Master

streamlit_app.py

@@ -2,39 +2,33 @@
 import numpy as np
 import pandas as pd
 import streamlit as st
+from py2neo import Graph
+import openai
 
-"""
-# Welcome to Streamlit!
+# Connect to the Neo4j database
+graph = Graph("bolt://localhost:7687", auth=("neo4j", "password"))
 
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+# Set your OpenAI API key
+openai.api_key = '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'
 
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
+# Create a Streamlit interface to input a natural language query
+natural_language_query = st.text_input('Enter your natural language query here')
 
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
+if natural_language_query:
+    # Use OpenAI's API to generate a Cypher query from the natural language query
+    response = openai.ChatCompletion.create(
+      model="gpt-3.5-turbo",
+      messages=[
+            {"role": "system", "content": "You are a helpful assistant."},
+            {"role": "user", "content": natural_language_query}
+        ]
+    )
+    cypher_query = response['choices'][0]['message']['content']
 
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
+    st.write(cyper_query)
 
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
+    # Execute the Cypher query against the Neo4j database
+    #results = graph.run(cypher_query).data()
 
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+    # Display the results in the Streamlit app
+    #st.write(results)