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updated app.py
Browse files- app.py +91 -0
- data/Ted Lasso S1 E01 _Pilot_ _ Recap - TV Tropes.html +0 -0
- data/Ted Lasso S1 E02 _Biscuits_ _ Recap - TV Tropes.html +0 -0
- data/Ted Lasso S1 E03 _Trent Crimm_ The Independent_ _ Recap - TV Tropes.html +0 -0
- data/Ted Lasso S1 E04 _For the Children_ _ Recap - TV Tropes.html +0 -0
- data/Ted Lasso S1 E05 _Tan Lines_ _ Recap - TV Tropes.html +0 -0
- data/Ted Lasso S1 E06 _Two Aces_ _ Recap - TV Tropes.html +0 -0
- data/Ted Lasso S1 E07 _Make Rebecca Great Again_ _ Recap - TV Tropes.html +0 -0
- data/Ted Lasso S1 E08 _The Diamond Dogs_ _ Recap - TV Tropes.html +0 -0
- data/Ted Lasso S1 E09 _All Apologies_ _ Recap - TV Tropes.html +0 -0
- data/Ted Lasso S1 E10 _The Hope that Kills You_ _ Recap - TV Tropes.html +0 -0
- requirements.txt +5 -0
app.py
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from langchain.embeddings.openai import OpenAIEmbeddings
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from langchain.vectorstores import Chroma
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from langchain.text_splitter import CharacterTextSplitter
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from langchain.chains.question_answering import load_qa_chain
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from langchain.llms import OpenAI
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from langchain.document_loaders import BSHTMLLoader, DirectoryLoader
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain.embeddings.openai import OpenAIEmbeddings
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from langchain.chat_models import ChatOpenAI
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from langchain.chains import RetrievalQA
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import os
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import gradio as gr
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print("LOGGING")
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# Load the files
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directory = './data/'
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bshtml_dir_loader = DirectoryLoader(directory, loader_cls=BSHTMLLoader)
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data = bshtml_dir_loader.load()
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#Split the document into chunks
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text_splitter = RecursiveCharacterTextSplitter(
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chunk_size = 1000,
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chunk_overlap = 20,
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length_function = len,
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)
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documents = text_splitter.split_documents(data)
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# Create the embeddings
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embeddings = OpenAIEmbeddings()
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print("Got embeddings")
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#Input openai api key
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# Check if the OpenAI API Key is empty
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def check_api_key(api_key):
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if api_key == "":
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return False
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return True
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# Create the Gradio interface
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def gradio_interface(api_key):
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if not check_api_key(api_key):
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return "API key is empty. Please provide a valid API key."
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else:
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# Create the second page interface
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question_input = gr.inputs.Textbox(label="Question")
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answer_output = gr.outputs.Textbox(label="Answer")
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# Function for the second page interface
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def infer_question(question):
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answer = make_inference(question)
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return answer
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# Define the second page of the Gradio interface
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second_page = gr.Interface(fn=infer_question, inputs=question_input, outputs=answer_output, title="Ask me about Ted Lasso 📺⚽")
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# Launch the second page interface
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second_page.launch()
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# Define the input interface for the first page (OpenAI API Key entry)
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api_key_input = gr.inputs.Textbox(label="OpenAI API Key")
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# Create the first page interface
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first_page = gr.Interface(fn=gradio_interface, inputs=api_key_input, title="OpenAI API Key Entry")
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# Launch the first page interface
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first_page.launch()
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print("got API key")
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#Load the model
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llm = ChatOpenAI(temperature=0, model="gpt-3.5-turbo",openai_api_key=api_key_input)
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# Create vectorstore to use as the index
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vectordb = Chroma.from_documents(documents=documents, embedding=embeddings)
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#expose this index in a retriever object
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doc_retriever = vectordb.as_retriever()
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print("Created retriever")
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#create the QA chain
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ted_lasso_qa = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff", retriever=doc_retriever)
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# Function to make inferences and provide answers
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def make_inference(question):
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# Perform inference using the question and return the answer
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print("reached inference")
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return ted_lasso_qa.run(question)
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data/Ted Lasso S1 E01 _Pilot_ _ Recap - TV Tropes.html
ADDED
The diff for this file is too large to render.
See raw diff
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data/Ted Lasso S1 E02 _Biscuits_ _ Recap - TV Tropes.html
ADDED
The diff for this file is too large to render.
See raw diff
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data/Ted Lasso S1 E03 _Trent Crimm_ The Independent_ _ Recap - TV Tropes.html
ADDED
The diff for this file is too large to render.
See raw diff
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data/Ted Lasso S1 E04 _For the Children_ _ Recap - TV Tropes.html
ADDED
The diff for this file is too large to render.
See raw diff
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data/Ted Lasso S1 E05 _Tan Lines_ _ Recap - TV Tropes.html
ADDED
The diff for this file is too large to render.
See raw diff
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data/Ted Lasso S1 E06 _Two Aces_ _ Recap - TV Tropes.html
ADDED
The diff for this file is too large to render.
See raw diff
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data/Ted Lasso S1 E07 _Make Rebecca Great Again_ _ Recap - TV Tropes.html
ADDED
The diff for this file is too large to render.
See raw diff
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data/Ted Lasso S1 E08 _The Diamond Dogs_ _ Recap - TV Tropes.html
ADDED
The diff for this file is too large to render.
See raw diff
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data/Ted Lasso S1 E09 _All Apologies_ _ Recap - TV Tropes.html
ADDED
The diff for this file is too large to render.
See raw diff
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data/Ted Lasso S1 E10 _The Hope that Kills You_ _ Recap - TV Tropes.html
ADDED
The diff for this file is too large to render.
See raw diff
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requirements.txt
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@@ -0,0 +1,5 @@
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openai
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tiktoken
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langchain
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chromadb
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beautifulsoup4
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