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Update app.py
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app.py
CHANGED
@@ -1,6 +1,6 @@
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import streamlit as st
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import google.generativeai as genai
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# Set up Gemini API
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api_key = "AIzaSyAHD0FwX-Ds6Y3eI-i5Oz7IdbJqR6rN7pg"
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@@ -37,93 +37,46 @@ def generate_mindmap(notes):
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response = model.generate_content(prompt)
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return response.text
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# Button to generate mindmap
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if st.button("Generate Mindmap"):
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if lecture_notes:
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with st.spinner("Generating mindmap..."):
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else:
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st.warning("Please enter your lecture notes first.")
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# Display the mindmap if data is available
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if 'mindmap_data' in st.session_state:
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st.subheader("Generated Mindmap")
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# React component for mindmap visualization
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ReactComponent(
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component_name="MindMap",
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props={"data": st.session_state.mindmap_data},
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key="mindmap_viewer"
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)
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# React component definition (you'll need to save this in a separate file)
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st.write("""
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To use this app, you'll need to create a file named `mindmap_component.jsx` in your Streamlit app's directory with the following content:
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```jsx
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import React, { useState } from 'react';
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import { ChevronRight, ChevronDown } from 'lucide-react';
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const TreeNode = ({ node }) => {
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const [isOpen, setIsOpen] = useState(false);
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const hasChildren = node.children && node.children.length > 0;
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return (
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<div className="ml-4">
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<div
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className="flex items-center cursor-pointer hover:bg-gray-100 p-2 rounded"
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onClick={() => setIsOpen(!isOpen)}
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>
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{hasChildren && (
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<span className="mr-2">
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{isOpen ? <ChevronDown size={16} /> : <ChevronRight size={16} />}
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</span>
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)}
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<span className={`${hasChildren ? 'font-semibold' : ''}`}>{node.name}</span>
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</div>
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{isOpen && hasChildren && (
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<div className="ml-4 border-l-2 border-gray-200">
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{node.children.map((child, index) => (
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<TreeNode key={index} node={child} />
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))}
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</div>
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)}
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</div>
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);
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};
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const MindMap = ({ data }) => {
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const parsedData = typeof data === 'string' ? JSON.parse(data) : data;
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return (
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<div className="p-4 bg-white rounded-lg shadow-lg max-w-4xl mx-auto overflow-auto max-h-[600px]">
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<h2 className="text-2xl font-bold mb-4 text-center">Lecture Notes Mindmap</h2>
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<TreeNode node={parsedData} />
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</div>
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);
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};
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export default MindMap;
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```
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""")
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st.write("""
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To
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pip install streamlit google-generativeai streamlit-react
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```
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2. Save the main Python code in a file named `app.py`.
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3. Create a file named `mindmap_component.jsx` with the React component code provided above.
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4. Run the Streamlit app:
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```
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streamlit run app.py
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```
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This
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""")
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import streamlit as st
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import google.generativeai as genai
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import json
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# Set up Gemini API
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api_key = "AIzaSyAHD0FwX-Ds6Y3eI-i5Oz7IdbJqR6rN7pg"
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response = model.generate_content(prompt)
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return response.text
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# Function to display mindmap
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def display_mindmap(data, indent=0):
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if isinstance(data, str):
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try:
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data = json.loads(data)
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except json.JSONDecodeError:
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st.error("Failed to parse the generated mindmap data. Please try again.")
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return
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if isinstance(data, dict):
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st.markdown(' ' * indent + f"- **{data['name']}**")
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if 'children' in data and isinstance(data['children'], list):
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for child in data['children']:
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display_mindmap(child, indent + 1)
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elif isinstance(data, list):
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for item in data:
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display_mindmap(item, indent)
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# Button to generate mindmap
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if st.button("Generate Mindmap"):
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if lecture_notes:
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with st.spinner("Generating mindmap..."):
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try:
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mindmap_data = generate_mindmap(lecture_notes)
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st.session_state.mindmap_data = mindmap_data
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except Exception as e:
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st.error(f"An error occurred while generating the mindmap: {str(e)}")
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else:
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st.warning("Please enter your lecture notes first.")
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# Display the mindmap if data is available
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if 'mindmap_data' in st.session_state:
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st.subheader("Generated Mindmap")
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display_mindmap(st.session_state.mindmap_data)
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st.write("""
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To use this app:
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1. Paste your lecture notes into the text area.
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2. Click the "Generate Mindmap" button.
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3. The generated mindmap will be displayed below.
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This app uses Google's Gemini AI to structure your notes into a hierarchical mindmap format.
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""")
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