Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,26 @@
-import altair as alt
-import numpy as np
-import pandas as pd
+import sys
+sys.path.append("src")
+
+from agent import AccentAgent
+
 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:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-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])),
-    ))
+st.set_page_config(page_title="AI Accent Agent", layout="centered")
+st.title("🧠 AI Agent: Accent Classifier")
+st.markdown("Record your voice and let our AI agent handle the rest! 🤖")
+
+duration = st.slider("⏱️ Recording Duration (seconds)", 3, 10, 5)
+
+if st.button("🎙️ Start Agent"):
+    agent = AccentAgent(duration=duration)
+
+    with st.spinner("Agent is processing..."):
+        try:
+            result = agent.run()
+
+            st.audio(result["audio_path"], format="audio/wav")
+            st.success(f"🎯 **Detected Accent:** {result['accent']}")
+            st.markdown(f"📝 **Transcribed Text:** {result['transcription']}")
+
+        except Exception as e:
+            st.error(f"❌ Agent Error: {e}")