Update app.py

app.py

@@ -1,13 +1,13 @@
 import sys
 import os
 sys.path.append(os.path.dirname(os.path.realpath(__file__)))
+os.mkdir('image')
 sys.path.append(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
 import gradio as gr
 from transformers import AutoModelForCausalLM, AutoTokenizer, CLIPSegProcessor, CLIPSegForImageSegmentation
 import torch
 from diffusers import StableDiffusionPipeline
 from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler
-import os
 from langchain.agents.initialize import initialize_agent
 from langchain.agents.tools import Tool
 from langchain.chains.conversation.memory import ConversationBufferMemory
@@ -427,12 +427,13 @@ with gr.Blocks(css="#chatbot .overflow-y-auto{height:500px}") as demo:
             chatbot = gr.Chatbot(elem_id="chatbot", label="Visual ChatGPT")
             state = gr.State([])
 
-        with gr.Column(scale=0.7):
-            txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter, or upload an image").style(container=False)
-        with gr.Column(scale=0.15, min_width=0):
-            clear = gr.Button("Clear️")
-        with gr.Column(scale=0.15, min_width=0):
-            btn = gr.UploadButton("Upload", file_types=["image"])
+        with gr.Row():
+            with gr.Column(scale=0.7):
+                txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter, or upload an image").style(container=False)
+            with gr.Column(scale=0.15, min_width=0):
+                clear = gr.Button("Clear️")
+            with gr.Column(scale=0.15, min_width=0):
+                btn = gr.UploadButton("Upload", file_types=["image"])
 
     openai_api_key_input.submit(bot.init_langchain,openai_api_key_input,[input_row])
     txt.submit(bot.run_text, [txt, state], [chatbot, state])