3.0/0_💰_IamRich_Financial_Advisor_v3.py

@@ -19,7 +19,7 @@
 def run():
     st.set_page_config(page_icon="image/usd.ico")
     st.markdown(vNoLabel, unsafe_allow_html=True)
-    st.write("# 💰 IamRich - Your Smart Personal Financial Advisor application (v3)")
+    st.write("# 💰 IamRich - Your Smart Personal Financial Advisor application (v3.0)")
     st.subheader("//IamRich is powered by Google Cloud Generative AI!")
     st.write(html_code)
 
@@ -50,7 +50,7 @@ def run():
     st.markdown(
         """
         This application is maintained by <b>Doddi Priyambodo</b> (priyambodo@google.com | doddi@bicarait.com)   
-        App Name & latest Version: <b>IamRich-v3.0.0</b>
+        App Name & latest Version: <b>IamRich-v3.0</b>
         """, unsafe_allow_html=True
     )
 

iamrich.priyambodo.com-v3.0/Dockerfile

@@ -0,0 +1,24 @@
+# Base image with Python and Poetry pre-installed
+FROM python:3.11 AS base
+
+# Install Poetry
+RUN pip install poetry
+
+# Set working directory
+WORKDIR /app
+
+# Copy project files
+COPY pyproject.toml poetry.lock ./
+
+# Install dependencies using Poetry
+RUN poetry config virtualenvs.create false \
+    && poetry install --no-interaction --no-ansi
+
+# Copy application code
+COPY . .
+
+# Expose port for Streamlit
+EXPOSE 8080
+
+# Set entrypoint to start Streamlit
+ENTRYPOINT ["streamlit", "run", "0_💰_IamRich_Financial_Advisor_v3.py", "--server.port=8080", "--server.address=0.0.0.0"]

iamrich.priyambodo.com-v3.0/Dockerfile-using_poetry

@@ -0,0 +1,24 @@
+# Base image with Python and Poetry pre-installed
+FROM python:3.11 AS base
+
+# Install Poetry
+RUN pip install poetry
+
+# Set working directory
+WORKDIR /app
+
+# Copy project files
+COPY pyproject.toml poetry.lock ./
+
+# Install dependencies using Poetry
+RUN poetry config virtualenvs.create false \
+    && poetry install --no-interaction --no-ansi
+
+# Copy application code
+COPY . .
+
+# Expose port for Streamlit
+EXPOSE 8080
+
+# Set entrypoint to start Streamlit
+ENTRYPOINT ["streamlit", "run", "0_💰_IamRich_Financial_Advisor_v3.py", "--server.port=8080", "--server.address=0.0.0.0"]

iamrich.priyambodo.com-v3.0/Dockerfile-using_requirementstxt

@@ -0,0 +1,6 @@
+FROM python:3.8
+EXPOSE 8080
+WORKDIR /app
+COPY . ./
+RUN pip install -r requirements.txt
+ENTRYPOINT ["streamlit", "run", "0_💰_IamRich_Financial_Advisor_v3.py", "--server.port=8080", "--server.address=0.0.0.0"]

iamrich.priyambodo.com-v3.0/call_gemini.py

@@ -8,7 +8,7 @@
 from pathlib import Path as p
 from pprint import pprint
 import pandas as pd
-from pydantic import BaseModel
+#from pydantic import BaseModel
 
 # Langchain
 import langchain
@@ -38,7 +38,7 @@
 # Vertex AI
 print(f"Vertex AI SDK version: {aiplatform.__version__}")
 
-# # LLM model using LangChain
+## LLM model using LangChain
 # llm = VertexAI(
 #     model_name="text-bison@001",
 #     max_output_tokens=256,
@@ -48,7 +48,7 @@
 #     verbose=True,
 # )
 
-# # Chat
+## Chat
 # chat = ChatVertexAI()
 
 # Not using LangChain

iamrich.priyambodo.com-v3.0/pages/1_💸_Explore_a_Company_for_Investment.py

@@ -1,7 +1,8 @@
 import streamlit as st
 import call_gemini as genai
 
-st.header("Discover the financial detail and information of a Company or Stock to invest", divider="rainbow")
+#st.header("Discover the financial detail and information of a Company or Stock to invest", divider="rainbow")
+st.header("Discover the financial detail and information of a Company or Stock to invest")
 
 st.write("Powered by Google Gemini Large Language Model to explore and research for the financial information")
 st.subheader("Please enter your company name or stock symbol.")

iamrich.priyambodo.com-v3.0/pages/5_💹_Search_on_Alphabet_Financial_Docs.py

@@ -1,13 +1,7 @@
 #Import the required Libraries
 import streamlit as st
 import pandas as pd
-import matplotlib.pyplot as plt
-from typing import List
 from typing import Any
-from google.cloud import discoveryengine
-import json
-import webbrowser
-import os
 
 # Defining variables for the project
 project_id = "work-mylab-machinelearning"

iamrich.priyambodo.com-v3.0/pages/6_💾_Ask_Questions_to_Your_Database.py

@@ -105,13 +105,14 @@ def clear_all():
 
     @st.cache_data(show_spinner=False)
 
-    def submit_question():
+    def submit_question(): #the main function
         engine = get_sql_engine(source_dataset_selected)
         db = get_sql_db(engine, [table_selected])
         db_chain = get_db_chain(llm, db)
 
         t0 = time.time()
         final_prompt = GOOGLESQL_PROMPT.format(input=prompt_question, table_info=table_selected, top_k=2000000)
+        print(final_prompt)
 
         # result = db_chain.run(final_prompt)
         result = db_chain(final_prompt)
@@ -182,7 +183,8 @@ def submit_question():
                     st.warning(f"Sorry there are no Vizualisations available for this result")
 
             except Exception as e:
-                st.error(f"An Error Occurred. Check you're using the correct table!")
+                #st.error(f"An Error Occurred. Check you're using the correct table!")
+                st.error()
 
 # with tab3:
 #     st.subheader("LLM's and Langchain")

iamrich.priyambodo.com-v3.0/pages/7_🎯_Create_Marketing_Campaign_and_Story.py

@@ -1,7 +1,8 @@
 import streamlit as st
 import call_gemini as genai
 
-st.header("Create a Marketing Campaign and a Story", divider="rainbow")
+#st.header("Create a Marketing Campaign and a Story", divider="rainbow")
+st.header("Create a Marketing Campaign and a Story")
 st.write("Using Gemini Pro, Google Large Language Model ")
 
 #tab1, tab2, tab3, tab4 = st.tabs(["Generate story","Marketing campaign",  "Image Playground", "Video Playground"])

iamrich.priyambodo.com-v3.0/pages/99_🙎‍♂️_About_this_Application.py

@@ -10,7 +10,7 @@
     """
 with st.sidebar:
    st.success("Choose the menu that you would like to explore above 👆")
-   st.info("app version: IamRich v3.0.0-STABLE")
+   st.info("app version: IamRich v3.0-STABLE")
    st.image("image/doddihead.png", width=200)
    st.error("This application is created and maintained by Doddi Priyambodo")