added app.py

app.py

@@ -0,0 +1,64 @@
+import streamlit as st
+import base64
+
+def add_bg_from_local(image_file):
+    with open(image_file, "rb") as image_file:
+        encoded_string = base64.b64encode(image_file.read())
+    st.markdown(
+    f"""
+    <style>
+    .stApp {{
+        background-image: url(data:image/{"png"};base64,{encoded_string.decode()});
+        background-repeat: repeat;
+    }}
+    </style>
+    """,
+        unsafe_allow_html=True
+    )
+
+def header_white_bg(text, fontsize = 40, bold = True):
+    st.markdown(
+        f"""
+        <span style="background:rgba(255, 255, 255, 0.8); font-size:{fontsize}px; font-weight:{"bold" if bold else "normal"}">{text}</span>
+        """,
+        unsafe_allow_html=True
+    )
+
+def diagnose_health(file):
+    return "Healthy"  # Placeholder result for demonstration purposes, waiting to integrate model
+
+
+def app():
+    add_bg_from_local('assets/background.png')
+    header_white_bg(f'<span style="color:green">Plant</span><span style="color:orange">Dx</span><span style="color:green">: Diagnosis in a Snap!</span> ')
+
+    # Upload image of plant
+    header_white_bg("Upload an image of your plant:", fontsize=32)
+    uploaded_file = st.file_uploader("", type=["jpg", "jpeg", "png"])
+
+    if uploaded_file:
+        header_white_bg("Preview of the selected image:", fontsize=28, bold=False)
+        st.image(uploaded_file)
+
+    # Get diagnosis button
+    if st.button("Get Diagnosis"):
+        if uploaded_file is not None:
+            # Diagnose plant health and display results
+            result = diagnose_health(uploaded_file)
+            st.success(f"Your plant is {result}")
+        else:
+            st.warning("Please upload an image of your plant first")
+
+    # Create user profile button
+    if st.button("Create User Profile"):
+        st.subheader("User Profile")
+        # Prompt user to add their name and the plant they own
+        user_name = st.text_input("Enter your name:")
+        plant_name = st.text_input("Enter the plant you own:")
+        if user_name and plant_name:
+            st.success(f"User profile created for {user_name} with plant {plant_name}")
+
+
+# Run Streamlit app
+if __name__ == "__main__":
+    app()