Update README.md

README.md

@@ -23,24 +23,16 @@ It was trained using PyTorch and torchvision, and deployed on Hugging Face Space
 - **Training Data:** plant_village
 
 ## How to Use
-1. Upload an image of a leaf using the interface.  
+1. Upload an image of a leaf, and slide to your preferred prediction sharpness using the interface.  
 2. Click the "Submit" button.  
-3. View the predicted disease class and the probability score along woth your resized image.  
+3. View the diagnosis along with a visual of the top 5 most likely diseases.  
 
 ## Dependencies
 This app requires the following Python packages:
 - `torch`, `torchvision`  
 - `gradio`  
-- `pillow`, `numpy`, `matplotlib`  
+- `pillow`, `matplotlib`  
 - `pandas`, `plotly`, `datasets`  
 
 ## Deployment
-This app is deployed using **Gradio** on **Hugging Face Spaces**.  
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-Try it live here  
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+This app is deployed using **Gradio** on **Hugging Face Spaces**.