v2p2

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 +28,56 @@ def get_embedding(text):
 def reduce_to_3d(embedding):
     return embedding[:3]
 
+def 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)
+def compare_embeddings(*texts):
+    embeddings = [get_embedding(text) for text in texts if text.strip()]
+    embeddings_3d = [reduce_to_3d(emb) for emb in embeddings]
     
-    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')
-    ])
+    fig = go.Figure()
+
+    # Add black origin point
+    fig.add_trace(go.Scatter3d(x=[0], y=[0], z=[0], mode='markers', marker=dict(size=5, color='black'), name='Origin'))
+
+    # Add lines and points for each text
+    for i, emb in enumerate(embeddings_3d):
+        color = random_color()
+        fig.add_trace(go.Scatter3d(x=[0, emb[0]], y=[0, emb[1]], z=[0, emb[2]], mode='lines+markers', 
+                                   line=dict(color=color), marker=dict(color=color), name=f'Text {i+1}'))
     
     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_textbox(textboxes):
+    textboxes.append(gr.Textbox(label=f"Text {len(textboxes) + 1}"))
+    return textboxes
+
+def remove_textbox(textboxes):
+    if len(textboxes) > 2:
+        textboxes.pop()
+    return textboxes
+
+with gr.Blocks() as iface:
+    gr.Markdown("# 3D Embedding Comparison")
+    gr.Markdown("Compare the embeddings of multiple strings visualized in 3D space using Mistral 7B.")
+    
+    with gr.Column():
+        textboxes = gr.List([gr.Textbox(label="Text 1"), gr.Textbox(label="Text 2")])
+    
+    with gr.Row():
+        add_btn = gr.Button("Add String")
+        remove_btn = gr.Button("Remove String")
+    
+    plot_output = gr.Plot()
+    
+    submit_btn = gr.Button("Submit")
+    clear_btn = gr.ClearButton(components=[textboxes, plot_output], value="Clear")
+    
+    add_btn.click(add_textbox, inputs=[textboxes], outputs=[textboxes])
+    remove_btn.click(remove_textbox, inputs=[textboxes], outputs=[textboxes])
+    submit_btn.click(compare_embeddings, inputs=[textboxes], outputs=[plot_output])
 
 iface.launch()