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fix for /home/user/app/app.py:157: UserWarning: You have not specified a value for the `type` parameter. Defaulting to the 'tuples' format for chatbot messages, but this is deprecated and will be removed in a future version of Gradio. Please set type='messages' instead,
Browse files
app.py
CHANGED
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@@ -34,15 +34,6 @@ class SessionState:
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def is_db_ready(self):
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return self.db is not None
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# Gradio components to be enabled/disabled
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CHAT_COMPONENTS = None
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FILE_UPLOAD_COMPONENTS = None
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def initialize_components(file_upload_input, chat_input, chatbot):
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global CHAT_COMPONENTS, FILE_UPLOAD_COMPONENTS
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CHAT_COMPONENTS = [chat_input, chatbot]
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FILE_UPLOAD_COMPONENTS = [file_upload_input]
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-
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# Helper function to generate a new session state
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def new_session():
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return SessionState()
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@@ -50,12 +41,11 @@ def new_session():
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# Function to handle PDF upload and ingestion
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def process_pdf(pdf_file, state):
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try:
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if state.is_db_ready():
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return (
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-
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gr.ChatInterface(disabled=False),
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gr.File(disabled=True)
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)
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# Create a new session and directory for the user
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@@ -63,7 +53,7 @@ def process_pdf(pdf_file, state):
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if not os.path.exists(state.vector_store_path):
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os.makedirs(state.vector_store_path)
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# Extract text from the PDF
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doc = fitz.open(pdf_file.name)
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text = ""
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for page in doc:
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@@ -83,22 +73,21 @@ def process_pdf(pdf_file, state):
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)
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gr.Info("PDF processed successfully! You can now ask questions about the document.")
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return (
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gr.ChatInterface(disabled=False),
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gr.File(disabled=True)
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)
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except Exception as e:
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# Clean up the directory in case of an error
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if os.path.exists(state.vector_store_path):
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shutil.rmtree(state.vector_store_path)
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gr.Error(f"An error occurred: {str(e)}")
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return (
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gr.ChatInterface(disabled=True),
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gr.File(disabled=False)
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)
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# Function to handle user queries
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@@ -143,7 +132,6 @@ with gr.Blocks(title="PDF Chatbot") as demo:
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"""
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# PDF Chatbot
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Upload a PDF to start a conversation with your document.
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The chat interface will become active after the file is processed.
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"""
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)
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@@ -154,31 +142,24 @@ with gr.Blocks(title="PDF Chatbot") as demo:
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interactive=True
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)
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chat_input = gr.Textbox(
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placeholder="Type your question here...",
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scale=7
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)
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chat_interface = gr.ChatInterface(
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fn=chat_with_pdf,
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examples=["What is the main topic of the document?", "Summarize the key findings.", "Who are the authors?"],
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title="Chat Interface",
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theme="soft"
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# Chat is disabled until a file is processed
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disabled=True
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)
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# Store components in global variables for easy access
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initialize_components(file_upload_input, chat_input, chatbot)
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#
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file_upload_input.upload(
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fn=process_pdf,
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inputs=[file_upload_input, state],
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outputs=[file_upload_input,
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)
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demo.launch()
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def is_db_ready(self):
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return self.db is not None
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# Helper function to generate a new session state
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def new_session():
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return SessionState()
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# Function to handle PDF upload and ingestion
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def process_pdf(pdf_file, state):
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try:
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# Check if a PDF has already been processed in this session
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if state.is_db_ready():
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return (
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gr.update(interactive=False),
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gr.update(visible=True)
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)
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# Create a new session and directory for the user
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if not os.path.exists(state.vector_store_path):
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os.makedirs(state.vector_store_path)
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# Extract text from the PDF using PyMuPDF (fitz)
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doc = fitz.open(pdf_file.name)
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text = ""
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for page in doc:
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)
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gr.Info("PDF processed successfully! You can now ask questions about the document.")
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# Return updates to the UI components
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return (
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gr.update(interactive=False),
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gr.update(visible=True)
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)
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except Exception as e:
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# Clean up the directory in case of an error
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if os.path.exists(state.vector_store_path):
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shutil.rmtree(state.vector_store_path)
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gr.Error(f"An error occurred: {str(e)}")
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# Re-enable the file upload in case of error
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return (
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gr.update(interactive=True),
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gr.update(visible=False)
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)
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# Function to handle user queries
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"""
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# PDF Chatbot
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Upload a PDF to start a conversation with your document.
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"""
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)
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interactive=True
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)
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# Use gr.ChatInterface as a top-level component that wraps the chat logic
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chat_interface = gr.ChatInterface(
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fn=chat_with_pdf,
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chatbot=gr.Chatbot(type="messages"),
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textbox=gr.Textbox(placeholder="Type your question here...", scale=7),
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examples=["What is the main topic of the document?", "Summarize the key findings.", "Who are the authors?"],
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title="Chat Interface",
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theme="soft"
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)
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# Initially hide the chat interface until a file is processed
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chat_interface.visible = False
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# Event handler for file upload
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file_upload_input.upload(
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fn=process_pdf,
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inputs=[file_upload_input, state],
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outputs=[file_upload_input, chat_interface]
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)
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demo.launch()
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