Update app.py
Browse files
app.py
CHANGED
@@ -3,7 +3,6 @@ import spaces
|
|
3 |
import torch
|
4 |
from transformers import AutoTokenizer, AutoModel
|
5 |
import plotly.graph_objects as go
|
6 |
-
import random
|
7 |
|
8 |
model_name = "mistralai/Mistral-7B-v0.1"
|
9 |
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
@@ -28,77 +27,32 @@ def get_embedding(text):
|
|
28 |
def reduce_to_3d(embedding):
|
29 |
return embedding[:3]
|
30 |
|
31 |
-
def generate_random_color():
|
32 |
-
return f'rgb({random.randint(0, 255)}, {random.randint(0, 255)}, {random.randint(0, 255)})'
|
33 |
-
|
34 |
@spaces.GPU
|
35 |
-
def compare_embeddings(
|
36 |
-
|
37 |
-
|
38 |
-
|
39 |
-
fig = go.Figure()
|
40 |
|
41 |
-
|
42 |
-
|
43 |
|
44 |
-
|
45 |
-
|
46 |
-
|
47 |
-
|
48 |
-
line=dict(color=color), marker=dict(color=color), name=f'Text {i+1}'))
|
49 |
|
50 |
fig.update_layout(scene=dict(xaxis_title='X', yaxis_title='Y', zaxis_title='Z'))
|
51 |
|
52 |
return fig
|
53 |
|
54 |
-
|
55 |
-
|
56 |
-
|
57 |
-
|
58 |
-
|
59 |
-
|
60 |
-
|
61 |
-
|
62 |
-
|
63 |
-
|
64 |
-
|
65 |
-
|
66 |
-
|
67 |
-
with gr.Row():
|
68 |
-
add_btn = gr.Button("Add String")
|
69 |
-
remove_btn = gr.Button("Remove String")
|
70 |
-
|
71 |
-
with gr.Row():
|
72 |
-
clear_btn = gr.Button("Clear")
|
73 |
-
submit_btn = gr.Button("Submit")
|
74 |
-
|
75 |
-
output = gr.Plot()
|
76 |
-
|
77 |
-
add_btn.click(self.add_string, outputs=[self.string_column])
|
78 |
-
remove_btn.click(self.remove_string, outputs=[self.string_column])
|
79 |
-
clear_btn.click(self.clear_inputs, outputs=self.string_boxes)
|
80 |
-
submit_btn.click(compare_embeddings, inputs=self.string_boxes, outputs=output)
|
81 |
-
|
82 |
-
return interface
|
83 |
-
|
84 |
-
def add_string(self):
|
85 |
-
self.num_strings += 1
|
86 |
-
new_textbox = gr.Textbox(label=f"Text {self.num_strings}")
|
87 |
-
self.string_boxes.append(new_textbox)
|
88 |
-
return gr.Column.update(visible=True, children=self.string_boxes)
|
89 |
-
|
90 |
-
def remove_string(self):
|
91 |
-
if self.num_strings > 2:
|
92 |
-
self.num_strings -= 1
|
93 |
-
self.string_boxes.pop()
|
94 |
-
return gr.Column.update(visible=True, children=self.string_boxes)
|
95 |
-
return gr.Column.update()
|
96 |
-
|
97 |
-
def clear_inputs(self):
|
98 |
-
return ["" for _ in self.string_boxes]
|
99 |
-
|
100 |
-
def launch(self):
|
101 |
-
self.interface.launch()
|
102 |
-
|
103 |
-
dynamic_interface = DynamicInterface()
|
104 |
-
dynamic_interface.launch()
|
|
|
3 |
import torch
|
4 |
from transformers import AutoTokenizer, AutoModel
|
5 |
import plotly.graph_objects as go
|
|
|
6 |
|
7 |
model_name = "mistralai/Mistral-7B-v0.1"
|
8 |
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
|
|
27 |
def reduce_to_3d(embedding):
|
28 |
return embedding[:3]
|
29 |
|
|
|
|
|
|
|
30 |
@spaces.GPU
|
31 |
+
def compare_embeddings(text1, text2):
|
32 |
+
emb1 = get_embedding(text1)
|
33 |
+
emb2 = get_embedding(text2)
|
|
|
|
|
34 |
|
35 |
+
emb1_3d = reduce_to_3d(emb1)
|
36 |
+
emb2_3d = reduce_to_3d(emb2)
|
37 |
|
38 |
+
fig = go.Figure(data=[
|
39 |
+
go.Scatter3d(x=[0, emb1_3d[0]], y=[0, emb1_3d[1]], z=[0, emb1_3d[2]], mode='lines+markers', name='Text 1'),
|
40 |
+
go.Scatter3d(x=[0, emb2_3d[0]], y=[0, emb2_3d[1]], z=[0, emb2_3d[2]], mode='lines+markers', name='Text 2')
|
41 |
+
])
|
|
|
42 |
|
43 |
fig.update_layout(scene=dict(xaxis_title='X', yaxis_title='Y', zaxis_title='Z'))
|
44 |
|
45 |
return fig
|
46 |
|
47 |
+
iface = gr.Interface(
|
48 |
+
fn=compare_embeddings,
|
49 |
+
inputs=[
|
50 |
+
gr.Textbox(label="Text 1"),
|
51 |
+
gr.Textbox(label="Text 2")
|
52 |
+
],
|
53 |
+
outputs=gr.Plot(),
|
54 |
+
title="3D Embedding Comparison",
|
55 |
+
description="Compare the embeddings of two strings visualized in 3D space using Mistral 7B."
|
56 |
+
)
|
57 |
+
|
58 |
+
iface.launch()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|