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import gradio as gr |
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from chatterbot import ChatBot |
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from chatterbot.trainers import ListTrainer |
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from chatterbot.trainers import ChatterBotCorpusTrainer |
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import wikipedia |
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import requests |
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from bs4 import BeautifulSoup |
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def qq(): |
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name = name.lower() |
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if "what" in name or "who" in name or "how to" in name: |
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result = wikipedia.summary(name, sentences =10) |
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return result |
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else: |
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return "no found" |
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def greet(name): |
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url = "https://www.google.com/search?q="+name |
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r = requests.get(url) |
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soup = BeautifulSoup(r.text,"html.parser") |
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heading_object=soup.find_all('div') |
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n=1 |
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for info in heading_object: |
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n=n+1 |
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p="" |
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if n==9: |
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print("------",n) |
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result = info.getText()[182:] |
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result = result.split(".") |
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for s in result[:-20]: |
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p = p + s+"\n" |
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return p |
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break |
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iface = gr.Interface(fn=greet, inputs="text", outputs="text") |
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iface.launch() |
