Spaces:
Sleeping
Sleeping
fix
Browse files
main.py
CHANGED
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@@ -516,7 +516,7 @@ def main():
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border: 2px solid #d1d5db !important;
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margin-bottom: 16px !important;
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}
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-
"""
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with gr.Blocks(theme=gr.themes.Soft(), title="SmartDoc AI", css=css) as demo:
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@@ -535,7 +535,7 @@ def main():
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files = gr.Files(label="Upload your files", file_types=definitions.ALLOWED_TYPES)
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question = gr.Textbox(label="Ask a question", lines=2, placeholder="Type your question here...")
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chat = gr.Chatbot(label="Answers", elem_id="chat-history"
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submit_btn = gr.Button("Get Answer", variant="primary")
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processing_message = gr.HTML("", elem_id="processing-message", visible=False)
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doc_context_display = gr.Markdown("*Submit a question to see which document sections were referenced*", elem_classes="doc-context", visible=False)
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@@ -569,10 +569,8 @@ def main():
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)
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try:
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if not question_text.strip():
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chat_history.
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{"role": "assistant", "content": "Please enter a question."}
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])
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yield (
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chat_history,
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gr.update(visible=False),
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@@ -585,10 +583,8 @@ def main():
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)
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return
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if not uploaded_files:
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chat_history.
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{"role": "assistant", "content": "Please upload at least one document."}
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])
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yield (
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chat_history,
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gr.update(visible=False),
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@@ -643,7 +639,10 @@ def main():
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(value='''<div style
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)
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# After all chunks, show 100%
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yield (
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@@ -654,7 +653,10 @@ def main():
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(value='''<div style
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)
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# Stage 3: Building Retriever
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yield (
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@@ -682,7 +684,10 @@ def main():
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(value='''<div style
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)
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result = orchestrator.run_workflow(question=question_text, retriever=retriever)
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answer = result["draft_answer"]
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@@ -695,14 +700,16 @@ def main():
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(value='''<div style
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)
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verification = result.get("verification_report", "No verification details available.")
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logger.info(f"Verification (internal):\n{verification}")
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-
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-
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])
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session_state.value["last_documents"] = retriever.invoke(question_text)
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yield (
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chat_history,
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@@ -712,7 +719,10 @@ def main():
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gr.update(interactive=True),
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gr.update(interactive=True),
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gr.update(interactive=True),
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gr.update(value='''<div style
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)
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yield (
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chat_history,
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@@ -726,10 +736,8 @@ def main():
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)
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except Exception as e:
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logger.error(f"Processing error: {e}", exc_info=True)
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chat_history.
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{"role": "assistant", "content": f"Error: {str(e)}"}
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])
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yield (
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chat_history,
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gr.update(visible=False),
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@@ -741,23 +749,63 @@ def main():
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gr.update(value="", visible=False)
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)
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-
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docs = session_state.value.get("last_documents", [])
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last_question = ""
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for msg in reversed(
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if msg
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last_question = msg
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break
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return format_document_context(docs, last_question)
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refresh_context_btn.click(
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fn=refresh_context,
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inputs=[
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outputs=[doc_context_display]
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)
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# Launch server - Compatible with both local and Hugging Face Spaces
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# HF Spaces sets SPACE_ID environment variable
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is_hf_space = os.environ.get("SPACE_ID") is not None
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demo.queue()
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if is_hf_space:
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# Hugging Face Spaces configuration
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@@ -770,7 +818,7 @@ def main():
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logger.info(f"Launching Gradio on port {server_port}")
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logger.info(f"Access the app at: http://127.0.0.1:{server_port}")
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demo.launch(server_name="127.0.0.1", server_port=server_port, share=False)
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-
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if __name__ == "__main__":
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main()
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border: 2px solid #d1d5db !important;
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margin-bottom: 16px !important;
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}
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+
"""
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with gr.Blocks(theme=gr.themes.Soft(), title="SmartDoc AI", css=css) as demo:
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files = gr.Files(label="Upload your files", file_types=definitions.ALLOWED_TYPES)
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question = gr.Textbox(label="Ask a question", lines=2, placeholder="Type your question here...")
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chat = gr.Chatbot(label="Answers", elem_id="chat-history")
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submit_btn = gr.Button("Get Answer", variant="primary")
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processing_message = gr.HTML("", elem_id="processing-message", visible=False)
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doc_context_display = gr.Markdown("*Submit a question to see which document sections were referenced*", elem_classes="doc-context", visible=False)
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)
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try:
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if not question_text.strip():
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chat_history.append({"role": "user", "content": question_text})
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chat_history.append({"role": "assistant", "content": "Please enter a question."})
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yield (
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chat_history,
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gr.update(visible=False),
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)
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return
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if not uploaded_files:
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chat_history.append({"role": "user", "content": question_text})
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chat_history.append({"role": "assistant", "content": "Please upload at least one document."})
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yield (
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chat_history,
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gr.update(visible=False),
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(value='''<div style="background:#fff; border-radius:8px; padding:18px 24px; margin-top:32px; color:#1e293b; font-size:1.2em; font-weight:600; box-shadow:0 2px 8px rgba(0,0,0,0.04);">
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<span id="processing-msg"></span>
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<span id="processing-timer" style="opacity:0.8; margin-left:8px;"></span>
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</div>''', visible=True)
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)
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# After all chunks, show 100%
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yield (
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(value='''<div style="background:#fff; border-radius:8px; padding:18px 24px; margin-top:32px; color:#1e293b; font-size:1.2em; font-weight:600; box-shadow:0 2px 8px rgba(0,0,0,0.04);">
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<span id="processing-msg"></span>
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<span id="processing-timer" style="opacity:0.8; margin-left:8px;"></span>
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</div>''', visible=True)
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)
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# Stage 3: Building Retriever
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yield (
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(value='''<div style="background:#fff; border-radius:8px; padding:18px 24px; margin-top:32px; color:#1e293b; font-size:1.2em; font-weight:600; box-shadow:0 2px 8px rgba(0,0,0,0.04);">
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<span id="processing-msg"></span>
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<span id="processing-timer" style="opacity:0.8; margin-left:8px;"></span>
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</div>''', visible=True)
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)
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result = orchestrator.run_workflow(question=question_text, retriever=retriever)
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answer = result["draft_answer"]
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(interactive=False),
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gr.update(value='''<div style="background:#fff; border-radius:8px; padding:18px 24px; margin-top:32px; color:#1e293b; font-size:1.2em; font-weight:600; box-shadow:0 2px 8px rgba(0,0,0,0.04);">
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<span id="processing-msg"></span>
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<span id="processing-timer" style="opacity:0.8; margin-left:8px;"></span>
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</div>''', visible=True)
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)
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verification = result.get("verification_report", "No verification details available.")
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logger.info(f"Verification (internal):\n{verification}")
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# Do not display verification to user, only use internally
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chat_history.append({"role": "user", "content": question_text})
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chat_history.append({"role": "assistant", "content": f"**Answer:**\n{answer}"})
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session_state.value["last_documents"] = retriever.invoke(question_text)
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yield (
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chat_history,
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gr.update(interactive=True),
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gr.update(interactive=True),
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gr.update(interactive=True),
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gr.update(value='''<div style="background:#fff; border-radius:8px; padding:18px 24px; margin-top:32px; color:#1e293b; font-size:1.2em; font-weight:600; box-shadow:0 2px 8px rgba(0,0,0,0.04);">
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<span id="processing-msg"></span>
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<span id="processing-timer" style="opacity:0.8; margin-left:8px;"></span>
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</div>''', visible=True)
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)
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yield (
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chat_history,
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)
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except Exception as e:
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logger.error(f"Processing error: {e}", exc_info=True)
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chat_history.append({"role": "user", "content": question_text})
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chat_history.append({"role": "assistant", "content": f"Error: {str(e)}"})
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yield (
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chat_history,
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gr.update(visible=False),
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gr.update(value="", visible=False)
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)
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submit_btn.click(
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fn=process_question,
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inputs=[question, files, chat],
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outputs=[chat, doc_context_display, refresh_context_btn, submit_btn, question, files, example_dropdown, processing_message],
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queue=True,
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show_progress=True
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)
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def refresh_context():
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docs = session_state.value.get("last_documents", [])
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last_question = ""
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for msg in reversed(chat.value or []):
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if msg["role"] == "user":
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last_question = msg["content"]
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break
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return format_document_context(docs, last_question)
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refresh_context_btn.click(
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fn=refresh_context,
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inputs=[],
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outputs=[doc_context_display]
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)
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def load_example(example_key):
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if not example_key or example_key not in EXAMPLES:
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return [], "", "Select a valid example from the dropdown above"
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ex_data = EXAMPLES[example_key]
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question_text = ex_data["question"]
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file_paths = ex_data["file_paths"]
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import tempfile
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temp_dir = tempfile.mkdtemp()
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copied_files = []
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file_info_text = f"Loaded: {example_key}\n\n"
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for source_file_path in file_paths:
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abs_source = os.path.abspath(source_file_path)
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if os.path.exists(abs_source):
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filename = os.path.basename(abs_source)
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temp_file_path = os.path.join(temp_dir, filename)
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shutil.copy2(abs_source, temp_file_path)
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copied_files.append(temp_file_path)
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file_size_mb = os.path.getsize(temp_file_path) / (1024 * 1024)
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file_info_text += f"{filename} ({file_size_mb:.2f} MB)\n"
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else:
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file_info_text += f"{source_file_path} not found\n"
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if not copied_files:
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return [], "", "Could not load example files"
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return copied_files, question_text, file_info_text
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example_dropdown.change(
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fn=load_example,
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inputs=[example_dropdown],
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outputs=[files, question, loaded_file_info]
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)
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# Launch server - Compatible with both local and Hugging Face Spaces
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# HF Spaces sets SPACE_ID environment variable
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is_hf_space = os.environ.get("SPACE_ID") is not None
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demo.queue()
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if is_hf_space:
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# Hugging Face Spaces configuration
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logger.info(f"Launching Gradio on port {server_port}")
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logger.info(f"Access the app at: http://127.0.0.1:{server_port}")
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demo.launch(server_name="127.0.0.1", server_port=server_port, share=False)
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if __name__ == "__main__":
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main()
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