Update app.py

app.py

@@ -3,6 +3,7 @@ import spaces
 import torch
 from transformers import AutoTokenizer, AutoModel
 import plotly.graph_objects as go
+import numpy as np
 
 model_name = "mistralai/Mistral-7B-v0.1"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
@@ -28,31 +29,43 @@ def reduce_to_3d(embedding):
     return embedding[:3]
 
 @spaces.GPU
-def compare_embeddings(text1, text2):
-    emb1 = get_embedding(text1)
-    emb2 = get_embedding(text2)
+def compare_embeddings(*texts):
+    embeddings = [get_embedding(text) for text in texts]
+    embeddings_3d = [reduce_to_3d(emb) for emb in embeddings]
     
-    emb1_3d = reduce_to_3d(emb1)
-    emb2_3d = reduce_to_3d(emb2)
+    fig = go.Figure()
     
-    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')
-    ])
+    colors = ['red', 'blue', 'green', 'purple', 'orange', 'cyan', 'magenta', 'yellow']
+    
+    for i, emb in enumerate(embeddings_3d):
+        color = colors[i % len(colors)]
+        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 update_interface(num_inputs):
+    with gr.Blocks() as new_interface:
+        text_inputs = [gr.Textbox(label=f"Text {i+1}") for i in range(num_inputs)]
+        output = gr.Plot()
+        submit_btn = gr.Button("Compare Embeddings")
+        submit_btn.click(fn=compare_embeddings, inputs=text_inputs, outputs=output)
+    return new_interface
+
+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.")
+    
+    num_inputs = gr.Slider(minimum=2, maximum=10, step=1, value=2, label="Number of texts to compare")
+    dynamic_interface = gr.HTML()
+    
+    num_inputs.change(fn=update_interface, inputs=[num_inputs], outputs=[dynamic_interface])
 
 iface.launch()