Upload app.py

app.py

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+#!/usr/bin/env python3
+
+import os
+import gradio as gr
+from dotenv import load_dotenv
+import s3fs
+
+load_dotenv('myenvfile.env')
+
+os.environ['OPENAI_API_KEY'] = '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'
+os.environ['AWS_ACCESS_KEY_ID']="AKIAZOU6TJIYU64BCGHE"
+os.environ['AWS_SECRET_ACCESS_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
+
+
+fs = s3fs.S3FileSystem(
+		key="AKIAZOU6TJIYU64BCGHE",
+		secret="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"
+	)
+
+# download the index file from S3
+with fs.open('notesinendocrinology/index.json', 'rb') as f:
+	index_data = f.read()
+	
+import json
+
+# Decode the bytes to a string using UTF-8 encoding
+index_str = index_data.decode('utf-8')
+
+# Load the JSON data into a dictionary
+index_dict = json.loads(index_str)
+
+# create a new index object and load the saved index from the downloaded file
+index = GPTSimpleVectorIndex.load_from_string(index_str)
+
+
+def querying_db(query: str):
+	response = index.query(query)
+	return response
+
+
+tools = [
+	Tool(
+		name="QueryingDB",
+		func=querying_db,
+		description="This function takes a query string as input and returns the most relevant answer from the documentation as output"
+	)
+]
+
+llm = OpenAI(temperature=0)
+
+
+def get_answer(query_string):
+	agent = initialize_agent(tools, llm, agent="zero-shot-react-description")
+	result = agent.run(query_string)
+	return result
+
+
+def qa_app(query):
+	answer = get_answer(query)
+	return answer
+
+
+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()