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| import gradio as gr | |
| from langchain_core.messages import HumanMessage | |
| import src.passage_finder as pf | |
| # Initialize PassageFinder | |
| passage_finder = pf.PassageFinder() | |
| def respond(message): | |
| config = passage_finder.get_configurable() | |
| results = passage_finder.graph.invoke({"messages": [HumanMessage(content=message)]}, config) | |
| documents = results.get('documents', []) | |
| output = [] | |
| for doc in documents: | |
| quotes = doc.metadata.get('matched_quotes', []) | |
| publication = doc.metadata.get('publication_name', 'Unknown Publication') | |
| chapter = doc.metadata.get('chapter_name', 'Unknown Chapter') | |
| full_passage = doc.metadata.get('highlighted_content', '') | |
| quote_text = "\n".join([f"• \"{q.quote}\"" for q in quotes]) | |
| output.append({ | |
| "quotes": quote_text, | |
| "reference": f"{publication}: {chapter}", | |
| "full_passage": full_passage | |
| }) | |
| return output | |
| def process_input(message): | |
| results = respond(message) | |
| html_output = "<div class='response-container'>" | |
| for result in results: | |
| html_output += f""" | |
| <div class='result-item'> | |
| <h3 class='reference'>{result['reference']}</h3> | |
| <div class='quotes'>{result['quotes'].replace("• ", "<br>• ")}</div> | |
| <details> | |
| <summary>Show full passage</summary> | |
| <div class='full-passage'>{result['full_passage']}</div> | |
| </details> | |
| </div> | |
| """ | |
| html_output += "</div>" | |
| return html_output | |
| with gr.Blocks(css=""" | |
| body { background-color: #f0f0f0; } | |
| .gradio-container { background-color: #ffffff; } | |
| .response-container { border: 1px solid #e0e0e0; border-radius: 8px; padding: 20px; background-color: #f9f9f9; } | |
| .result-item { margin-bottom: 20px; background-color: white; padding: 15px; border-radius: 5px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } | |
| .reference { color: #2c3e50; margin-bottom: 10px; } | |
| .quotes { font-style: italic; margin-bottom: 10px; } | |
| .full-passage { margin-top: 10px; padding: 10px; background-color: #f0f0f0; border-radius: 5px; } | |
| details summary { cursor: pointer; color: #3498db; font-weight: bold; } | |
| details summary:hover { text-decoration: underline; } | |
| """) as demo: | |
| gr.Markdown("# SRF Teachings Chatbot") | |
| gr.Markdown("Ask questions about Self-Realization Fellowship teachings and receive responses with relevant quotes.") | |
| with gr.Row(): | |
| input_text = gr.Textbox( | |
| placeholder="Ask about the meaning of life, spirituality, or any other topic...", | |
| label="Your Question" | |
| ) | |
| submit_btn = gr.Button("Submit", variant="primary") | |
| output_area = gr.HTML() | |
| gr.Markdown("### Sources") | |
| gr.Textbox(value="Journey to Self Realization, Second Coming of Christ, and Autobiography of a Yogi", | |
| label="Available Sources", interactive=False) | |
| submit_btn.click(process_input, inputs=input_text, outputs=output_area) | |
| gr.Examples( | |
| examples=[ | |
| "What is the meaning of life?", | |
| "Importance of good posture", | |
| "How can I find inner peace?", | |
| "What does Paramahansa Yogananda say about meditation?", | |
| ], | |
| inputs=input_text, | |
| ) | |
| demo.launch() | |