Update app.py

app.py

@@ -113,12 +113,12 @@ def vote_last_response(state, vote_type, model_selector):
 
 
 def upvote_last_response(state):
-    vote_last_response(state, "upvote", "CulturalPangea-7B")
+    vote_last_response(state, "upvote", "Pangea-7b")
     gr.Info("Thank you for your voting!")
     return state
 
 def downvote_last_response(state):
-    vote_last_response(state, "downvote", "CulturalPangea-7B")
+    vote_last_response(state, "downvote", "Pangea-7b")
     gr.Info("Thank you for your voting!")
     return state
 
@@ -420,7 +420,7 @@ def bot(history, temperature, top_p, max_output_tokens):
     with open(get_conv_log_filename(), "a") as fout:
         data = {
             "type": "chat",
-            "model": "CulturalPangea-7B",
+            "model": "Pangea-7b",
             "state": history,
             "images": all_image_hash,
             "images_path": all_image_path
@@ -543,7 +543,7 @@ with gr.Blocks(
         gr.Markdown(learn_more_markdown)
         gr.Markdown(bibtext)
 
-    chat_input.submit(
+  chat_input.submit(
     add_message, [chatbot, chat_input], [chatbot, chat_input]
     ).then(bot, [chatbot, temperature, top_p, max_output_tokens], chatbot, api_name="bot_response").then(lambda: gr.MultimodalTextbox(interactive=True), None, [chat_input])
   
@@ -591,6 +591,6 @@ if __name__ == "__main__":
     filt_invalid = "cut"
     model_name = get_model_name_from_path(args.model_path)
     tokenizer, model, image_processor, context_len = load_pretrained_model(args.model_path, args.model_base, model_name, args.load_8bit, args.load_4bit)
-    #model=model.to(torch.device('cuda'))
+    model=model.to(torch.device('cuda'))
     chat_image_num = 0
     demo.launch()