v2p1

app.py

@@ -3,6 +3,7 @@ import spaces
 import torch
 from transformers import AutoTokenizer, AutoModel
 import plotly.graph_objects as go
+import random
 
 model_name = "mistralai/Mistral-7B-v0.1"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
@@ -27,32 +28,68 @@ def get_embedding(text):
 def reduce_to_3d(embedding):
     return embedding[:3]
 
+def generate_random_color():
+    return f'rgb({random.randint(0, 255)}, {random.randint(0, 255)}, {random.randint(0, 255)})'
+
 @spaces.GPU
-def compare_embeddings(text1, text2):
-    emb1 = get_embedding(text1)
-    emb2 = get_embedding(text2)
-    
-    emb1_3d = reduce_to_3d(emb1)
-    emb2_3d = reduce_to_3d(emb2)
-    
-    fig = go.Figure(data=[
-        go.Scatter3d(x=[0, emb1_3d[0]], y=[0, emb1_3d[1]], z=[0, emb1_3d[2]], mode='lines+markers', name='Text 1'),
-        go.Scatter3d(x=[0, emb2_3d[0]], y=[0, emb2_3d[1]], z=[0, emb2_3d[2]], mode='lines+markers', name='Text 2')
-    ])
+def compare_embeddings(strings):
+    embeddings = [get_embedding(text) for text in strings]
+    embeddings_3d = [reduce_to_3d(emb) for emb in embeddings]
     
+    fig = go.Figure()
+
+    # Add origin point
+    fig.add_trace(go.Scatter3d(x=[0], y=[0], z=[0], mode='markers', name='Origin',
+                               marker=dict(color='black', size=8)))
+
+    # Add lines and points for each string
+    for i, emb in enumerate(embeddings_3d):
+        color = generate_random_color()
+        fig.add_trace(go.Scatter3d(x=[0, emb[0]], y=[0, emb[1]], z=[0, emb[2]], 
+                                   mode='lines+markers', name=f'Text {i+1}',
+                                   line=dict(color=color), marker=dict(color=color)))
+
     fig.update_layout(scene=dict(xaxis_title='X', yaxis_title='Y', zaxis_title='Z'))
     
     return fig
 
-iface = gr.Interface(
-    fn=compare_embeddings,
-    inputs=[
-        gr.Textbox(label="Text 1"),
-        gr.Textbox(label="Text 2")
-    ],
-    outputs=gr.Plot(),
-    title="3D Embedding Comparison",
-    description="Compare the embeddings of two strings visualized in 3D space using Mistral 7B."
-)
+def add_string(strings):
+    strings.append("")
+    return strings, gr.Textbox.update(visible=True)
+
+def remove_string(strings):
+    if len(strings) > 1:
+        strings.pop()
+    return strings, gr.Textbox.update(visible=len(strings) > 1)
+
+with gr.Blocks(title="3D Embedding Comparison") as iface:
+    gr.Markdown("# 3D Embedding Comparison")
+    gr.Markdown("Compare the embeddings of multiple strings visualized in 3D space using Mistral 7B.")
+    
+    with gr.Row():
+        with gr.Column(scale=1):
+            string_inputs = gr.State([""])
+            textboxes = gr.Textbox(label="Text 1", elem_id="textbox_1")
+            add_button = gr.Button("Add String")
+            remove_button = gr.Button("Remove String")
+        
+        with gr.Column(scale=2):
+            plot_output = gr.Plot()
+    
+    submit_button = gr.Button("Compare Embeddings")
+
+    def update_textboxes(strings):
+        return [gr.Textbox.update(value=s, label=f"Text {i+1}", visible=True) for i, s in enumerate(strings)]
+
+    add_button.click(add_string, inputs=[string_inputs], outputs=[string_inputs, textboxes])
+    remove_button.click(remove_string, inputs=[string_inputs], outputs=[string_inputs, textboxes])
+    
+    submit_button.click(
+        compare_embeddings,
+        inputs=[string_inputs],
+        outputs=[plot_output]
+    )
+
+    string_inputs.change(update_textboxes, inputs=[string_inputs], outputs=[textboxes])
 
 iface.launch()