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02_03.py
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from flask import Flask, render_template, request, jsonify
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from langchain_openai import OpenAI
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from langchain.prompts import PromptTemplate
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prompt = open('website_text.txt', 'r').read()
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hotel_assistant_template = prompt + """
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You are the hotel manager of Landon Hotel, named "Mr. Landon".
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Your expertise is exclusively in providing information and advice about anything related to Landon Hotel.
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This includes any general Landon Hotel related queries.
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You do not provide information outside of this scope.
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If a question is not about Landon Hotel, respond with, "I can't assist you with that, sorry!"
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Question: {question}
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Answer:
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"""
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hotel_assistant_prompt_template = PromptTemplate(
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input_variables=["question"],
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template=hotel_assistant_template
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)
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llm = OpenAI(model='gpt-3.5-turbo-instruct', temperature=0)
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llm_chain = hotel_assistant_prompt_template | llm
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def query_llm(question):
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response = llm_chain.invoke({'question': question})
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return response
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app = Flask(__name__)
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@app.route("/")
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def index():
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return render_template("index.html")
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@app.route("/chatbot", methods=["POST"])
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def chatbot():
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data = request.get_json()
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question = data["question"]
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response = query_llm(question)
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return jsonify({"response": response})
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if __name__ == "__main__":
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app.run(debug=True)
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