Update app.py

app.py

@@ -1,23 +1,11 @@
-import gradio as gr
-from langchain.agents import initialize_agent
-from langchain.llms import OpenAI
-from gradio_tools.tools import (StableDiffusionTool, ImageCaptioningTool, StableDiffusionPromptGeneratorTool,
-                                TextToVideoTool)
-
-from langchain.memory import ConversationBufferMemory
-
-llm = OpenAI(openai_api_key="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",temperature=0)
-memory = ConversationBufferMemory(memory_key="chat_history")
-tools = [StableDiffusionTool().langchain, ImageCaptioningTool().langchain,
-         StableDiffusionPromptGeneratorTool().langchain, TextToVideoTool().langchain]
-
-agent = initialize_agent(tools, llm, memory=memory, agent="conversational-react-description", verbose=True)
 
 def run_text(text, state):
-    output = agent.run(input=(text))
-    print(memory)
-    print(output)
-    return [(text,output)]
+    res = "hello"
+    state = state + [(text, res)]
+    return state,state
+
+with gr.Row():
+    lang = gr.Radio(choices=['OpenAI', 'Bard'], value='OpenAI', label='llm')
 
 with gr.Blocks(css="#chatbot {overflow:auto; height:500px;}") as demo:
     chatbot = gr.Chatbot(elem_id="chatbot",show_label=False)
@@ -30,7 +18,8 @@ with gr.Blocks(css="#chatbot {overflow:auto; height:500px;}") as demo:
         with gr.Column(scale=0.20, min_width=0):
             clear = gr.Button("🔄Clear️")
 
-    txt.submit(run_text, [txt, state], [chatbot])
-    run.click(run_text, [txt, state], [chatbot])
+    txt.submit(run_text, [txt, state], [chatbot,state])
+    txt.submit(lambda: "", None, txt)
+    run.click(run_text, [txt, state], [chatbot,state])
  
-demo.queue(concurrency_count=10).launch(server_name="0.0.0.0", server_port=7860)
+demo.queue(concurrency_count=10).launch(server_name="0.0.0.0", server_port=7861)