Delete app.py

app.py

@@ -1,61 +0,0 @@
-import streamlit as st
-from dotenv import load_dotenv
-
-load_dotenv()
-
-def kickoff(inputs={}):
-    # Simulate feedback processing
-    return {"feedback": [{"til": inputs["content"], "feedback": "ok"}]}
-
-def main():
-    st.markdown("<div class='container'>", unsafe_allow_html=True)
-
-    st.markdown(
-        """
-        <div class="centered">
-            <p class="title">Today I Learnt Feedback</p>
-            <p class="description">Feedback on Today I Learnt</p>
-        </div>
-        """,
-        unsafe_allow_html=True
-    )
-
-    # default_content = (
-    #     "* 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"
-    #     "* Quantization offers benefits such as reduced storage space usage and faster computation.\n"
-    #     "* Disadvantages: Answers are less precise\n"
-    #     "* I learnt how to use Go Routines to handle concurrency in React.\n"
-    # )
-
-    # # Initialize session state for the text area content if not already set
-    # if 'til_content' not in st.session_state:
-    #     st.session_state.til_content = default_content
-
-    # til_content = st.text_area(
-    #     'Enter what you learnt today:',
-    #     value=st.session_state.til_content,
-    #     key='til_content',
-    #     help='Enter what you learnt today'
-    # )
-
-    til_content = st.text_area('Enter what you learnt today:',
-                               "* 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"
-                               "* Quantization offers benefits such as reduced storage space usage and faster computation.\n"
-                               "* Disadvantages: Answers are less precise\n"
-                               "* I learnt how to use Go Routines to handle concurrency in React.\n",
-                               key='til_content', help='Enter what you learnt today')
-
-    if st.button("Get Feedback"):
-        inputs = {"content": til_content}
-        results = kickoff(inputs=inputs)
-        
-        for result in results["feedback"]:
-            st.markdown(f"#### TIL: {result['til']}")
-            st.markdown(f"**Feedback:** {result['feedback']}")
-
-        # st.session_state.til_content = til_content
-
-if __name__ == "__main__":
-    main()