Create app.py

app.py

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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)