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boto3_ec2_instance.py

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+#!/usr/bin/python3
+
+print("content-type: text/html")
+print()
+
+
+import cgi
+
+
+import boto3
+
+#AWS credentials and region
+aws_access_key = ''
+aws_secret_key = ''
+region = 'ap-south-1'  # Change this to your desired region
+
+# EC2 instance settings
+instance_type = 't2.micro'  # Change this to your desired instance type
+ami_id = ''  # Change this to your desired AMI ID
+
+
+# Create a Boto3 EC2 client
+ec2_client = boto3.client('ec2', aws_access_key_id=aws_access_key, aws_secret_access_key=aws_secret_key, region_name=region)
+
+# Launch EC2 instance
+response = ec2_client.run_instances(
+    ImageId=ami_id,
+    InstanceType=instance_type,
+
+    MinCount=1,
+    MaxCount=1
+)
+
+print("Instance  has been launched.")

boto3_s3_bucket.py

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+#!/usr/bin/python3
+
+print("content-type: text/html")
+print()
+
+import boto3
+
+region = 'ap-south-1'
+
+def create_s3_bucket(bucket_name, region=region):
+    try:
+        s3_client = boto3.client('s3', region_name=region)
+        location_constraint = region if region != 'us-east-1' else ''
+
+        s3_client.create_bucket(
+            Bucket=bucket_name,
+            CreateBucketConfiguration={
+                'LocationConstraint': location_constraint
+            }
+        )
+        print(f"Bucket '{bucket_name}' created successfully.")
+    except Exception as e:
+        print(f"Error creating bucket '{bucket_name}': {e}")
+
+create_s3_bucket("azfar653725")

chatGPT_api.py

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+#!/usr/bin/python3
+
+import cgi
+
+print("content-type: text/html")
+print()
+
+data=cgi.FieldStorage()
+tb=data.getvalue("name")
+from langchain.llms import OpenAI
+myllm=OpenAI(
+    model="text-davinci-003",
+    openai_api_key="",
+    temperature=0
+
+)
+res=myllm.generate( prompts=[tb])
+print(res.generations[0][0].text)

docker_os_launch.py

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+#!/usr/bin/python3
+
+print("content-type: text/html")
+
+print()
+
+import subprocess
+
+s=subprocess.getoutput("sudo docker ps -a")
+
+leng=len(s.split("\n"))-1
+for i in range(1,leng):
+    al=s.split("\n")
+    ls=al[1:]
+    lss=ls[0].split()
+
+    finalimage=lss[0]+":"+lss[1]
+
+    print(finalimage)
+    print("\n")

langchain_combine.py

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+#!/usr/bin/python3
+import os
+import json
+import time
+import cgi
+print("Content-Type: text/html")
+print()
+
+form = cgi.FieldStorage()
+data1=form.getvalue("search_query1")
+print(data1)
+from langchain.llms import OpenAI
+my_openapi_key="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"
+from langchain.chains import LLMChain
+
+
+myllm = OpenAI(temperature=0, openai_api_key=my_openapi_key)
+
+
+output = myllm( prompt= data1)
+
+print(output)
+
+from langchain.prompts import PromptTemplate
+
+myprompt=PromptTemplate(
+    template="tell me top 2 {thing} of india ,Give only name of it." ,
+    input_variables=["thing"]
+)
+
+myprompt.format(thing="birds")
+output = myllm( prompt=myprompt.format(thing="birds") )
+
+my_things_prompt=myprompt.format(thing="birds")
+
+type(myllm)
+
+mychain= LLMChain(
+    prompt=myprompt , 
+    llm=myllm
+)
+data2=form.getvalue("search_query2")
+print(mychain.run(thing=data2))
+
+from langchain.agents import load_tools
+
+import os
+
+# Replace 'YOUR_API_KEY' with your actual SerpApi API key
+api_key = 'c384209be726262c36ae60aeefad89ffe2e91ebb3ffa8ff904c1ca179cc93127'
+
+# Set the environment variable
+os.environ['SERPAPI_API_KEY'] = api_key
+
+mytools= load_tools(tool_names = ["serpapi"] ,llm=myllm)
+
+from langchain.agents import initialize_agent
+
+from langchain.agents import AgentType
+
+my_google_chain =initialize_agent(tools=mytools , 
+                                  llm=myllm ,
+                                  agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
+                                 verbose=True)
+data3=form.getvalue("search_query3")
+my_google_chain.run(data3)

langchain_google.py

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+#!/usr/bin/python3
+
+print("content-type: text/html")
+print()
+
+import cgi
+data=cgi.FieldStorage()
+promp=data.getvalue("name")
+
+from langchain.llms import OpenAI
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain
+from langchain.agents import load_tools
+from langchain.agents import AgentType
+from langchain.agents import initialize_agent
+import os
+
+
+myllm=OpenAI(
+    model="text-davinci-003",
+    openai_api_key="...",
+    temperature=0
+    )
+mylw=PromptTemplate(
+    template="tell me two best{item} in {country}. ",
+    input_variables=["item","country"]    
+
+    )
+mychain=LLMChain(
+    llm=myllm,
+    prompt=mylw
+)
+os.environ['SERPAPI_API_KEY']="..."
+
+myserptool=load_tools(tool_names=['serpapi'])
+
+mygooglechain=initialize_agent(
+    llm=myllm,
+    tools=myserptool,
+    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
+    verbose=True
+
+)
+
+mygooglechain.run(promp)

linux_command.py

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+#!/usr/bin/python3
+
+print("content-type: text/html")
+print()
+
+import cgi 
+import subprocess
+
+data=cgi.FieldStorage()
+
+daat1=data.getvalue("na")
+
+sub=subprocess.getoutput(daat1)
+
+print(sub)

notepad.py

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+#!/usr/bin/python3
+
+print("content-type: text/html")
+print()
+
+import cgi
+
+data=cgi.FieldStorage()
+
+mydaat=data.getalue("w")
+
+file_path = "usr/bin/data.txt"  
+
+
+with open(file_path, "w") as file:
+    file.write(data)
+
+print("Note Saved Successfully !!")

projectY.html

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+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<style>
+  body {
+    margin: 0;
+    padding: 0;
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    min-height: 100vh;
+    background-image: url('https://images.pexels.com/photos/1964471/pexels-photo-1964471.jpeg?auto=compress&cs=tinysrgb&w=600');
+    background-size: cover;
+    background-position: center;
+    font-family: Arial, sans-serif;
+  }
+
+  .container {
+    text-align: center;
+    padding: 30px;
+    background-color: rgba(255, 255, 255, 0.7);
+    border-radius: 10px;
+    box-shadow: 0 0 10px rgba(0, 0, 0, 0.3);
+  }
+
+  .big-font {
+    font-size: 36px;
+    font-weight: bold;
+    margin-bottom: 20px;
+  }
+
+  .input-field {
+    width: 100%;
+    padding: 10px;
+    border: 1px solid #ccc;
+    border-radius: 5px;
+    margin-bottom: 10px;
+    font-size: 16px;
+  }
+
+  .submit-button {
+    padding: 10px 20px;
+    background-color: #007bff;
+    color: white;
+    border: none;
+    border-radius: 5px;
+    cursor: pointer;
+    font-size: 18px;
+    transition: background-color 0.3s;
+    margin-right: 10px;
+  }
+
+  .submit-button:hover {
+    background-color: #0056b3;
+  }
+</style>
+<title>####</title>
+</head>
+<body>
+  <div class="container">
+    <div class="big-font">MywebUI</div>
+    <form action="http://65.0.130.148/cgi-bin/project10.py">
+      <input class="input-field" type="text" name="name" placeholder="Chrome...">
+      <button class="submit-button" type="submit">Submit </button>
+    </form>
+    <form action="http://65.0.130.148/cgi-bin/project11.py">
+      <input class="input-field" type="text" name="name2" placeholder="Wikipedia...">
+      <button class="submit-button" type="submit">Submit </button>
+    </form>
+        <form action="http://65.0.130.148/cgi-bin/project12.py">
+      <input class="input-field" type="text" name="name3" placeholder="Youtube...">
+      <button class="submit-button" type="submit">Submit </button>
+    </form>
+  </div>
+</body>
+</html>