Upload 3 files

best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:920cea4150ca7a0ece69cf5baeafbd4ab3f8621fd2c863b2026f94ee33eecc78
+size 11057851

garden.py

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+import streamlit as st
+from PIL import Image
+from groq import Groq
+from streamlit_chat import message
+from ultralytics import YOLO
+
+
+def load_model():
+    model = YOLO('best.pt')
+    return model
+
+# Set up API key
+GROQ_API = "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"
+client = Groq(api_key=GROQ_API)
+
+def chatbot_response(user_input):
+    chat_completion = client.chat.completions.create(
+        messages=[
+            {"role": "system", "content": "You are a helpful assistant who assists with gardening queries accurately."},
+            {"role": "user", "content": user_input}
+        ],
+        model="llama-3.3-70b-versatile",
+    )
+    return chat_completion.choices[0].message.content
+
+def classify_plant_disease(image, model):
+    results = model(image)
+    probs = results[0].probs  # Get the probability object
+    predicted_class_index = probs.top1  # Get index of the highest probability class
+    predicted_class_name = results[0].names[predicted_class_index]
+    labels = predicted_class_name
+    confs = probs.top1conf.item()
+    return [labels, confs]
+
+# Custom CSS for enhanced UI
+def add_custom_css():
+    st.markdown(
+        """
+        <style>
+            .main {background-color: #f0fff0;}
+            .stButton>button {border-radius: 12px; padding: 10px 20px;}
+            .nav-bar {background: #2e8b57; padding: 15px; border-radius: 10px; text-align: center;}
+            .nav-bar a {margin: 0 15px; color: white; font-size: 18px; text-decoration: none; font-weight: bold;}
+            .chat-container {background: #fff; padding: 20px; border-radius: 12px; box-shadow: 0px 0px 10px rgba(0,0,0,0.2);}
+            .chat-bubble {margin-bottom: 10px; padding: 10px 15px; border-radius: 12px;}
+            .user {background: #cce5ff; align-self: flex-end;}
+            .bot {background: #d4edda;}
+        </style>
+        """,
+        unsafe_allow_html=True,
+    )
+
+# UI Layout
+st.set_page_config(page_title="Smart Gardener AI", page_icon="🌿", layout="wide")
+add_custom_css()
+
+# Navigation Bar
+st.markdown(
+    """
+    <div class='nav-bar'>
+        <a href='/?Home'>🏡 Home</a>
+        <a href='/?Plant Disease Classifier'>🌱 Classifier</a>
+        <a href='/?Chatbot'>🤖 Chatbot</a>
+    </div>
+    """,
+    unsafe_allow_html=True,
+)
+
+# Sidebar Navigation
+st.sidebar.title("Navigation")
+page = st.sidebar.radio("Go to", ["Home", "Plant Disease Classifier", "Chatbot"])
+
+if page == "Home":
+    st.title("🌿 Welcome to Green Doctor")
+    st.markdown("### Your AI-powered Gardening Assistant")
+    st.image("https://source.unsplash.com/800x400/?garden,plants")
+    st.write("Green Doctor helps you identify plant diseases and offers expert gardening advice using AI-powered image classification and a smart chatbot.")
+    st.markdown("- **Identify plant diseases** with high accuracy.")
+    st.markdown("- **Get expert gardening tips** for healthy plant care.")
+    st.markdown("- **Chat with our AI bot** for real-time assistance.")
+    st.markdown("[Explore Classifier](/?Plant Disease Classifier)", unsafe_allow_html=True)
+
+elif page == "Plant Disease Classifier":
+    st.title("🌱 Plant Disease Classifier")
+    uploaded_file = st.file_uploader("Upload an image", type=["jpg", "png", "jpeg"], key="classifier")
+    if uploaded_file:
+        image = Image.open(uploaded_file)
+        st.image(image, caption="Uploaded Image", width=500)
+        model = load_model()
+        label, confs = classify_plant_disease(image, model)
+        
+        if label:
+                st.subheader("Results")
+            
+                st.write(f"**Disease:** {label} \n\n **Confidence:** {confs*100:.2f}%")
+                response = chatbot_response(f"What are the prevention, cure, and symptoms for the {label} disease in plants with two points in each?")
+                st.write("### Suggested Actions:")
+                st.write(response)
+        
+
+elif page == "Chatbot":
+    st.title("🤖 Gardening Assistant Chatbot")
+    st.markdown("### Ask anything about gardening!")
+    chat_history = st.session_state.get("chat_history", [])
+    user_input = st.chat_input("Ask something")
+    
+    if user_input:
+        bot_response = chatbot_response(user_input)
+        chat_history.append(("You", user_input))
+        chat_history.append(("Bot", bot_response))
+        st.session_state["chat_history"] = chat_history
+    
+    # st.markdown("<div class='chat-container'>", unsafe_allow_html=True)
+    for sender, messages in chat_history:
+        if sender == "You":
+            message(messages,is_user=True)
+        else:
+            message(messages)
+    # st.markdown("</div>", unsafe_allow_html=True)
+    
+st.markdown("[Back to Home](/?Home)")

requirements.txt

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+streamlit
+flask
+requests
+groq
+pillow
+ultralytics
+streamlit-chat