Merge pull request #16 from beautiful-code/restructure

.streamlit/config.toml

@@ -0,0 +1,2 @@
+[theme]
+base="light"

README.md

@@ -1,6 +1,6 @@
 ---
 title: AI Workflows
-app_file: main.py
+app_file: ui/main.py
 sdk: streamlit
 sdk_version: 1.35.0
 pinned: false
@@ -25,5 +25,5 @@ python_version: 3.11.0
 
 
 ### Running on local
-* Streamlit app `streamlit run main.py`
+* Streamlit app `streamlit run ui_main.py`
 * FastAPI app `uvicorn endpoints:app --port=8080`

api.py

@@ -1,13 +0,0 @@
-import streamlit as st
-
-def main():
-    st.title("Growthy API Documentation")
-    
-    st.markdown("## Swagger UI")
-    st.markdown('<iframe src="http://127.0.0.1:8000/documentation" width="100%" height="600px"></iframe>', unsafe_allow_html=True)
-    
-    st.markdown("## ReDoc")
-    st.markdown('<iframe src="http://127.0.0.1:8000/redoc" width="100%" height="1000px"></iframe>', unsafe_allow_html=True)
-
-if __name__ == '__main__':
-    main()

endpoints.py

@@ -37,8 +37,8 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
-@app.get("/til_feedback", tags=["til_feedback"])
-async def til_feedback_kickoff(content: List[str] = Query(...)) -> til.TilFeedbackResponse:
+@app.post("/til_feedback", tags=["til_feedback"])
+async def til_feedback_kickoff(content: List[str]) -> til.TilFeedbackResponse:
     separator = "\n* "
     content[0] = "* " + content[0]
     inputs = {"content": separator.join(content)}

app.py → ui/article_recommendation.py

@@ -49,7 +49,7 @@ def main():
                 "Disadvantages of Quantization: Less precise.\n\n",
                 height=400,
             )
-            st.markdown("")  
+            st.markdown("")
             submitted = st.form_submit_button("Submit")
 
     if submitted:

test.py → ui/til_feedback.py

@@ -19,17 +19,10 @@ def main():
         unsafe_allow_html=True
     )
     til_content = st.text_area('Enter what you learnt today:',
-                               "I went through the following course on quantization of LLM: https://www.deeplearning.ai/short-courses/quantization-in-depth/ and here are my insights: \n"
                                "* Quantization is the process of reducing the size of LLM models by reducing the underlying weights.\n"
                                "* The weights are reduced by scaling down the datatypes from a datatype that takes larger space to a data type that takes a smaller space, this is also known as downcasting.\n"
                                "* Advantages: takes lesser space and increases compute speed\n"
-                               "* Disadvantages: Answers are less precise\n\n"
-                               "My notes on Synthetic data:\n"
-                               "* Why is it needed? Product Testing, Training ML Algos, Reduced constraints when using reglated data.\n"
-                               "* Types: Fully Synthetic data, Partially Synthetic data\n"
-                               "* Varities: Text, Tabular, Media.\n"
-                               "* Benchmarks to consider: Accuracy, Privacy\n"
-                               "* Techniques: Statistical distribution, Agent to model, Using Deep Learning/Generative AI, Synthetic Minority Oversampling Technique.",
+                               "* Disadvantages: Answers are less precise\n",
                                key='til_content', help='Enter what you learnt today')
 
     if st.button("Get Feedback"):

main.py → ui_main.py

@@ -2,9 +2,9 @@ import streamlit as st
 from dotenv import load_dotenv
 from streamlit_extras.stylable_container import stylable_container
 from PIL import Image
-from app import main as article_recommendor_main
-from research_paper import main as research_article_suggester_main
-from test import main as feedback_main
+from ui.article_recommendation import main as article_recommendor_main
+from ui.research_paper import main as research_article_suggester_main
+from ui.til_feedback import main as feedback_main
 
 load_dotenv()
 
@@ -16,7 +16,7 @@ def load_css(file_name):
         return f.read()
 
 def main():
-   
+
     if 'page' not in st.session_state:
         st.session_state.page = "main"
 
@@ -31,7 +31,7 @@ def main():
 
 def show_main_page():
 
-    css = load_css("main.css")
+    css = load_css("ui/main.css")
     st.markdown(f"<style>{css}</style>", unsafe_allow_html=True)
 
     st.markdown('<div class="main-title">Welcome to the Multi-Page App!</div>', unsafe_allow_html=True)
@@ -44,7 +44,7 @@ def show_main_page():
         {"title": "Feedback", "description": "Provide your valuable feedback.", "key": "feedback"},
     ]
 
-    num_cols = 3 
+    num_cols = 3
     num_rows = (len(card_info) + num_cols - 1) // num_cols
 
     with stylable_container(
@@ -67,9 +67,9 @@ def show_main_page():
                         with stylable_container(
                             key="inside_container_with_border",
                             css_styles="""
-                                {    
-                                    height: 500px; 
-                                    background-color: #f8f9fa;                                   
+                                {
+                                    height: 500px;
+                                    background-color: #f8f9fa;
                                     border-radius: 10px;
                                     box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.1);
                                     display: flex;