Update app.py

app.py

@@ -23,12 +23,12 @@ import pandas as pd
 from llama_index import SimpleDirectoryReader, GPTListIndex, readers, GPTSimpleVectorIndex, LLMPredictor, PromptHelper
 from langchain import OpenAI
 from IPython.display import Markdown, display
-#import streamlit as st
 import gradio as gr
-#import gradio
-df = pd.read_excel('Shegardi_dataset.xlsx',sheet_name = 'dataset')
-#os.environ['OPENAI_API_KEY'] = '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'
+
+df = pd.read_excel('Shegardi_dataset.xlsx', sheet_name='dataset')
 os.environ['OPENAI_API_KEY'] = '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'
+
+
 def construct_index(directory_path):
     # set maximum input size
     max_input_size = 4096
@@ -44,16 +44,16 @@ def construct_index(directory_path):
     prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)
  
     documents = SimpleDirectoryReader(directory_path).load_data()
-    
     index = GPTSimpleVectorIndex(
         documents, llm_predictor=llm_predictor, prompt_helper=prompt_helper
     )
+    # Fix for the error message
     index.registry.add_type_to_struct(1, {"answer": str, "question": str})
     index.save_to_disk('index.json')
-
     return index
 
-#construct_index("context_data/data")
+
+# construct_index("context_data/data")
 
 # Include other necessary imports here
 
@@ -62,7 +62,8 @@ def ask_ai(query):
     response = index.query(query, response_mode="compact")
     return response.response
     
-iface = gr.Interface(fn=ask_ai, inputs="text", outputs="text", title="The following is a conversation with a human called Shegardi. Shegardi is helpful, precise, truthful, and very friendly.  Also, Shegardi is an employee of Warba Bank, located in Kuwait. Shegardi will only use the information provided to him. ", 
+iface = gr.Interface(fn=ask_ai, inputs="text", outputs="text",
+                     title="The following is a conversation with a human called Shegardi. Shegardi is helpful, precise, truthful, and very friendly.  Also, Shegardi is an employee of Warba Bank, located in Kuwait. Shegardi will only use the information provided to him. ",
                      description="Enter a question and get an answer from Shegardi.")
 
 iface.launch()