Update app.py

app.py

@@ -4,8 +4,6 @@ import gradio as gr
 import sys
 import os
 
-#from langchain.chat_models import ChatOpenAI
-
 os.environ["OPENAI_API_KEY"]
 
 def construct_index(directory_path):
@@ -16,21 +14,20 @@ def construct_index(directory_path):
 
     prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)
 
-    llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=1.0, model_name="gpt-4", max_tokens=num_outputs))
+    llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=0.7, model_name="gpt-4", max_tokens=num_outputs))
 
     documents = SimpleDirectoryReader(directory_path).load_data()
-
-    index = GPTVectorStoreIndex(documents, llm_predictor=llm_predictor, prompt_helper=prompt_helper)
-
-    #index.save_to_disk('index.json')
-    index.storage_context.persist(persist_dir="index.json")
+    
+    index = GPTVectorStoreIndex(documents)
+    
+    index.storage_context.persist()
 
     return index
 
 def chatbot(input_text):
-    #query_engine = index.as_query_engine()
-    index = GPTVectorStoreIndex.load_from_disk('index.json')
-    response = index.query(input_text, response_mode="compact")
+    query_engine = index.as_query_engine()
+    #index = GPTVectorStoreIndex.load_from_disk('index.json')
+    response = query_engine.query(input_text, response_mode="compact")
     return response.response
 
 iface = gr.Interface(fn=chatbot,
@@ -38,5 +35,8 @@ iface = gr.Interface(fn=chatbot,
                      outputs="text",
                      title="Demo Galicia")
 
-index = construct_index("docs")
+# rebuild storage context
+storage_context = StorageContext.from_defaults(persist_dir='./storage')
+# load index
+index = load_index_from_storage(storage_context)
 iface.launch(share=True, debug=True)