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app.py

@@ -26,87 +26,27 @@ def on_btn_click():
 
 
 def main():
-    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"
-    )
-    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>'},
-            {
-                "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(" Image Prediction (Computer Vision)")
+    option = st.selectbox(" ImageNet / CoCo", [" ImageNet ", " CoCo"])
+    value = st.slider(" Threshold", min_value=0, max_value=100, value=50, key=62)
+    (
+        col1,
+        col2,
+    ) = st.columns(2)
+    with col1:
+        if st.checkbox(" Remove Noise"):
+            st.write("Checkbox checked!")
+    with col2:
+        if st.checkbox(" Increase Resolution"):
+            st.write("Checkbox checked!")
+    uploaded_file = st.file_uploader("Choose a file", type=["jpg", "png", "mp3"])
+    if st.button(" Predict"):
+        st.write("Button clicked!")
+    st.subheader(" Original vs Predicted")
+    image_comparison(
+        img1="https://www.imgonline.com.ua/examples/red-yellow-flower.jpg",
+        img2="https://lettatai.sirv.com/imgonline-com-ua-Negative-lYz1br1SWE.jpg",
     )
-    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__":