Create ui/ui_core.py

ui/ui_core.py

@@ -0,0 +1,68 @@
+# ui/ui_core.py
+import gradio as gr
+import json
+
+question_examples = [
+    ["Given a patient with WHIM syndrome on prophylactic antibiotics, is it advisable to co-administer Xolremdi with fluconazole?"],
+    ["What treatment options exist for HER2+ breast cancer resistant to trastuzumab?"]
+]
+
+def extract_tool_name_and_clean_content(msg):
+    tool_name = "Tool Result"
+    content = msg.get("content") if isinstance(msg, dict) else getattr(msg, "content", "")
+    try:
+        parsed = json.loads(content)
+        if isinstance(parsed, dict):
+            tool_name = parsed.get("tool_name", tool_name)
+            content = parsed.get("content", content)
+    except Exception:
+        pass
+    if isinstance(content, (dict, list)):
+        content = json.dumps(content, indent=2)
+    return f"Tool: {tool_name}", content
+
+def format_collapsible(content, title="Answer"):
+    return (
+        f"<details style='border: 1px solid #ccc; border-radius: 8px; padding: 10px; margin-top: 10px;'>"
+        f"<summary style='font-size: 16px; font-weight: bold; color: #3B82F6;'>{title}</summary>"
+        f"<div style='margin-top: 8px; font-size: 15px; line-height: 1.6; white-space: pre-wrap;'>{content}</div></details>"
+    )
+
+def create_ui(agent):
+    with gr.Blocks(theme=gr.themes.Soft()) as demo:
+        gr.Markdown("<h1 style='text-align: center;'>💊 TxAgent: Therapeutic Reasoning</h1>")
+        chatbot = gr.Chatbot(label="TxAgent", height=600, type="messages")
+        message_input = gr.Textbox(placeholder="Ask a biomedical question...", show_label=False)
+        send_button = gr.Button("Send", variant="primary")
+        conversation_state = gr.State([])
+
+        def handle_chat(message, history, conversation):
+            generator = agent.run_gradio_chat(
+                message=message,
+                history=history,
+                temperature=0.3,
+                max_new_tokens=1024,
+                max_token=8192,
+                call_agent=False,
+                conversation=conversation,
+                max_round=30
+            )
+            for update in generator:
+                formatted = []
+                for m in update:
+                    role = m.get("role") if isinstance(m, dict) else getattr(m, "role", "assistant")
+                    if role == "assistant":
+                        title, clean = extract_tool_name_and_clean_content(m)
+                        content = format_collapsible(clean, title)
+                    else:
+                        content = m.get("content") if isinstance(m, dict) else getattr(m, "content", "")
+                    formatted.append({"role": role, "content": content})
+                yield formatted
+
+        send_button.click(fn=handle_chat, inputs=[message_input, chatbot, conversation_state], outputs=chatbot)
+        message_input.submit(fn=handle_chat, inputs=[message_input, chatbot, conversation_state], outputs=chatbot)
+
+        gr.Examples(examples=question_examples, inputs=message_input)
+        gr.Markdown("<small style='color: gray;'>DISCLAIMER: This demo is for research purposes only and does not provide medical advice.</small>")
+
+    return demo