Update ui/ui_core.py

ui/ui_core.py

@@ -1,42 +1,20 @@
 # 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>"
-    )
+import gradio as gr
 
 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")
+        
+        file_upload = gr.File(label="Upload Medical File", file_types=[".pdf", ".txt", ".docx", ".jpg", ".png"])
         message_input = gr.Textbox(placeholder="Ask a biomedical question...", show_label=False)
         send_button = gr.Button("Send", variant="primary")
         conversation_state = gr.State([])
+        file_state = gr.State(None)
 
-        def handle_chat(message, history, conversation):
+        def handle_chat(message, history, conversation, uploaded_file):
+            # Use the file with the message
             generator = agent.run_gradio_chat(
                 message=message,
                 history=history,
@@ -45,24 +23,21 @@ def create_ui(agent):
                 max_token=8192,
                 call_agent=False,
                 conversation=conversation,
+                uploaded_file=uploaded_file,
                 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>")
+                yield update
+
+        inputs = [message_input, chatbot, conversation_state, file_upload]
+        send_button.click(fn=handle_chat, inputs=inputs, outputs=chatbot)
+        message_input.submit(fn=handle_chat, inputs=inputs, outputs=chatbot)
+
+        gr.Examples(
+            examples=[
+                ["Upload the files"],
+            ],
+            inputs=message_input,
+        )
 
     return demo