Update app.py

app.py

@@ -396,11 +396,11 @@ def generate_60(
     print('averaged shape: ', prompt_embeds.shape)
 
     # 3. Concatenate the text_encoder_2 embeddings 
-    prompt_embeds2 = torch.cat([prompt_embeds_a, prompt_embeds_b])
+    prompt_embeds2 = torch.cat([prompt_embeds_a2, prompt_embeds_b2])
     print('catted shape2: ', prompt_embeds2.shape)
     pooled_prompt_embeds2 = torch.cat([pooled_prompt_embeds_a2, pooled_prompt_embeds_b2])
     print('catted pooled shape 2: ', pooled_prompt_embeds2.shape)
-    pooled_prompt_embeds2 = torch.mean(pooled_prompt_embeds2,dim=0)
+    pooled_prompt_embeds2 = torch.mean(pooled_prompt_embeds2,dim=1)
     print('pooled meaned shape 2: ', pooled_prompt_embeds2.shape)
     pooled_prompt_embeds = torch.cat([pooled_prompt_embeds, pooled_prompt_embeds2])
     print('catted combined meaned pooled shape: ', pooled_prompt_embeds.shape)
@@ -525,11 +525,11 @@ def generate_90(
     print('averaged shape: ', prompt_embeds.shape)
 
     # 3. Concatenate the text_encoder_2 embeddings 
-    prompt_embeds2 = torch.cat([prompt_embeds_a, prompt_embeds_b])
+    prompt_embeds2 = torch.cat([prompt_embeds_a2, prompt_embeds_b2])
     print('catted shape2: ', prompt_embeds2.shape)
     pooled_prompt_embeds2 = torch.cat([pooled_prompt_embeds_a2, pooled_prompt_embeds_b2])
     print('catted pooled shape 2: ', pooled_prompt_embeds2.shape)
-    pooled_prompt_embeds2 = torch.mean(pooled_prompt_embeds2,dim=0)
+    pooled_prompt_embeds2 = torch.mean(pooled_prompt_embeds2,dim=1)
     print('pooled meaned shape 2: ', pooled_prompt_embeds2.shape)
     pooled_prompt_embeds = torch.cat([pooled_prompt_embeds, pooled_prompt_embeds2])
     print('catted combined meaned pooled shape: ', pooled_prompt_embeds.shape)