Update app.py

app.py

@@ -1,20 +1,14 @@
-import openai
 import gradio
+from llama_index import SimpleDirectoryReader, GPTListIndex, readers, GPTSimpleVectorIndex, LLMPredictor, PromptHelper, ServiceContext
 
 openai.api_key = "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"
 
-messages = [{"role": "system", "content": "You are a financial experts that specializes in real estate investment and negotiation"}]
+def gradio_ask_ai(user_input):
+    index = GPTSimpleVectorIndex.load_from_disk('index.json')
+    query = user_input
+    response = index.query(query)
+    return response.response
 
-def CustomChatGPT(user_input):
-    messages.append({"role": "user", "content": user_input})
-    response = openai.ChatCompletion.create(
-        model = "gpt-3.5-turbo",
-        messages = messages
-    )
-    ChatGPT_reply = response["choices"][0]["message"]["content"]
-    messages.append({"role": "assistant", "content": ChatGPT_reply})
-    return ChatGPT_reply
-
-demo = gradio.Interface(fn=CustomChatGPT, inputs = "text", outputs = "text", title = "Real Estate Pro")
+demo = gradio.Interface(fn=gradio_ask_ai, inputs = "text", outputs = "text", title = "Meshwork_bot")
 
 demo.launch(inline=False)