Duplicate from EnigmaOfTheWorld/MLAndBusiness

Co-authored-by: World <EnigmaOfTheWorld@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+title: MLAndBusiness
+emoji: ⚡
+colorFrom: purple
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.24.1
+app_file: app.py
+pinned: false
+duplicated_from: EnigmaOfTheWorld/MLAndBusiness
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import os 
+
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.text_splitter import CharacterTextSplitter
+from langchain.vectorstores import ElasticVectorSearch, Pinecone, Weaviate, FAISS
+from langchain.chains.question_answering import load_qa_chain
+from langchain.llms import OpenAI
+import gradio as gr
+
+embeddings = OpenAIEmbeddings(openai_api_key=os.environ['OPENAI_API_KEY'])
+docsearch = FAISS.load_local("embeddings",embeddings)
+chain = load_qa_chain(OpenAI(openai_api_key=os.environ['OPENAI_API_KEY']), chain_type="stuff")
+
+def ask_anything(chat_history,query):
+  greetings = ['hi', 'hello', 'hey', 'good morning', 'good afternoon', 'good evening', 'greetings', 'salutations', 'yo', 'howdy', 'hola', 'bonjour', 'konnichiwa', 'ni hao', 'ciao', 'salaam', 'shalom', 'namaste']
+  if query.lower() in greetings:
+      result = f"Hello!How are you?"
+  elif query.lower() in ["what are you?","who are you?"]:
+      result = f'I am an AI chatbot available to assist you.'
+  else:
+      docs = docsearch.similarity_search(query)
+      result = chain.run(input_documents=docs, question=query)
+  return chat_history + [(query,result)]
+
+
+with gr.Blocks() as demo:
+  gr.HTML(value="""<h1 style="text-align: center;text-decoration: underline">AI Chatbot</h1>""")
+  chatbot = gr.Chatbot()
+  textbox = gr.Textbox(label="Your query")
+
+  textbox.submit(fn=ask_anything,inputs=[chatbot,textbox],outputs=[chatbot])
+
+
+demo.launch(debug=True)

embeddings/index.faiss

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+oid sha256:ec3cb553da47fc6ef9aadead4470b44a023f79b64d06100315f08eae27a2ac5c
+size 26001453

embeddings/index.pkl

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+oid sha256:e2b8c4320f8ae05f54656fc16032f1ee207d0d4ee6f55fc0c3e9d3ba4d93b489
+size 4409380

requirements.txt

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+gradio==3.24.1
+langchain
+openai
+PyPDF2
+faiss-cpu