Spaces:
Runtime error
Runtime error
File size: 10,000 Bytes
d7a7846 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 |
import re
import gradio as gr
from pathlib import Path
import time
import shutil
from typing import AsyncGenerator, List, Optional, Tuple
from gradio import ChatMessage
class ChatInterface:
"""
A chat interface for interacting with a medical AI agent through Gradio.
Handles file uploads, message processing, and chat history management.
Supports both regular image files and DICOM medical imaging files.
"""
def __init__(self, agent, tools_dict):
"""
Initialize the chat interface.
Args:
agent: The medical AI agent to handle requests
tools_dict (dict): Dictionary of available tools for image processing
"""
self.agent = agent
self.tools_dict = tools_dict
self.upload_dir = Path("temp")
self.upload_dir.mkdir(exist_ok=True)
self.current_thread_id = None
# Separate storage for original and display paths
self.original_file_path = None # For LLM (.dcm or other)
self.display_file_path = None # For UI (always viewable format)
def handle_upload(self, file_path: str) -> str:
"""
Handle new file upload and set appropriate paths.
Args:
file_path (str): Path to the uploaded file
Returns:
str: Display path for UI, or None if no file uploaded
"""
if not file_path:
return None
source = Path(file_path)
timestamp = int(time.time())
# Save original file with proper suffix
suffix = source.suffix.lower()
saved_path = self.upload_dir / f"upload_{timestamp}{suffix}"
shutil.copy2(file_path, saved_path) # Use file_path directly instead of source
self.original_file_path = str(saved_path)
# Handle DICOM conversion for display only
if suffix == ".dcm":
output, _ = self.tools_dict["DicomProcessorTool"]._run(str(saved_path))
self.display_file_path = output["image_path"]
else:
self.display_file_path = str(saved_path)
return self.display_file_path
def add_message(
self, message: str, display_image: str, history: List[dict]
) -> Tuple[List[dict], gr.Textbox]:
"""
Add a new message to the chat history.
Args:
message (str): Text message to add
display_image (str): Path to image being displayed
history (List[dict]): Current chat history
Returns:
Tuple[List[dict], gr.Textbox]: Updated history and textbox component
"""
image_path = self.original_file_path or display_image
if image_path is not None:
history.append({"role": "user", "content": {"path": image_path}})
if message is not None:
history.append({"role": "user", "content": message})
return history, gr.Textbox(value=message, interactive=False)
async def process_message(
self, message: str, display_image: Optional[str], chat_history: List[ChatMessage]
) -> AsyncGenerator[Tuple[List[ChatMessage], Optional[str], str], None]:
"""
Process a message and generate responses.
Args:
message (str): User message to process
display_image (Optional[str]): Path to currently displayed image
chat_history (List[ChatMessage]): Current chat history
Yields:
Tuple[List[ChatMessage], Optional[str], str]: Updated chat history, display path, and empty string
"""
chat_history = chat_history or []
# Initialize thread if needed
if not self.current_thread_id:
self.current_thread_id = str(time.time())
messages = []
image_path = self.original_file_path or display_image
if image_path is not None:
messages.append({"role": "user", "content": f"path: {image_path}"})
if message is not None:
messages.append({"role": "user", "content": message})
try:
for event in self.agent.workflow.stream(
{"messages": messages}, {"configurable": {"thread_id": self.current_thread_id}}
):
if isinstance(event, dict):
if "process" in event:
content = event["process"]["messages"][-1].content
if content:
content = re.sub(r"temp/[^\s]*", "", content)
chat_history.append(ChatMessage(role="assistant", content=content))
yield chat_history, self.display_file_path, ""
elif "execute" in event:
for message in event["execute"]["messages"]:
tool_name = message.name
tool_result = eval(message.content)[0]
if tool_result:
metadata = {"title": f"🖼️ Image from tool: {tool_name}"}
formatted_result = " ".join(
line.strip() for line in str(tool_result).splitlines()
).strip()
metadata["description"] = formatted_result
chat_history.append(
ChatMessage(
role="assistant",
content=formatted_result,
metadata=metadata,
)
)
# For image_visualizer, use display path
if tool_name == "image_visualizer":
self.display_file_path = tool_result["image_path"]
chat_history.append(
ChatMessage(
role="assistant",
# content=gr.Image(value=self.display_file_path),
content={"path": self.display_file_path},
)
)
yield chat_history, self.display_file_path, ""
except Exception as e:
chat_history.append(
ChatMessage(
role="assistant", content=f"❌ Error: {str(e)}", metadata={"title": "Error"}
)
)
yield chat_history, self.display_file_path
def create_demo(agent, tools_dict):
"""
Create a Gradio demo interface for the medical AI agent.
Args:
agent: The medical AI agent to handle requests
tools_dict (dict): Dictionary of available tools for image processing
Returns:
gr.Blocks: Gradio Blocks interface
"""
interface = ChatInterface(agent, tools_dict)
with gr.Blocks(theme=gr.themes.Soft()) as demo:
with gr.Column():
gr.Markdown(
"""
# 🏥 MedRAX
Medical Reasoning Agent for Chest X-ray
"""
)
with gr.Row():
with gr.Column(scale=3):
chatbot = gr.Chatbot(
[],
height=800,
container=True,
show_label=True,
elem_classes="chat-box",
type="messages",
label="Agent",
avatar_images=(
None,
"assets/medrax_logo.jpg",
),
)
with gr.Row():
with gr.Column(scale=3):
txt = gr.Textbox(
show_label=False,
placeholder="Ask about the X-ray...",
container=False,
)
with gr.Column(scale=3):
image_display = gr.Image(
label="Image", type="filepath", height=700, container=True
)
with gr.Row():
upload_button = gr.UploadButton(
"📎 Upload X-Ray",
file_types=["image"],
)
dicom_upload = gr.UploadButton(
"📄 Upload DICOM",
file_types=["file"],
)
with gr.Row():
clear_btn = gr.Button("Clear Chat")
new_thread_btn = gr.Button("New Thread")
# Event handlers
def clear_chat():
interface.original_file_path = None
interface.display_file_path = None
return [], None
def new_thread():
interface.current_thread_id = str(time.time())
return [], interface.display_file_path
def handle_file_upload(file):
return interface.handle_upload(file.name)
chat_msg = txt.submit(
interface.add_message, inputs=[txt, image_display, chatbot], outputs=[chatbot, txt]
)
bot_msg = chat_msg.then(
interface.process_message,
inputs=[txt, image_display, chatbot],
outputs=[chatbot, image_display, txt],
)
bot_msg.then(lambda: gr.Textbox(interactive=True), None, [txt])
upload_button.upload(handle_file_upload, inputs=upload_button, outputs=image_display)
dicom_upload.upload(handle_file_upload, inputs=dicom_upload, outputs=image_display)
clear_btn.click(clear_chat, outputs=[chatbot, image_display])
new_thread_btn.click(new_thread, outputs=[chatbot, image_display])
return demo
|