tutorial51

tutorial2/single_url.py

@@ -1,7 +1,7 @@
 from langchain.document_loaders import youtube
 import io
 
-loader=youtube.YoutubeLoader.from_youtube_url("https://youtu.be/BPqOh0wVBGE")
+loader=youtube.YoutubeLoader.from_youtube_url("https://youtu.be/A7ETB5n45rA")
 docs=loader.load()
 print(docs)
 with io.open("transcript.txt","w",encoding="utf-8")as f1:

tutorial51/bucket.py

@@ -0,0 +1 @@
+

tutorial51/main.py

@@ -0,0 +1,46 @@
+from langchain_openai import ChatOpenAI
+from langchain.agents import initialize_agent, AgentType
+from langchain.tools import Tool
+import streamlit as st
+import boto3
+
+llm=ChatOpenAI(model="gpt-4",temperature=0.0)
+client=boto3.client("s3",region_name="us-east-1")
+st.set_page_config(page_title="AWS GPT")
+st.header="ask anything related to aws"
+input=st.text_input("what you want me to do")
+
+def getS3BucketName(input):
+    names=[]
+    buckets=client.list_buckets()["Buckets"]
+    for bucket in buckets:
+        names.append(bucket["Name"])
+    return(names)
+
+def createS3Bucket(input):
+    response=client.create_bucket(Bucket=input)
+    data=response["ResponseMetadata"]["HTTPStatusCode"]
+    if data==200:
+        return "successfully created"
+    else:
+        return "failed to create"
+
+
+s3name=Tool(
+    name="BucketNames",
+    func=getS3BucketName,
+    description="use to get s3 bucket names using BucketNames tool"
+)
+
+
+s3create=Tool(
+    name="BucketCreate",
+    func=createS3Bucket,
+    description="use to create s3 bucket using BucketCreate tool as per the input name provided for s3 bucket by the end user"
+)
+tools=[s3name,s3create]
+agent=initialize_agent(tools,llm,agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,verbose=True)
+if st.button("Submit",type="primary"):
+    if input is not None:
+        response=agent.run(input)
+        st.write(response)