Update app.py

app.py

@@ -1,37 +1,42 @@
 import gradio as gr
 import json 
 import os
-import openai
 from llama_index import SimpleDirectoryReader, GPTListIndex, readers, GPTSimpleVectorIndex, LLMPredictor, PromptHelper
 from langchain import OpenAI
 import sys
 
 from IPython.display import Markdown, display
 
+
+
+
 def construct_index(directory_path):
 
     max_input_size = 4096
+
     num_outputs = 2000
+
     max_chunk_overlap = 20
+
     chunk_size_limit = 600
 
+
     llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.5, model_name="gpt-3.5-turbo", max_tokens=num_outputs))
     prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)
+
     
-def ask_ai(question, api_key):
-    os.environ["OPENAI_API_KEY"] = api_key
+def ask_ai(question,api):
     index = GPTSimpleVectorIndex.load_from_disk('index.json')
     response = index.query(question, response_mode="compact")
     return response.response
 
-construct_index("data")
 
-api_key_input = gr.inputs.Textbox(label="Enter your OpenAI API Key")
+os.environ["OPENAI_API_KEY"] = "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"
+
+construct_index("data")
 
-question_input = gr.inputs.Textbox(label="Ask a question")
 
-output_text = gr.outputs.Textbox(label="Answer")
+iface = gr.Interface(fn=ask_ai, inputs="text", outputs="text" ,title="Chatbot")
 
-iface = gr.Interface(fn=ask_ai, inputs=[question_input, api_key_input], outputs=output_text, title="OpenAI Chatbot")
 
-iface.launch()
+iface.launch()