1st Demo

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+import openai
+from langchain.chat_models import ChatOpenAI
+from langchain.chains import ConversationChain
+from langchain.memory import ConversationBufferMemory
+from langchain.schema import (
+    AIMessage,
+    HumanMessage,
+    SystemMessage
+)
+# import random
+# import time
+
+llm = ChatOpenAI(temperature=0.0, openai_api_key="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")
+memory = ConversationBufferMemory()
+conversation = ConversationChain(
+    llm=llm, 
+    memory = memory,
+    # verbose=True
+)
+
+with gr.Blocks() as demo:
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox()
+    clear = gr.ClearButton([msg, chatbot])
+
+    def respond(message, chat_history):
+        bot_message = conversation.predict(input=message)
+        chat_history.append((message, bot_message))
+        return "", chat_history
+
+    msg.submit(respond, [msg, chatbot], [msg, chatbot])
+
+if __name__ == "__main__":
+    demo.launch(share=True)

requirements.txt

@@ -0,0 +1,3 @@
+openai
+langchain
+gradio