Update app.py

app.py

@@ -4,11 +4,11 @@ from keras.models import load_model
 import numpy as np
 
 # Load the pre-trained model from the local path
-model_path = 'Mango.h5'
+model_path = 'chilli.h5'
 model = load_model(model_path)  # Load the model here
 
 def predict_disease(image_file, model, all_labels):
-    
+
     try:
         # Load and preprocess the image
         img = load_img(image_file, target_size=(224, 224))  # Use load_img from tensorflow.keras.utils
@@ -24,53 +24,11 @@ def predict_disease(image_file, model, all_labels):
         predicted_label = all_labels[predicted_class]
 
         # Print the predicted label to the console
-        
-        if predicted_label=='Mango Anthracrose':
-            predicted_label = """<style>
-                      li{
-                        font-size: 15px;
-                        margin-left: 90px;
-                        margin-top: 15px;
-                        margin-bottom: 15px;
-                      }
-                      h4{
-                        font-size: 17px;
-                        margin-top: 15px;
-                      }
-                      h4:hover{
-                        cursor: pointer;
-                      }
-
-                      h3:hover{
-                        cursor: pointer;
-                        color: blue;
-                        transform: scale(1.3);
-                      }
-                      .note{
-                        text-align: center;
-                        font-size: 16px;
-                      }
-                      p{
-                        font-size: 13px;
-                        text-align: center;
-                      }
-
-                </style>
-                <h3><center><b>Mango Anthracrose</b></center></h3>
-                <h4>PESTICIDES TO BE USED:</h4>
-                <ul>
-                    <li>1. Mancozeb</li>
-                    <li>2. Azoxystrobin</li>
-                    <li>3. carbendazim</li>
-                    <li>4. Propiconazole</li>
-                    <li>5. Thiophanate-methyl</li>
-                    <li>6. Copper Sulfate</li>
-                </ul><br>
-                <p class="note"><b>* * * IMPORTANT NOTE * * *</b></p>
-                <p>Be sure to follow local regulations and guidelines for application</p>
 
-            """
-        elif predicted_label=='Mango Bacterial Canker':
+        if predicted_label=='Chilli Healthy':
+            predicted_label = predicted_label = """<h3 align="center">Chilli Healthy</h3><br><br>
+          <center>No need use Pesticides</center>"""
+        elif predicted_label=='Chilli Yellowish':
             predicted_label = """
             <style>
                       li{
@@ -102,70 +60,23 @@ def predict_disease(image_file, model, all_labels):
                       }
 
                 </style>
-                <h3><center><b>Mango Bacterial Canker</b></center></h3>
+                <h3><center><b>Chilli Yellowish</b></center></h3>
                 <h4>PESTICIDES TO BE USED:</h4>
                 <ul>
-                    <li>1. Copper Hydroxide</li>
-                    <li>2. Copper Oxychloride</li>
-                    <li>3. Streptomycin</li>
-                    <li>4. oxytetracycline</li>
-                    <li>5. Neem oil</li>
-                    <li>6. Garlic oil</li>
-                </ul>
-                <p class="note"><b>* * * IMPORTANT NOTE * * *</b></p>
-                <p>Be sure to follow local regulations and guidelines for application</p>
-
-
-            """
-        elif predicted_label=='Mango Cutting Weevil':
-            predicted_label = """
-            <style>
-                      li{
-                        font-size: 15px;
-                        margin-left: 90px;
-                        margin-top: 15px;
-                        margin-bottom: 15px;
-                      }
-                      h4{
-                        font-size: 17px;
-                        margin-top: 15px;
-                      }
-                      h4:hover{
-                        cursor: pointer;
-                      }
+                    <li>1. Chlorothalonil (Daconil)</li>
+                    <li>2. Mancozeb (Dithane)</li>
+                    <li>3. Copper oxychloride (Kocide)</li>
+                    <li>4. Azoxystrobin (Heritage)</li>
+                    <li>5. Pyraclostrobin (Cabrio)</li>
 
-                      h3:hover{
-                        cursor: pointer;
-                        color: blue;
-                        transform: scale(1.3);
-                      }
-                      .note{
-                        text-align: center;
-                        font-size: 16px;
-                      }
-                      p{
-                        font-size: 13px;
-                        text-align: center;
-                      }
 
-                </style>
-                <h3><center><b>Mango Cutting Weevil</b></center></h3>
-                <h4>PESTICIDES TO BE USED:</h4>
-                <ul>
-                    <li>1. Imidacloprid</li>
-                    <li>2. Thiamethoxam</li>
-                    <li>3. Chlorpyrifos</li>
-                    <li>4. Lambda-cyhalothrin</li>
-                    <li>5. Fipronil</li>
-                    <li>6. Neem oil</li>
                 </ul>
                 <p class="note"><b>* * * IMPORTANT NOTE * * *</b></p>
                 <p>Be sure to follow local regulations and guidelines for application</p>
 
 
             """
-
-        elif predicted_label=='Mango Die Back':
+        elif predicted_label=='Chilli whitefly':
             predicted_label = """
             <style>
                       li{
@@ -197,22 +108,22 @@ def predict_disease(image_file, model, all_labels):
                       }
 
                 </style>
-                <h3><center><b>Mango Die Back</b></center></h3>
+                <h3><center><b>Chilli whitefly</b></center></h3>
                 <h4>PESTICIDES TO BE USED:</h4>
                 <ul>
-                    <li>1. Carbendazim</li>
-                    <li>2. Mancozeb</li>
+                    <li>1. Copper oxychloride (Kocide)</li>
+                    <li>2. Mancozeb(Dithane)</li>
                     <li>3. Azoxystrobin</li>
-                    <li>4. Triazole</li>
-                    <li>5. Potassium bicarbonate</li>
-                    <li>6. Sodium bicarbonate</li>
+                    <li>4. Chlorothalonil</li>
+
+
                 </ul>
                 <p class="note"><b>* * * IMPORTANT NOTE * * *</b></p>
                 <p>Be sure to follow local regulations and guidelines for application</p>
 
 
             """
-        elif predicted_label=='Mango Gall Midge':
+        elif predicted_label=='Chilli leaf Spot':
             predicted_label = """
             <style>
                       li{
@@ -244,22 +155,22 @@ def predict_disease(image_file, model, all_labels):
                       }
 
                 </style>
-                <h3><center><b>Mango Gall Midge</b></center></h3>
+                <h3><center><b>Chilli leaf Spot</b></center></h3>
                 <h4>PESTICIDES TO BE USED:</h4>
                 <ul>
-                    <li>1. Imidacloprid</li>
-                    <li>2. Thiamethoxam</li>
-                    <li>3. Chlorpyrifos</li>
-                    <li>4. Lambda-cyhalothrin</li>
-                    <li>5. Spinosad</li>
-                    <li>6. Pyrethrin</li>
+                    <li>1. Copper oxychloride (Kocide)</li>
+                    <li>2. Mancozeb(Dithane)</li>
+                    <li>3. Azoxystrobin</li>
+                    <li>4. Chlorothalonil</li>
+
+
                 </ul>
                 <p class="note"><b>* * * IMPORTANT NOTE * * *</b></p>
                 <p>Be sure to follow local regulations and guidelines for application</p>
 
 
             """
-        elif predicted_label=='Mango Powdery Mildew':
+        elif predicted_label=='Chilli Leaf Curl':
             predicted_label = """
             <style>
                       li{
@@ -291,72 +202,26 @@ def predict_disease(image_file, model, all_labels):
                       }
 
                 </style>
-                <h3><center><b>Mango Powdery Mildew</b></center></h3>
+                <h3><center><b>Chilli Leaf Curl</b></center></h3>
                 <h4>PESTICIDES TO BE USED:</h4>
                 <ul>
-                    <li>1. Sulfur</li>
-                    <li>2. Bicarbonates</li>
-                    <li>3. Myclobutanil</li>
-                    <li>4. Triadimefon</li>
-                    <li>5. Propiconazole</li>
-                    <li>6. Azoxystrobin</li>
-                </ul>
-                <p class="note"><b>* * * IMPORTANT NOTE * * *</b></p>
-                <p>Be sure to follow local regulations and guidelines for application</p>
-
-
-            """
-
-        elif predicted_label=='Mango Sooty Mould':
-            predicted_label = """
-                <style>
-                      li{
-                        font-size: 15px;
-                        margin-left: 90px;
-                        margin-top: 15px;
-                        margin-bottom: 15px;
-                      }
-                      h4{
-                        font-size: 17px;
-                        margin-top: 15px;
-                      }
-                      h4:hover{
-                        cursor: pointer;
-                      }
+                    <li>1. Copper oxychloride (Kocide)</li>
+                    <li>2. Mancozeb(Dithane)</li>
+                    <li>3. Azoxystrobin</li>
+                    <li>4. Chlorothalonil</li>
 
-                      h3:hover{
-                        cursor: pointer;
-                        color: blue;
-                        transform: scale(1.3);
-                      }
-                      .note{
-                        text-align: center;
-                        font-size: 16px;
-                      }
-                      p{
-                        font-size: 13px;
-                        text-align: center;
-                      }
 
-                </style>
-                <h3><center><b>Mango Sooty Mould</b></center></h3>
-                <h4>PESTICIDES TO BE USED:</h4>
-                <ul>
-                    <li>1. Imidacloprid (Neonicotinoid)</li>
-                    <li>2. Thiamethoxam (Neonicotinoid)</li>
-                    <li>3. Bifenthrin (Pyrethroid)</li>
-                    <li>4. Lambda-cyhalothrin (Pyrethroid)</li>
-                    <li>5. Insecticidal soap</li>
-                    <li>6. Horticultural oil</li>
                 </ul>
                 <p class="note"><b>* * * IMPORTANT NOTE * * *</b></p>
                 <p>Be sure to follow local regulations and guidelines for application</p>
 
 
             """
+
+
         else:
-          predicted_label = """<h3 align="center">Mango Healthy</h3><br><br>
-          <center>No need use Pesticides</center>"""
+          predicted_label = """<h3 align="center">Choose Correct image</h3><br><br>
+          """
 
         return predicted_label
 
@@ -367,14 +232,10 @@ def predict_disease(image_file, model, all_labels):
 
 # List of class labels
 all_labels = [
-    'Mango Anthracrose',
-    'Mango Bacterial Canker',
-    'Mango Cutting Weevil',
-    'Mango Die Back',
-    'Mango Gall Midge',
-    'Mango Healthy',
-    'Mango Powdery Mildew',
-    'Mango Sooty Mould'
+    'Chilli Yellowish',
+    'Chilli whitefly',
+    'Chilli leaf Spot','Chilli Leaf Curl',
+    'Chilli Healthy'
 ]
 
 # Define the Gradio interface
@@ -386,7 +247,7 @@ gr_interface = gr.Interface(
     fn=gradio_predict,  # Function to call for predictions
     inputs=gr.Image(type="filepath"),  # Upload image as file path
     outputs="html",  # Output will be the class label as text
-    title="""<center>Mango Disease Predictor</center>""",
+    title="Chilli Disease Predictor",
     description="Upload an image of a plant to predict the disease.",
 )