Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,54 @@
-import altair as alt
-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:
-"""
-
-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])),
-    ))
+import tensorflow as tf
+from PIL import Image
+import numpy as np
+import base64
+from tensorflow.keras.models import load_model as keras_load_model
+
+# Set Streamlit page config
+st.set_page_config(page_title="Vegetable Classifier", page_icon="🥦", layout="centered")
+
+# Optional: Set background color
+def set_bg_color(color="#f0fff0"):
+    st.markdown(f"""<style>
+        .stApp {{
+            background-color: {color};
+        }}
+    </style>""", unsafe_allow_html=True)
+
+# Optional: Background image
+def add_bg_image(image_file):
+    with open(image_file, "rb") as f:
+        encoded = base64.b64encode(f.read()).decode()
+    st.markdown(f"""
+        <style>
+        .stApp {{
+            background-image: url("data:image/png;base64,{encoded}");
+            background-size: cover;
+        }}
+        </style>
+    """, unsafe_allow_html=True)
+
+# Class labels
+class_names = [
+    'Bean', 'Bitter_Gourd', 'Bottle_Gourd', 'Brinjal', 'Broccoli',
+    'Cabbage', 'Capsicum', 'Carrot', 'Cauliflower', 'Cucumber',
+    'Papaya', 'Potato', 'Pumpkin', 'Radish', 'Tomato'
+]
+
+# Load model safely
+@st.cache_resource
+def load_model_safe():
+    try:
+        model = load_model("vegetable_cnn_improved (2).h5", compile=False)
+        return model
+    except Exception as e:
+        st.error(f"❌ Error loading model: {e}")
+        return None
+
+# Load the model
+model = load_model_safe()
+
+# UI
+set_bg_color()
+st.markdown("<h1 style='text-align:center;'>🥦 Vegetable Image Classifier 🥕</h1>", unsafe_allow_html=True)