Spaces:
Build error
Build error
Update backup.app.py
Browse files- backup.app.py +38 -5
backup.app.py
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
-
# Write a streamlit graphviz python program that creates a graph with two boxes and a line between them. The first box should have an outline with this information: Source Sequence: Question{s1,s2,s3}, Context: {sx,sy,sz}, and Answer: {s1,s2,s3}. The second box should have: Target Sequence: The answer to the question given the context is yes.
|
2 |
-
# modify the example not to use filename
|
3 |
-
|
4 |
-
# Import required libraries
|
5 |
import streamlit as st
|
6 |
import graphviz as gv
|
|
|
|
|
|
|
|
|
7 |
|
8 |
# Function to create the Graphviz graph
|
9 |
def create_graph():
|
@@ -22,10 +22,43 @@ def create_graph():
|
|
22 |
|
23 |
return g
|
24 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
25 |
# Create the graph
|
26 |
graph = create_graph()
|
27 |
|
28 |
# Streamlit app
|
29 |
st.title("In Context Learning - Prompt Targeting QA Pattern")
|
30 |
st.subheader("The Question / Answer pattern below can be used in concert with a LLM to do real time in context learning using general intelligence.")
|
31 |
-
st.graphviz_chart(graph)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
import streamlit as st
|
2 |
import graphviz as gv
|
3 |
+
import json
|
4 |
+
import os
|
5 |
+
|
6 |
+
FILE_NAME = 'saved_data.json'
|
7 |
|
8 |
# Function to create the Graphviz graph
|
9 |
def create_graph():
|
|
|
22 |
|
23 |
return g
|
24 |
|
25 |
+
def save_data(data):
|
26 |
+
with open(FILE_NAME, 'w') as f:
|
27 |
+
json.dump(data, f)
|
28 |
+
|
29 |
+
def load_data():
|
30 |
+
if not os.path.exists(FILE_NAME):
|
31 |
+
return {}
|
32 |
+
with open(FILE_NAME, 'r') as f:
|
33 |
+
return json.load(f)
|
34 |
+
|
35 |
# Create the graph
|
36 |
graph = create_graph()
|
37 |
|
38 |
# Streamlit app
|
39 |
st.title("In Context Learning - Prompt Targeting QA Pattern")
|
40 |
st.subheader("The Question / Answer pattern below can be used in concert with a LLM to do real time in context learning using general intelligence.")
|
41 |
+
st.graphviz_chart(graph)
|
42 |
+
|
43 |
+
data = load_data()
|
44 |
+
|
45 |
+
# Input fields
|
46 |
+
st.header("Enter your data")
|
47 |
+
question = st.text_input("Question:")
|
48 |
+
context = st.text_input("Context:")
|
49 |
+
answer = st.text_input("Answer:")
|
50 |
+
target_sequence = st.text_input("Target Sequence:")
|
51 |
+
|
52 |
+
if st.button("Save"):
|
53 |
+
if question and context and answer and target_sequence:
|
54 |
+
data["question"] = question
|
55 |
+
data["context"] = context
|
56 |
+
data["answer"] = answer
|
57 |
+
data["target_sequence"] = target_sequence
|
58 |
+
save_data(data)
|
59 |
+
st.success("Data saved successfully.")
|
60 |
+
else:
|
61 |
+
st.error("Please fill in all fields.")
|
62 |
+
|
63 |
+
st.header("Saved data")
|
64 |
+
st.write(data)
|