Delete app.py

app.py

@@ -1,37 +0,0 @@
-import streamlit as st
-from utils import analyze_image
-from PIL import Image
-
-st.set_page_config(page_title="LUS AI App", layout="wide")
-st.title("🫁 Lung Ultrasound (LUS) AI Analysis")
-
-st.markdown("""
-Upload 1–6 lung ultrasound images (JPG/PNG).  
-This app uses **two real Hugging Face models** to:
-- Count **B-lines**
-- Detect **consolidation**
-- Calculate a **final LUS Score (0–3)** per image
-
-🧪 This is a real AI inference app — not a demo.
-""")
-
-uploaded_files = st.file_uploader("Upload Lung Ultrasound Images", type=["jpg", "jpeg", "png"], accept_multiple_files=True)
-
-if uploaded_files:
-    for idx, uploaded_file in enumerate(uploaded_files):
-        st.markdown(f"---\n### 🖼️ Image {idx + 1}: `{uploaded_file.name}`")
-        image = Image.open(uploaded_file).convert("RGB")
-        st.image(image, width=300)
-
-        # Run real inference
-        result = analyze_image(image)
-
-        # Display outputs
-        st.markdown("#### 🔍 B-line Analysis")
-        st.info(f"**Count**: {result['bline_count']}\n**Label**: {result['bline_label']}")
-
-        st.markdown("#### 🫁 Consolidation Analysis")
-        st.success(f"{result['consolidation_label']}")
-
-        st.markdown("#### 🧮 Final LUS Score")
-        st.warning(f"**Score: {result['lus_score']}** — {result['lus_interpretation']}")