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import gradio as gr
import wikipedia
import requests
from bs4 import BeautifulSoup
import pyjokes
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
def google(name):
result = {"",""}
text =""
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:
text = result = aitext(word)+"\n\n"
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
return text
def greet(name1):
name = name1.lower()
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 "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 ....!"
return google(name)
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()
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 |