Create app.py

app.py

@@ -0,0 +1,114 @@
+import streamlit as st
+from dotenv import load_dotenv
+import pickle
+from PyPDF2 import PdfReader
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.vectorstores import FAISS
+from langchain.llms import OpenAI
+from langchain.chains.question_answering import load_qa_chain
+from langchain.callbacks import get_openai_callback
+import os
+ 
+load_dotenv()
+ 
+def main():
+    st.header("LLM-powered PDF Chatbot 💬")
+ 
+ 
+    # upload a PDF file
+    pdf = st.file_uploader("Upload your PDF", type='pdf')
+ 
+    # st.write(pdf)
+    if pdf is not None:
+        pdf_reader = PdfReader(pdf)
+        
+        text = ""
+        for page in pdf_reader.pages:
+            text += page.extract_text()
+ 
+        text_splitter = RecursiveCharacterTextSplitter(
+            chunk_size=1000,
+            chunk_overlap=200,
+            length_function=len
+            )
+        chunks = text_splitter.split_text(text=text)
+ 
+        # # embeddings
+        store_name = pdf.name[:-4]
+        st.write(f'{store_name}')
+        # st.write(chunks)
+ 
+        if os.path.exists(f"{store_name}.pkl"):
+            with open(f"{store_name}.pkl", "rb") as f:
+                VectorStore = pickle.load(f)
+            # st.write('Embeddings Loaded from the Disk')s
+        else:
+            embeddings = OpenAIEmbeddings()
+            VectorStore = FAISS.from_texts(chunks, embedding=embeddings)
+            with open(f"{store_name}.pkl", "wb") as f:
+                pickle.dump(VectorStore, f)
+ 
+        # embeddings = OpenAIEmbeddings()
+        # VectorStore = FAISS.from_texts(chunks, embedding=embeddings)
+ 
+        # Accept user questions/query
+        query = st.text_input("Ask questions about your PDF file:")
+        # st.write(query)
+ 
+        if query:
+            docs = VectorStore.similarity_search(query=query, k=3)
+ 
+            llm = OpenAI()
+            chain = load_qa_chain(llm=llm, chain_type="stuff")
+            with get_openai_callback() as cb:
+                response = chain.run(input_documents=docs, question=query)
+                print(cb)
+            st.write(response)
+ 
+if __name__ == '__main__':
+    main()
+    
+def set_bg_from_url(url, opacity=1):
+    
+    footer = """
+    <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.2.0/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-gH2yIJqKdNHPEq0n4Mqa/HGKIhSkIHeL5AyhkYV8i59U5AR6csBvApHHNl/vI1Bx" crossorigin="anonymous">
+    <footer>
+        <div style='visibility: visible;margin-top:7rem;justify-content:center;display:flex;'>
+            <p style="font-size:1.1rem;">
+                Made by Mohamed Shaad
+                &nbsp;
+                <a href="https://www.linkedin.com/in/mohamedshaad">
+                    <svg xmlns="http://www.w3.org/2000/svg" width="23" height="23" fill="white" class="bi bi-linkedin" viewBox="0 0 16 16">
+                        <path d="M0 1.146C0 .513.526 0 1.175 0h13.65C15.474 0 16 .513 16 1.146v13.708c0 .633-.526 1.146-1.175 1.146H1.175C.526 16 0 15.487 0 14.854V1.146zm4.943 12.248V6.169H2.542v7.225h2.401zm-1.2-8.212c.837 0 1.358-.554 1.358-1.248-.015-.709-.52-1.248-1.342-1.248-.822 0-1.359.54-1.359 1.248 0 .694.521 1.248 1.327 1.248h.016zm4.908 8.212V9.359c0-.216.016-.432.08-.586.173-.431.568-.878 1.232-.878.869 0 1.216.662 1.216 1.634v3.865h2.401V9.25c0-2.22-1.184-3.252-2.764-3.252-1.274 0-1.845.7-2.165 1.193v.025h-.016a5.54 5.54 0 0 1 .016-.025V6.169h-2.4c.03.678 0 7.225 0 7.225h2.4z"/>
+                    </svg>          
+                </a>
+                &nbsp;
+                <a href="https://github.com/shaadclt">
+                    <svg xmlns="http://www.w3.org/2000/svg" width="23" height="23" fill="white" class="bi bi-github" viewBox="0 0 16 16">
+                        <path d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.012 8.012 0 0 0 16 8c0-4.42-3.58-8-8-8z"/>
+                    </svg>
+                </a>
+            </p>
+        </div>
+    </footer>
+"""
+    st.markdown(footer, unsafe_allow_html=True)
+    
+    
+    # Set background image using HTML and CSS
+    st.markdown(
+        f"""
+        <style>
+            body {{
+                background: url('{url}') no-repeat center center fixed;
+                background-size: cover;
+                opacity: {opacity};
+            }}
+        </style>
+        """,
+        unsafe_allow_html=True
+    )
+
+# Set background image from URL
+set_bg_from_url("https://www.1access.com/wp-content/uploads/2019/10/GettyImages-1180389186.jpg", opacity=0.875)