Update app.py

app.py

@@ -14,29 +14,25 @@ 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=0.7, model_name="gpt-4", max_tokens=num_outputs))
+    llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=0.7, model_name="gpt-3.5-turbo", max_tokens=num_outputs))
 
     documents = SimpleDirectoryReader(directory_path).load_data()
-    
-    index = GPTVectorStoreIndex(documents)
-    
-    index.storage_context.persist()
+
+    index = GPTVectorStoreIndex(documents, llm_predictor=llm_predictor, prompt_helper=prompt_helper)
+
+    index.storage_context.persist(persist_dir="index.json")
 
     return index
 
 def chatbot(input_text):
     query_engine = index.as_query_engine()
-    #index = GPTVectorStoreIndex.load_from_disk('index.json')
-    response = query_engine.query(input_text, response_mode="compact")
+    response = query_engine.query(input_text)
     return response.response
 
 iface = gr.Interface(fn=chatbot,
-                     inputs=gr.components.Textbox(lines=7, label="Ingrese su pregunta"),
+                     inputs=gr.components.Textbox(lines=7, label="Ingresa tu pregunta"),
                      outputs="text",
                      title="Demo Galicia")
 
-# rebuild storage context
-storage_context = StorageContext.from_defaults()
-# load index
-index = load_index_from_storage(storage_context)
+index = construct_index("docs")
 iface.launch(share=True, debug=True)