Update src/streamlit_app.py

src/streamlit_app.py

@@ -3,38 +3,21 @@ import numpy as np
 import pandas as pd
 import streamlit as st
 
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
+import streamlit as st
+from emotion_detector import detect_emotion
 
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
+st.set_page_config(page_title="Real-Time Emotion to Emoji", page_icon="🎧")
+st.title("🎧 Real-Time Emotion to Emoji")
 
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
+st.markdown("""
+Upload a 5-second **WAV** audio clip of your voice, and the AI will detect your emotion and show an emoji!
+""")
 
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
+uploaded_file = st.file_uploader("📤 Upload your 5-second WAV audio", type=["wav"])
 
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
+if uploaded_file is not None:
+    st.audio(uploaded_file, format='audio/wav')
 
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+    with st.spinner("Detecting emotion..."):
+        emotion, emoji = detect_emotion(uploaded_file)
+        st.markdown(f"## {emoji} Emotion: **{emotion.title()}**")