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Update app.py
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app.py
CHANGED
@@ -1,6 +1,7 @@
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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 = "AIzaSyBbusXSbq7JTI8Sa7vjGqu-h2zluKhDpX8"
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@@ -11,7 +12,7 @@ model = genai.GenerativeModel(
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model_name="gemini-1.5-pro-latest",
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generation_config=genai.GenerationConfig(
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temperature=0.2,
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max_output_tokens=
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)
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@@ -21,23 +22,50 @@ st.title("Lecture Notes Mindmap Generator")
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# Text area for input
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lecture_notes = st.text_area("Paste your lecture notes here:", height=300)
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def generate_mindmap(notes):
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prompt = f"""
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Create a hierarchical mindmap structure from the following lecture notes.
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The structure should be in JSON format, with each node having a 'name' and optional 'children' array.
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{notes}
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Return only the JSON structure, without any additional text or explanation.
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"""
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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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@@ -45,7 +73,7 @@ def display_mindmap(data, indent=0):
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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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@@ -58,12 +86,28 @@ def display_mindmap(data, indent=0):
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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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@@ -76,7 +120,9 @@ 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.
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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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import streamlit as st
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import google.generativeai as genai
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import json
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import time
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# Set up Gemini API
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api_key = "AIzaSyBbusXSbq7JTI8Sa7vjGqu-h2zluKhDpX8"
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model_name="gemini-1.5-pro-latest",
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generation_config=genai.GenerationConfig(
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temperature=0.2,
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max_output_tokens=2048
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)
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)
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# Text area for input
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lecture_notes = st.text_area("Paste your lecture notes here:", height=300)
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def generate_mindmap_step(notes, current_mindmap=None):
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prompt = f"""
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Create or extend a hierarchical mindmap structure from the following lecture notes.
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The structure should be in JSON format, with each node having a 'name' and optional 'children' array.
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If a current mindmap is provided, extend it. Otherwise, start a new one.
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Focus on creating a comprehensive structure, but limit your response to about 1500 tokens.
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Current mindmap (if any):
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{json.dumps(current_mindmap) if current_mindmap else "None"}
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Lecture notes:
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{notes}
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Return only the JSON structure, without any additional text or explanation.
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If you haven't covered all the content, include a node named "MORE_CONTENT_PENDING" at the end.
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"""
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try:
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response = model.generate_content(prompt)
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mindmap_step = json.loads(response.text)
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return mindmap_step, "MORE_CONTENT_PENDING" in str(mindmap_step)
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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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return None, False
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def merge_mindmaps(base, extension):
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if not base:
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return extension
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def merge_nodes(node1, node2):
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if 'children' not in node1:
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node1['children'] = []
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if 'children' in node2:
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for child in node2['children']:
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existing = next((n for n in node1['children'] if n['name'] == child['name']), None)
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if existing:
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merge_nodes(existing, child)
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else:
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node1['children'].append(child)
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merge_nodes(base, extension)
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return base
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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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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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# 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... This may take a few minutes."):
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full_mindmap = None
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more_content = True
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iteration = 0
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while more_content and iteration < 10: # Limit to 10 iterations as a safeguard
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iteration += 1
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st.text(f"Processing iteration {iteration}...")
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step_mindmap, more_content = generate_mindmap_step(lecture_notes, full_mindmap)
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if step_mindmap:
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full_mindmap = merge_mindmaps(full_mindmap, step_mindmap)
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time.sleep(20) # Respect API rate limit
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else:
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break
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if full_mindmap:
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st.session_state.mindmap_data = json.dumps(full_mindmap)
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st.success("Mindmap generated successfully!")
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else:
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st.error("Failed to generate the complete mindmap. Please try again.")
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else:
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st.warning("Please enter your lecture notes first.")
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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. Wait for the mindmap to be generated (this may take a few minutes).
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4. 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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It processes the notes in multiple steps to handle large inputs and complex structures.
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""")
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