Update app.py

app.py

@@ -1,25 +1,14 @@
-#!/usr/bin/env python3
-
-import os
 import gradio as gr
-from dotenv import load_dotenv
-import s3fs
-
-load_dotenv('myenvfile.env')
+import os
+from llama_index import GPTSimpleVectorIndex
+from langchain.agents import ZeroShotAgent, AgentExecutor
+from langchain.agents import Tool
+from langchain import OpenAI, LLMChain
 
-openai_api_key = os.environ['OPENAI_API_KEY']
-aws_access_key_id = os.environ['AWS_ACCESS_KEY_ID']
-aws_secret_access_key = os.environ['AWS_SECRET_ACCESS_KEY']
+os.environ['OPENAI_API_KEY'] = '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'
 
-from llama_index import GPTListIndex, GPTSimpleVectorIndex
-from langchain.agents import load_tools, Tool, initialize_agent
-from langchain.llms import OpenAI
-from langchain.agents import ZeroShotAgent, Tool, AgentExecutor
-from langchain.agents import initialize_agent, Tool
-from langchain import OpenAI, LLMChain
-from llama_index import GPTSimpleVectorIndex, SimpleDirectoryReader
+index = GPTSimpleVectorIndex.load_from_disk('/mnt/index/comboindex.json')
 
-index = GPTSimpleVectorIndex.load_from_disk('index.json')
 
 def querying_db(query: str):
     response = index.query(query)
@@ -33,7 +22,6 @@ tools = [
         description="useful for when you need to answer questions from the database. The answer is given in bullet points.",
         return_direct=True
     )
-
 ]
 
 prefix = """Give a detailed answer to the question"""
@@ -48,6 +36,7 @@ prompt = ZeroShotAgent.create_prompt(
     suffix=suffix,
     input_variables=["input", "agent_scratchpad"]
 )
+
 llm_chain = LLMChain(llm=OpenAI(temperature=0), prompt=prompt)
 tool_names = [tool.name for tool in tools]
 agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names)
@@ -59,10 +48,12 @@ def get_answer(query_string):
 
     return result
 
+
 def qa_app(query):
-    answer = get_answer(query)
-    return answer
+    return get_answer(query)
 
 inputs = gr.inputs.Textbox(label="Enter your question:")
 output = gr.outputs.Textbox(label="Answer:")
-gr.Interface(fn=qa_app, inputs=inputs, outputs=output, title="Query Answering App").launch()
+iface = gr.Interface(fn=qa_app, inputs=inputs, outputs=output, title="Endo AI : Endocrine answering app by Dr. Om J Lakhani")
+
+iface.launch()