Uploading application file

docpdf-qa.py

@@ -0,0 +1,123 @@
+import gradio as gr
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.text_splitter import CharacterTextSplitter
+from langchain.vectorstores import Chroma
+
+from langchain.chains import ConversationalRetrievalChain
+from langchain.chat_models import ChatOpenAI
+
+from langchain.document_loaders import PyPDFLoader
+import os
+
+import fitz
+from PIL import Image
+
+COUNT,N = 0,0
+chat_history = []
+chain = ''
+enable_box = gr.Textbox.update(value=None,placeholder= 'Upload your OpenAI API key',interactive=True)
+disable_box = gr.Textbox.update(value = 'OpenAI API key is Set',interactive=False)
+#os.environ['OPENAI_API_KEY'] = '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'
+
+def set_apikey(api_key):
+    os.environ['OPENAI_API_KEY'] = api_key
+    return disable_box
+def enable_api_box():
+    return enable_box
+
+def add_text(history, text):
+    if not text:
+         raise gr.Error('enter text')
+    history = history + [(text,'')] 
+    return history
+
+def process_file(file):
+    if 'OPENAI_API_KEY' not in os.environ:
+        raise gr.Error('Upload your OpenAI API key')
+
+    loader = PyPDFLoader(file.name)
+    documents = loader.load()
+
+    embeddings = OpenAIEmbeddings()
+    
+    pdfsearch = Chroma.from_documents(documents, embeddings, metadatas=[{"source": f"{i}-pl"} for i in range(len(documents))])
+
+    chain = ConversationalRetrievalChain.from_llm(ChatOpenAI(temperature=0.3), 
+                                                  retriever=pdfsearch.as_retriever(search_kwargs={"k": 1}),
+                                                  return_source_documents=True,)
+    return chain
+
+def generate_response(history, query, btn):
+    global COUNT, N, chat_history, chain
+    
+    if not btn:
+        raise gr.Error(message='Upload a PDF')
+    if COUNT == 0:
+            chain = process_file(btn)
+            COUNT += 1
+    
+    result = chain({"question": query, 'chat_history':chat_history},return_only_outputs=True)
+    chat_history += [(query, result["answer"])]
+    N = list(result['source_documents'][0])[1][1]['page']
+
+    for char in result['answer']:
+       history[-1][-1] += char
+       yield history,''
+
+
+def render_first(btn):
+    
+    doc = fitz.open(btn.name)
+    page = doc[0]
+
+    #Render the page as a PNG image with a resolution of 300 DPI
+    pix = page.get_pixmap(matrix=fitz.Matrix(300/72, 300/72))
+    image = Image.frombytes('RGB', [pix.width, pix.height], pix.samples)
+    return image
+
+def render_file(file):
+    global N
+    doc = fitz.open(file.name)
+    page = doc[N]
+    #Render the page as a PNG image with a resolution of 300 DPI
+    pix = page.get_pixmap(matrix=fitz.Matrix(300/72, 300/72))
+    image = Image.frombytes('RGB', [pix.width, pix.height], pix.samples)
+    return image
+
+
+with gr.Blocks() as demo:
+
+    with gr.Column():
+        with gr.Row():
+            with gr.Column(scale=0.8):
+                api_key = gr.Textbox(placeholder='Enter OpenAI API key', show_label=False, interactive=True).style(container=False)
+            with gr.Column(scale=0.2):
+                change_api_key = gr.Button('Change Key')
+        with gr.Row():           
+            chatbot = gr.Chatbot(value=[], elem_id='chatbot').style(height=650)
+            show_img = gr.Image(label='Upload PDF', tool='select' ).style(height=680)
+    with gr.Row():
+        with gr.Column(scale=0.70):
+            txt = gr.Textbox(
+                        show_label=False,
+                        placeholder="Enter text and press enter",
+                    ).style(container=False)
+        with gr.Column(scale=0.15):
+            submit_btn = gr.Button('submit')
+        with gr.Column(scale=0.15):
+            btn = gr.UploadButton("📁 upload a PDF", file_types=[".pdf"]).style()
+    
+    api_key.submit(fn=set_apikey, inputs=[api_key], outputs=[api_key])
+    change_api_key.click(fn= enable_api_box,outputs=[api_key])
+    btn.upload(fn=render_file, inputs=[btn], outputs=[show_img],)
+    
+    submit_btn.click(fn=add_text, inputs=[chatbot,txt], outputs=[chatbot, ], queue=False).success(fn=generate_response,inputs = [chatbot, txt, btn],
+                                    outputs = [chatbot,txt]).success(fn=render_file,inputs = [btn], outputs=[show_img])
+
+    txt.submit(fn=add_text, inputs=[chatbot,txt], outputs=[chatbot, ], queue=False).success(fn=generate_response,inputs = [chatbot, txt, btn],
+                                    outputs = [chatbot,txt]).success(fn=render_file,inputs = [btn], outputs=[show_img])
+
+
+demo.queue()
+if __name__ == "__main__":
+    demo.launch()