Update app.py

app.py

@@ -3,13 +3,13 @@ from transformers import pipeline
 from PIL import Image
 from streamlit_extras.add_vertical_space import add_vertical_space
 
-# Load a flower classification model from Hugging Face or your custom model
+
 flower_pipeline = pipeline(task="image-classification", model="microsoft/resnet-50")
 
-# Page Layout
+
 st.set_page_config(page_title="Flower Identifier 🌸", layout="wide", page_icon="🌼")
 
-# Page Header
+
 st.markdown(
     """
     <div style="text-align: center; padding: 10px;">
@@ -20,7 +20,7 @@ st.markdown(
     unsafe_allow_html=True
 )
 
-# File Upload Section
+
 file_name = st.file_uploader("Upload a flower image 📸", type=["jpg", "jpeg", "png"])
 
 add_vertical_space(1)
@@ -28,7 +28,6 @@ add_vertical_space(1)
 if file_name is not None:
     col1, col2 = st.columns([1, 2])
 
-    # Display the uploaded image with shadow effect
     image = Image.open(file_name)
     col1.image(
         image, 
@@ -37,21 +36,21 @@ if file_name is not None:
         output_format="auto"
     )
 
-    # Display predictions
+
     predictions = flower_pipeline(image)
 
     col2.markdown("### 🌺 Predictions & Confidence Levels")
     
     for p in predictions:
         col2.write(f"**{p['label']}**")
-        col2.progress(p["score"])  # Progress bar for probabilities
+        col2.progress(p["score"])
+
 
-# Footer
 st.markdown(
     """
     <hr style="border-top: 3px solid #40916C;">
     <div style="text-align: center;">
-        <p style="color: #1B4332;">Powered by Hugging Face Transformers 🌿</p>
+        <p style="color: #1B4332;">Powered by AgentsValley 🌿</p>
     </div>
     """, 
     unsafe_allow_html=True