Update app.py
Browse files
app.py
CHANGED
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@@ -3,7 +3,6 @@ import google.generativeai as genai
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import requests
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import subprocess
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import os
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import pylint
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import pandas as pd
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import numpy as np
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from sklearn.model_selection import train_test_split
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@@ -67,15 +66,18 @@ def generate_response(user_input):
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def optimize_code(code):
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# Use abstract syntax tree for advanced code analysis
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# Run pylint for additional suggestions
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with open("temp_code.py", "w") as file:
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@@ -122,31 +124,119 @@ def analyze_code_quality(code):
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return prediction.item() # Return the probability of needing improvement
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def visualize_code_structure(code):
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# Streamlit UI setup
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st.set_page_config(page_title="Advanced AI Code Assistant", page_icon="π", layout="wide")
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st.markdown('<div class="main-container">', unsafe_allow_html=True)
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st.title("π Advanced AI Code Assistant")
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@@ -164,27 +254,35 @@ if st.button("Generate Advanced Code"):
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st.error(completed_text)
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else:
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optimized_code, lint_results = optimize_code(completed_text)
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quality_score = analyze_code_quality(optimized_code)
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st.success(f"Code generated and optimized successfully! Quality Score: {quality_score:.2f}")
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st.markdown('<div class="output-container">', unsafe_allow_html=True)
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st.markdown('<div class="code-block">', unsafe_allow_html=True)
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st.code(optimized_code)
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st.markdown('</div>', unsafe_allow_html=True)
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with st.expander("View Code Structure Visualization"):
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st.pyplot(visualize_code_structure(optimized_code))
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with st.expander("View Lint Results"):
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st.text(lint_results)
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with st.expander("Fetch Similar Code from GitHub"):
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github_results = fetch_from_github(prompt)
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for item in github_results:
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st.markdown(f"[{item['name']}]({item['html_url']})")
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st.markdown("""
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<div style='text-align: center; margin-top: 2rem; color: #4a5568;'>
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import requests
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import subprocess
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import os
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import pandas as pd
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import numpy as np
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from sklearn.model_selection import train_test_split
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def optimize_code(code):
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# Use abstract syntax tree for advanced code analysis
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try:
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tree = ast.parse(code)
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analyzer = CodeAnalyzer()
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analyzer.visit(tree)
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# Apply code transformations based on analysis
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transformer = CodeTransformer(analyzer.get_optimizations())
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optimized_tree = transformer.visit(tree)
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optimized_code = ast.unparse(optimized_tree)
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except SyntaxError as e:
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return code, f"SyntaxError: {str(e)}"
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# Run pylint for additional suggestions
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with open("temp_code.py", "w") as file:
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return prediction.item() # Return the probability of needing improvement
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def visualize_code_structure(code):
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try:
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tree = ast.parse(code)
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graph = nx.DiGraph()
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def add_nodes_edges(node, parent=None):
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node_id = id(node)
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graph.add_node(node_id, label=type(node).__name__)
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if parent:
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graph.add_edge(id(parent), node_id)
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for child in ast.iter_child_nodes(node):
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add_nodes_edges(child, node)
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add_nodes_edges(tree)
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plt.figure(figsize=(12, 8))
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pos = nx.spring_layout(graph)
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nx.draw(graph, pos, with_labels=True, node_color='lightblue', node_size=1000, font_size=8, font_weight='bold')
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labels = nx.get_node_attributes(graph, 'label')
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nx.draw_networkx_labels(graph, pos, labels, font_size=6)
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return plt
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except SyntaxError:
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return None
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# Streamlit UI setup
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st.set_page_config(page_title="Advanced AI Code Assistant", page_icon="π", layout="wide")
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st.markdown("""
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<style>
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;600;700&display=swap');
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body {
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font-family: 'Inter', sans-serif;
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background-color: #f0f4f8;
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color: #1a202c;
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}
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.stApp {
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max-width: 1200px;
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margin: 0 auto;
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padding: 2rem;
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}
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.main-container {
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background: #ffffff;
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border-radius: 16px;
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padding: 2rem;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.05);
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}
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h1 {
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font-size: 2.5rem;
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font-weight: 700;
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color: #2d3748;
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text-align: center;
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margin-bottom: 1rem;
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}
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.subtitle {
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font-size: 1.1rem;
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text-align: center;
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color: #4a5568;
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margin-bottom: 2rem;
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}
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.stTextArea textarea {
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border: 2px solid #e2e8f0;
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border-radius: 8px;
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font-size: 1rem;
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padding: 0.75rem;
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transition: all 0.3s ease;
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}
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.stTextArea textarea:focus {
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border-color: #4299e1;
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box-shadow: 0 0 0 3px rgba(66, 153, 225, 0.5);
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}
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.stButton button {
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background-color: #4299e1;
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color: white;
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border: none;
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border-radius: 8px;
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font-size: 1.1rem;
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font-weight: 600;
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padding: 0.75rem 2rem;
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transition: all 0.3s ease;
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width: 100%;
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}
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.stButton button:hover {
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background-color: #3182ce;
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}
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.output-container {
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background: #f7fafc;
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border-radius: 8px;
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padding: 1rem;
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margin-top: 2rem;
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}
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.code-block {
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background-color: #2d3748;
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color: #e2e8f0;
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font-family: 'Fira Code', monospace;
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font-size: 0.9rem;
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border-radius: 8px;
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padding: 1rem;
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margin-top: 1rem;
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overflow-x: auto;
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}
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.stAlert {
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background-color: #ebf8ff;
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color: #2b6cb0;
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border-radius: 8px;
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border: none;
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padding: 0.75rem 1rem;
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}
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.stSpinner {
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color: #4299e1;
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}
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</style>
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""", unsafe_allow_html=True)
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st.markdown('<div class="main-container">', unsafe_allow_html=True)
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st.title("π Advanced AI Code Assistant")
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st.error(completed_text)
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else:
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optimized_code, lint_results = optimize_code(completed_text)
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if "SyntaxError" in lint_results:
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st.warning(f"Syntax error detected: {lint_results}")
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st.code(completed_text)
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else:
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quality_score = analyze_code_quality(optimized_code)
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st.success(f"Code generated and optimized successfully! Quality Score: {quality_score:.2f}")
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st.markdown('<div class="output-container">', unsafe_allow_html=True)
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st.markdown('<div class="code-block">', unsafe_allow_html=True)
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st.code(optimized_code)
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st.markdown('</div>', unsafe_allow_html=True)
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visualization = visualize_code_structure(optimized_code)
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if visualization:
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with st.expander("View Code Structure Visualization"):
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st.pyplot(visualization)
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else:
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st.warning("Unable to generate code structure visualization due to syntax errors.")
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with st.expander("View Lint Results"):
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st.text(lint_results)
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with st.expander("Fetch Similar Code from GitHub"):
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github_results = fetch_from_github(prompt)
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for item in github_results:
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st.markdown(f"[{item['name']}]({item['html_url']})")
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st.markdown('</div>', unsafe_allow_html=True)
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st.markdown("""
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<div style='text-align: center; margin-top: 2rem; color: #4a5568;'>
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