Update app.py

app.py

@@ -51,6 +51,12 @@ def one_hot_decoding(labels):
   for i in id_list:
     true_labels.append(id2label[i])
   return true_labels
+    
+title = "Amazon Forest Satellite Image Classification for Landscape Analysis"
+description = """
+The bot was trained to classify satellite images of the entire Amazon rainforest. You will need to upload task specific satellite images and the bot will classify roads, forest, agriculure areas and much more!
+<img src="https://huggingface.co/spaces/subhuatharva/Satellite_Image_Classification/tree/main/sample_images/forst.jpg" width=400px>
+"""
 
 def model_output(image):
   #image = cv2.imread(image)
@@ -74,6 +80,6 @@ def model_output(image):
 
   return output_text
 
-app = gr.Interface(fn=model_output, inputs="image", outputs="text", examples=[["sample_images/train_142.jpg"], ["sample_images/train_75.jpg"], ["sample_images/train_92.jpg"]])
+app = gr.Interface(fn=model_output, inputs="image", outputs="text", examples=[["sample_images/train_142.jpg"], ["sample_images/train_75.jpg"],["sample_images/train_32.jpg"], ["sample_images/train_59.jpg"], ["sample_images/train_67.jpg"], ["sample_images/train_92.jpg"]])
 app.launch(debug=True)