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added the download image button #3

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52 changes: 45 additions & 7 deletions app.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
from flask import Flask, render_template, request, jsonify, Response, stream_with_context
from flask import Flask, render_template, request, jsonify, Response
import requests
import json
import time
Expand All @@ -7,12 +7,13 @@
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity
from annoy import AnnoyIndex
import os
import networkx as nx
import heapq

import heapq
import matplotlib.pyplot as plt
from io import BytesIO
import networkx as nx
app = Flask(__name__)

latest_graph_data = {"nodes": [], "edges": []}
# Function to get embeddings from the API
def get_embedding(text):
headers = {'Content-Type': 'application/json'}
Expand Down Expand Up @@ -40,6 +41,8 @@ def create_database():
conn.commit()
return conn



def insert_data(conn, text, embedding, is_question):
c = conn.cursor()
c.execute("INSERT INTO embeddings (text, embedding, is_question) VALUES (?, ?, ?)",
Expand Down Expand Up @@ -314,6 +317,10 @@ def calculate_top_similarities(embeddings, current_step, top_k=2):
graph_data['nodes'][-1]['value'] = 20 # Set a default size if no connections

serialized_graph_data = serialize_graph_data(graph_data)

global latest_graph_data
latest_graph_data = serialized_graph_data

strongest_path, path_weights, avg_similarity = calculate_strongest_path(serialized_graph_data, step_count)

path_data = {
Expand Down Expand Up @@ -401,7 +408,7 @@ def calculate_top_similarities(embeddings, current_step, top_k=2):
'label': f"Final Answer: {get_short_title(final_answer)}"
})

# Calculate similarities with previous steps for the final answer

top_similarities = calculate_top_similarities(embeddings + [final_embedding], step_count - 1, top_k=2)

for prev_step, similarity in top_similarities:
Expand Down Expand Up @@ -501,6 +508,37 @@ def check_consistency(final_answer, evaluation):
#print("Failed to get a valid consistency check after 5 attempts. Defaulting to inconsistent.")
#return False
return True

@app.route("/export/image")
def export_png():
global latest_graph_data
data = latest_graph_data

# Build a NetworkX graph
G = nx.DiGraph()
for n in data.get("nodes", []):
G.add_node(n["id"], label=n["label"])
for e in data.get("edges", []):
G.add_edge(e["from"], e["to"], weight=e["value"])


pos = nx.spring_layout(G, k=0.5, seed=42)

# Draw with Matplotlib
fig, ax = plt.subplots(figsize=(8, 6), dpi=150)
nx.draw(G, pos, ax=ax, with_labels=False, node_color="#3182bd",
edge_color="#bbb", width=1.2, node_size=800)
labels = {i: d["label"] for i, d in G.nodes(data=True)}
nx.draw_networkx_labels(G, pos, labels, font_size=8)
ax.axis("off")
buf = BytesIO()
fig.savefig(buf, format="png", bbox_inches="tight")
plt.close(fig)
buf.seek(0)

return Response(buf.read(),
mimetype="image/png",
headers={
"Content-Disposition": "attachment; filename=graph.png"
})
if __name__ == '__main__':
app.run(host='0.0.0.0', port=5100, debug=True)
3 changes: 2 additions & 1 deletion requirements.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -3,4 +3,5 @@ numpy
scikit-learn
annoy
networkx
requests
requests
matplotlib
13 changes: 12 additions & 1 deletion templates/index.html
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Original file line number Diff line number Diff line change
Expand Up @@ -6,12 +6,14 @@
<title>Local Llama Knowledge Graph</title>
<script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
<script src="https://unpkg.com/vis-network/standalone/umd/vis-network.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/FileSaver.js/2.0.5/FileSaver.min.js"></script>
<style>
body { font-family: Arial, sans-serif; line-height: 1.6; padding: 20px; }
#query { width: 100%; padding: 10px; margin-bottom: 10px; }
#submit { padding: 10px 20px; }
.step, .final-answer, .similar-item { margin-bottom: 20px; border: 1px solid #ddd; padding: 10px; }
.step h3, .final-answer h3, .similar-item h3 { margin-top: 0; }

#container { display: flex; }
#left-panel { flex: 1; margin-right: 20px; }
#graph { flex: 1; height: 600px; border: 1px solid #ddd; }
Expand Down Expand Up @@ -48,7 +50,7 @@ <h1>Local Llama Knowledge Graph</h1>

<input type="text" id="query" placeholder="e.g., What is the capital of France?">
<button id="submit">Submit</button>

<button id="download-img">Download PNG</button>
<div id="container">
<div id="left-panel">
<div id="response"></div>
Expand All @@ -63,6 +65,8 @@ <h1>Local Llama Knowledge Graph</h1>
const response = document.getElementById('response');
const similar = document.getElementById('similar');
const graphContainer = document.getElementById('graph');
const downloadBtn = document.getElementById('download-img');


let network;
let nodes = new vis.DataSet();
Expand Down Expand Up @@ -243,6 +247,13 @@ <h3>Final Answer</h3>
pathHtml += `</ul><p>Overall Path Similarity (Weighted Average): ${avgSimilarity.toFixed(4)}</p>`;
return pathHtml;
}

downloadBtn.addEventListener('click', () => {
window.location = '/export/image';
});


</script>

</body>
</html>