Update app.py

app.py

@@ -1,12 +1,51 @@
 import gradio as gr
-from langchain.text_splitter import CharacterTextSplitter
+from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.llms import HuggingFaceHub
 from langchain.embeddings import HuggingFaceEmbeddings
 from langchain.vectorstores import Chroma
 from langchain.chains import RetrievalQA
 from langchain.document_loaders import PyMuPDFLoader
 
-with gr.Blocks() as demo:
-    pdf_file = gr.File(label='file upload', file_type='.pdf')
+def load_doc(pdf_doc):
+
+    loader = PyMuPDFLoader(pdf_doc.name)
+    documents = loader.load()
+    embedding = HuggingFaceEmbeddings()
+    text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
+    text = text_splitter.split_documents(documents)
+    db = Chroma.from_documents(text, embedding)
+    llm = HuggingFaceHub(repo_id="OpenAssistant/oasst-sft-1-pythia-12b", model_kwargs={"temperature": 1.0, "max_length": 256})
+    global chain
+    chain = RetrievalQA.from_chain_type(llm=llm,chain_type="stuff",retriever=db.as_retriever())
+    return 'Document has successfully been loaded'
+
+def answer_query(query):
+    question = query
+    return chain.run(question)
+html = """
+<div style="text-align:center; max width: 700px;">
+    <h1>ChatPDF</h1>
+    <p> Upload a PDF File, then click on Load PDF File <br>
+    Once the document has been loaded you can begin chatting with the PDF =)
+</div>"""
+css = """container{max-width:700px; margin-left:auto; margin-right:auto,padding:20px}"""
+with gr.Blocks(css=css,theme=gr.themes.Monochrome()) as demo:
+    gr.HTML(html)
+    with gr.Column():
+        gr.Markdown('ChatPDF')
+        pdf_doc = gr.File(label="Load a pdf",file_types=['.pdf','.docx'],type='file')
+        with gr.Row():
+            load_pdf = gr.Button('Load pdf file')
+            status = gr.Textbox(label="Status",placeholder='',interactive=False)
+
+
+        with gr.Row():
+            input = gr.Textbox(label="type in your question")
+            output = gr.Textbox(label="output")
+        submit_query = gr.Button("submit")
+
+        load_pdf.click(load_doc,inputs=pdf_doc,outputs=status)
+
+        submit_query.click(answer_query,input,output)
 
 demo.launch()