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app.py

@@ -26,59 +26,87 @@ def on_btn_click():
 
 
 def main():
-    st.title(" Stock Forecasting App")
-    uploaded_file = st.file_uploader("Choose a file", type=["jpg", "png", "mp3"])
-    value = st.slider(
-        " Select Horizon Period", min_value=0, max_value=100, value=50, key=69
+    st.title(" Simple LLM Chat Box")
+    from streamlit_chat import message
+    from streamlit.components.v1 import html
+
+    audio_path = (
+        "https://docs.google.com/uc?export=open&id=16QSvoLWNxeqco_Wb2JvzaReSAw5ow6Cl"
     )
-    value = st.slider(" Folds", min_value=0, max_value=100, value=50, key=17)
-    if st.button(" start"):
-        st.write("Button clicked!")
-    st.title(" Training")
-    (
-        col1,
-        col2,
-    ) = st.columns(2)
-    with col1:
-        st.table(
+    img_path = "https://www.groundzeroweb.com/wp-content/uploads/2017/05/Funny-Cat-Memes-11.jpg"
+    markdown = """### HTML in markdown is ~quite~ **unsafe**
+<blockquote>However, if you are in a trusted environment (you trust the markdown). You can use allow_html props to enable support for html.</blockquote>
+* Lists
+* [ ] todo
+* [x] done
+
+Math:
+
+Lift($L$) can be determined by Lift Coefficient ($C_L$) like the following
+equation.
+
+$$
+L = \\frac{1}{2} \\rho v^2 S C_L
+$$
+
+~~~py
+import streamlit as st
+
+st.write("Python code block")
+~~~
+
+~~~js
+console.log("Here is some JavaScript code")
+~~~
+"""
+    table_markdown = """A Table:
+| Feature     | Support              |
+| ----------: | :------------------- |
+| CommonMark  | 100%                 |
+| GFM         | 100% w/ `remark-gfm` |
+"""
+    youtube_embed = """<iframe width="400" height="215" src="https://www.youtube.com/embed/LMQ5Gauy17k" title="YouTube video player" frameborder="0" allow="accelerometer; encrypted-media;"></iframe>"""
+    st.session_state.setdefault(
+        "past",
+        [
+            "plan text with line break",
+            'play the song "Dancing Vegetables"',
+            "show me image of cat",
+            "and video of it",
+            "show me some markdown sample",
+            "table in markdown",
+        ],
+    )
+    st.session_state.setdefault(
+        "generated",
+        [
+            {"type": "normal", "data": "Line 1 \n Line 2 \n Line 3"},
+            {"type": "normal", "data": f'<audio controls src="{audio_path}"></audio>'},
             {
-                "Country": ["USA", "Canada", "UK", "Australia"],
-                "Population (millions)": [331, 38, 66, 25],
-                "GDP (trillion USD)": [22.675, 1.843, 2.855, 1.488],
-            }
-        )
-    with col2:
-        data = {"key": "value", "name": "John Doe", "age": 30}
-        st.json(data)
-    st.title(" Forecast")
-    (
-        col1,
-        col2,
-    ) = st.columns(2)
-    with col1:
-        st.line_chart(
-            pd.DataFrame(
-                {
-                    "Apple": yf.download("AAPL", start="2023-01-01", end="2023-07-31")[
-                        "Adj Close"
-                    ],
-                    "Google": yf.download(
-                        "GOOGL", start="2023-01-01", end="2023-07-31"
-                    )["Adj Close"],
-                    "Microsoft": yf.download(
-                        "MSFT", start="2023-01-01", end="2023-07-31"
-                    )["Adj Close"],
-                }
-            )
-        )
-    with col2:
-        data = pd.DataFrame(
-            {"X": [1, 2, 3, 4, 5], "Y1": [10, 16, 8, 14, 12], "Y2": [5, 8, 3, 6, 7]}
-        )
-        st.area_chart(data)
-    st.bar_chart(
-        pd.DataFrame(np.random.randn(20, 3), columns=["Apple", "Banana", "Cherry"])
+                "type": "normal",
+                "data": f'<img width="100%" height="200" src="{img_path}"/>',
+            },
+            {"type": "normal", "data": f"{youtube_embed}"},
+            {"type": "normal", "data": f"{markdown}"},
+            {"type": "table", "data": f"{table_markdown}"},
+        ],
     )
+    st.title("Chat placeholder")
+    chat_placeholder = st.empty()
+    with chat_placeholder.container():
+        for i in range(len(st.session_state["generated"])):
+            message(st.session_state["past"][i], is_user=True, key=f"{i}_user")
+            message(
+                st.session_state["generated"][i]["data"],
+                key=f"{i}",
+                allow_html=True,
+                is_table=True
+                if st.session_state["generated"][i]["type"] == "table"
+                else False,
+            )
+        st.button("Clear message", on_click=on_btn_click)
+    with st.container():
+        st.text_input("User Input:", on_change=on_input_change, key="user_input")
 
 
 if __name__ == "__main__":