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Update app.py
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app.py
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import gradio as gr
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node
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node
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import gradio as gr
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from typing import List
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import string
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class TrieNode:
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def __init__(self):
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self.children = {}
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self.is_end_of_word = False
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class Autocomplete:
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def __init__(self):
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self.root = TrieNode()
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def insert(self, word):
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node = self.root
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for char in word:
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if char not in node.children:
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node.children[char] = TrieNode()
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node = node.children[char]
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node.is_end_of_word = True
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def autocomplete(self, prefix):
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node = self.root
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for char in prefix:
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if char not in node.children:
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return []
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node = node.children[char]
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return self._find_completions(node, prefix)
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def _find_completions(self, node, prefix):
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completions = []
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if node.is_end_of_word:
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completions.append(prefix)
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for char, child_node in node.children.items():
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completions.extend(self._find_completions(child_node, prefix + char))
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return completions
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def preprocess_text_file(file_path):
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words_and_numbers = []
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with open(file_path, "r") as file:
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for line in file:
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word_or_number = line.strip().lower()
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words_and_numbers.append(word_or_number)
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return words_and_numbers
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def build_autocomplete_system(file_path):
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autocomplete_system = Autocomplete()
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words_and_numbers = preprocess_text_file(file_path)
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for item in words_and_numbers:
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autocomplete_system.insert(item)
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return autocomplete_system
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def autocomplete(prefix):
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prefix = prefix.lower() # Convert input to lowercase
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suggestions = autocomplete_system.autocomplete(prefix)
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return suggestions
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if __name__ == "__main__":
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# Specify the path to the text file containing words and numbers
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file_path = "/drugs.txt"
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# Build the autocomplete system
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autocomplete_system = build_autocomplete_system(file_path)
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# Create a Gradio interface
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iface = gr.Interface(
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fn=autocomplete,
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inputs=gr.inputs.Textbox(),
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outputs=gr.outputs.Textbox(),
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live=True,
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capture_session=True,
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)
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iface.launch()
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