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| import streamlit as st | |
| from pathlib import Path | |
| import google.generativeai as genai | |
| import tempfile | |
| # Function to configure and use the google.generativeai model | |
| def analyze_plant_disease(image_bytes): | |
| genai.configure(api_key="AIzaSyAVpLXDazfH6mSlo-CfMzQ4nq5YOnqEA9A") | |
| generation_config = { | |
| "temperature": 0.4, | |
| "top_p": 1, | |
| "top_k": 32, | |
| "max_output_tokens": 4096, | |
| } | |
| safety_settings = [ | |
| {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_MEDIUM_AND_ABOVE"}, | |
| {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_MEDIUM_AND_ABOVE"}, | |
| {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_MEDIUM_AND_ABOVE"}, | |
| {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_MEDIUM_AND_ABOVE"}, | |
| ] | |
| model = genai.GenerativeModel(model_name="gemini-1.0-pro-vision-latest", | |
| generation_config=generation_config, | |
| safety_settings=safety_settings) | |
| image_parts = [{"mime_type": "image/jpeg", "data": image_bytes}] | |
| prompt_parts = [ | |
| "You are a professional Plant disease detector. I'll provide an image of a leaf of a plant. Identify any disease in the plant and provide a structured response in the following format: Predicted Plant Disease: [Include name of disease, details about symptoms, affected parts etc.] Precautions: [In bullet points, List 2-3 precautionary measures to prevent this disease from occurring or spreading further] Remedies: [In bullet points, Provide 2-3 treatment methods, natural remedies or solutions that can help cure or manage this plant disease] Please ensure your response has these 3 clear sections with relevant details in each. Do not include any additional descriptive text outside the requested structure.", | |
| image_parts[0], | |
| ] | |
| response = model.generate_content(prompt_parts) | |
| return response.text | |
| # Streamlit application starts here | |
| st.title("Plant Disease Detection using Vision Techniques") | |
| st.write(""" | |
| Discover plant care made easy with Vision techniques! Our project uses new age technology to spot plant diseases through pictures. It's like having a plant doctor with large data in your pocket! Early detection, simple solutions. Keep your plants healthy! | |
| """) | |
| uploaded_image = st.file_uploader("Choose an image of a plant leaf", type=["jpeg", "jpg", "png"]) | |
| if uploaded_image is not None: | |
| with st.spinner('Analyzing the image...'): | |
| # Read the image and convert to bytes | |
| image_bytes = uploaded_image.getvalue() | |
| result = analyze_plant_disease(image_bytes) | |
| st.success("Analysis Complete") | |
| st.write(result) | |