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aifunc.py

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+import os
+import keyboard
+import time
+import requests
+os.environ["HUGGINGFACEHUB_API_TOKEN"] = "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"
+#from langchain.vectorstores.weaviate import Weaviate
+from langchain.document_loaders import TextLoader  #for textfiles
+from langchain.text_splitter import CharacterTextSplitter #text splitter
+from langchain.embeddings import HuggingFaceEmbeddings #for using HugginFace models
+# Vectorstore: https://python.langchain.com/en/latest/modules/indexes/vectorstores.html
+from langchain.vectorstores import FAISS  #facebook vectorizationfrom langchain.chains.question_answering import load_qa_chain
+from langchain.chains.question_answering import load_qa_chain
+from langchain import HuggingFaceHub
+from langchain.document_loaders import UnstructuredPDFLoader  #load pdf
+from langchain.indexes import VectorstoreIndexCreator #vectorize db index with chromadb
+from langchain.chains import RetrievalQA
+from langchain.document_loaders import UnstructuredURLLoader  #load urls into docoument-loader
+import requests
+import textwrap
+from langchain.document_loaders import TextLoader
+
+loader = TextLoader('./KS-all-info_rev1.txt')
+documents = loader.load()
+def wrap_text_preserve_newlines(text, width=110):
+    # Split the input text into lines based on newline characters
+    lines = text.split('\n')
+    # Wrap each line individually
+    wrapped_lines = [textwrap.fill(line, width=width) for line in lines]
+    # Join the wrapped lines back together using newline characters
+    wrapped_text = '\n'.join(wrapped_lines)
+    return wrapped_text
+text_splitter = CharacterTextSplitter(chunk_size=3000, chunk_overlap=10)
+docs = text_splitter.split_documents(documents)
+# Embeddings
+embeddings = HuggingFaceEmbeddings()
+#Create the vectorized db
+# Vectorstore: https://python.langchain.com/en/latest/modules/indexes/vectorstores.html
+db = FAISS.from_documents(docs, embeddings)
+llm=HuggingFaceHub(repo_id="MBZUAI/LaMini-Flan-T5-783M", model_kwargs={"temperature":0, "max_length":512})
+chain = load_qa_chain(llm, chain_type="stuff")
+def run_chain(query):
+    result=chain.run(input_documents=docs, question=query)
+    return result
+
+
+#keyboard.unhook_all()###########################

main.py

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+import streamlit as st
+from aifunc import run_chain
+
+def main():
+    st.title("DentalGPT For Everybody")
+    
+    # File upload window
+    uploaded_file = st.file_uploader("Upload files to ML")
+    
+    # Text input window
+    user_input = st.text_input("Enter text")
+    
+    # Process uploaded file and user input
+    result = process_data(uploaded_file, user_input)
+    
+    # Display result in a read-only text field
+    st.text_area("Result", value=result, disabled=True)
+
+def process_data(file, input_text):
+    # Perform data processing here based on the uploaded file and user input
+    # Return the processed result as a string
+    # Example implementation:
+    if file is not None:
+        file_contents = file.read()
+        # Process file contents
+        
+    # Process user input
+    # ...
+    
+    # Return the result
+    return "Processed result"
+
+if __name__ == '__main__':
+    main()

sapmle.txt

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+In his follow-up to 'Symbiosis',Sterling takes a look at the subtle, unnoticed presence and influence of AI in our everyday lives.
+It reveals how AI has become woven into our routines, often without our explicit realization.Dr. Cortez takes readers on a journey exploring the controversial topic of AI consciousness.
+The book provides compelling arguments for and against the possibility of true AI sentience.In her second book, Dr. Simmons delves deeper into the ethical considerations surrounding AI development and deployment.
+It is an eye-opening examination of the dilemmas faced by developers, policymakers, and society at large.Sterling explores the potential for harmonious coexistence between humans and artificial intelligence.
+The book discusses how AI can be integrated into society in a beneficial and non-disruptive manner.A comprehensive analysis of the evolution of artificial intelligence, from its inception to its future prospects.
+Dr. Simmons covers ethical considerations, potentials, and threats posed by AI.