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import gradio as gr
import wikipedia
import requests
from bs4 import BeautifulSoup
import pyjokes
def essay_query(payload):
API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
data = json.dumps(payload)
response = requests.request("POST", API_URL, headers=headers, data=data)
return json.loads(response.content.decode("utf-8"))
def essay(name):
result_count = 2
f_result = ""
result = {"",""}
text =""
url = "https://www.google.com/search?q="+name
r = requests.get(url)
soup = BeautifulSoup(r.text,"html.parser")
heading_object=soup.find_all('div')
for info in heading_object:
if '<div class="BNeawe s3v9rd AP7Wnd"><div><div><div class="BNeawe s3v9rd AP7Wnd">' in str(info):
if '›' not in str(info.text) :
result.add(info.text)
n=0
for i in result:
if n!=0:
i = i.split("·",1)
try:
i = i[1]
except:
i = i[0]
i=i.split("Duration")
i = i[0]
text = text +str(n)+"\t"+i+"\n\n"
n=n+1
if result_count == 1:
temp = ""
else:
for r in text.split("\n\n")[0:-1]:
if "..." in r:
r = r.split("...")
w = essay_query(r[0].replace("\xa0",""))
f_result = f_result + (w[0]['summary_text'])
else:
#print(r[:-1])
w = essay_query(r[:-1])
f_result = f_result +(w[0]['summary_text'])
return f_result
def code(name):
name = name.split('learn')[-1]
name = name.split('start')[-1]
name = name.split()[0]
url = "https://www.w3schools.com/"+name+"/"+name+"_syntax.asp"
r = requests.get(url)
soup = BeautifulSoup(r.text,"html.parser")
heading_object=soup.find_all('div')
result = ""
for info in heading_object:
info1 = str(info)
if '</script>' not in info1 and '<div class="w3-col l10 m12" id="main">' in info1:
#print(n)
text = str(info.text).split('Next ❯')[1].split("❮ Previous")[0].split("\n\n\n")
#print(text)
for r in text:
if "Test Yourself With Exercises" in r or "Submit Answer »" in r or "On this page" in r:
continue
else:
result = result + r+"\n\n"
return result
def joke():
# importing installed library
My_joke = pyjokes.get_joke(language="en", category="neutral")
return My_joke
def wiki(name):
text = name
text = text.split("the")[-1]
text = text.split("is a")[-1]
text = text.split("by")[-1]
#print(wikipedia.search(text, results=20))
#print(text)
out = "try this key words :\n"+str(wikipedia.search(text, results=10))+"\n\n"
for i in wikipedia.search(text, results=3):
try:
result = wikipedia.summary(i)
if " " in result.lower():
#print(result)
#print()
out = out + result+"\n"
except:
continue
return out
import openai
openai.api_key = "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"
def aitext(word):
response = openai.Completion.create(
model="text-davinci-003",
prompt=word,
temperature=0.9,
max_tokens=200,
top_p=1,
frequency_penalty=0,
presence_penalty=0.6,
stop=[" Human:", " AI:"]
)
return response.choices[0].text
import json
headers = {"Authorization": f"Bearer {'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'}"}
def sumy(payload):
API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
data = json.dumps(payload)
response = requests.request("POST", API_URL, headers=headers, data=data)
return json.loads(response.content.decode("utf-8"))
def query(payload):
API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
data = json.dumps(payload)
response = requests.request("POST", API_URL, headers=headers, data=data)
return json.loads(response.content.decode("utf-8"))
def google(name):
if "give" in name or "reason" in name or "result" in name or "step" in name:
result_count = 2
print(name)
else:
result_count = 1
f_result = ""
result = {"",""}
text =""
url = "https://www.google.com/search?q="+name
r = requests.get(url)
soup = BeautifulSoup(r.text,"html.parser")
heading_object=soup.find_all('div')
for info in heading_object:
if '<div class="BNeawe s3v9rd AP7Wnd"><div><div><div class="BNeawe s3v9rd AP7Wnd">' in str(info):
if '›' not in str(info.text) :
result.add(info.text)
n=0
for i in result:
if n!=0:
i = i.split("·",1)
try:
i = i[1]
except:
i = i[0]
i=i.split("Duration")
i = i[0]
text = text +str(n)+"\t"+i+"\n\n"
n=n+1
if result_count == 1:
temp = ""
for r in text.split("\n\n"):
temp = temp+r.split("...")[0]
f_result = sumy({"inputs":temp,"parameters": {"do_sample": False,"max_length":300}})
return f_result[0]['summary_text']
else:
n=1
for r in text.split("\n\n")[2:-2]:
if len(r)>10:
if "..." in r:
r = r.split("...")
w = query(r[0].replace("\xa0",""))
f_result = f_result + str(n)+"\t"+(w[0]['summary_text'])+"\n\n"+r"\\"
else:
#print(r[:-1])
w = query(r[:-1])
f_result = f_result + str(n)+"\t"+(w[0]['summary_text'])+"\n\n"+r"\\"
n=n+1
return f_result
from PyDictionary import PyDictionary
def greet(name1):
name = name1.lower()
#dictionary=PyDictionary()
#dic = dictionary.meaning(name)
#try:
#return "Noun :"+ str(dic['Noun']) + "\nVerb :"+ str(dic['Verb'])
#except :
#return dic
if "who are you" in name or "what is you" in name or "your name" in name or"who r u" in name:
return "Im Ai Based Chatbot Created by ssebowa.org"
if "who developed you" in name or "what is you" in name or "who mad you" in name or "who made you" in name:
return "ssebowa.org"
if "tell me a joke" in name or "the joke" in name:
return joke()
if "love you" in name or "i love" in name:
return "me too"
if "marry me" in name or "marry" in name:
return "im not intrested"
if "your age" in name or "what is your age" in name:
return "Im not a human so i don't have age"
if "thank u" in name or "thanks" in name or "thank you" in name:
return "ok welcome ....!"
if "write the essay" in name or "write essay" in name:
name = name.split("about")[-1]
return essay(name)
if "how to learn" in name or "steps for learning" in name or "step for learning" in name or "steps for" in name or "step for" in name:
try:
cresult = code(name)
return google(name)+"\n\n"+cresult
except:
return google(name)
else:
return google(name)+""
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()
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