Update pages/model_1.py

pages/model_1.py

@@ -17,10 +17,6 @@ def load_model():
 with st.spinner('Model is being loaded..'):
     model = load_model()
 
-st.write("# ResNet50 Model")
-
-st.sidebar.info("You should be happy if it classifies as - Healthy plant 🙂")
-
 file = st.file_uploader("Upload the image to be classified", type=["jpg", "png"])
 st.set_option('deprecation.showfileUploaderEncoding', False)
 
@@ -40,21 +36,4 @@ def upload_predict(upload_image, model):
 
 
 if file is None:
-    st.text("Please upload an image file")
-else:
-    image = Image.open(file)
-    st.image(image, use_column_width=True)
-    
-    prediction = upload_predict(image, model)
-    predicted_result = np.argmax(prediction)
-    
-    classfiers = ['bacterial_leaf_blight','bacterial_leaf_streak','bakanae','brown_spot','grassy_stunt_virus','healthy_rice_plant',
-    'narrow_brown_spot','ragged_stunt_virus','rice_blast','rice_false_smut','sheath_blight','sheath_rot','stem_rot','tungro_virus']
-    image_class = classfiers[predicted_result]
-    confidence_score = prediction[0][predicted_result]
-
-    # Results
-    result = f"Your plant is suffering from: *{image_class}*"
-    result_score = "✅ Accurate prediction score is: {} / 100".format("%.2f"  %  confidence_score)
-    st.success(result)
-    st.info(result_score)
+    st.text("Please upload an image file")