Update app.py
Browse files
app.py
CHANGED
@@ -43,11 +43,14 @@ os.environ.update({
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"TOKENIZERS_PARALLELISM": "false",
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"CUDA_LAUNCH_BLOCKING": "1"
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})
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current_dir = os.path.dirname(os.path.abspath(__file__))
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src_path = os.path.abspath(os.path.join(current_dir, "src"))
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sys.path.insert(0, src_path)
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from txagent.txagent import TxAgent
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# ==================== CORE COMPONENTS ====================
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class FileProcessor:
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"""Handles all file processing operations"""
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@@ -294,7 +297,7 @@ class ClinicalAgent:
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full_response += cleaned + " "
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yield {"role": "assistant", "content": full_response}
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-
def analyze_records(self, message: str, history: List[Dict], files: List) -> Generator[
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"""Main analysis workflow"""
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outputs = {
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"chatbot": history.copy(),
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@@ -302,13 +305,13 @@ class ClinicalAgent:
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"final_summary": "",
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"progress": {"value": "Initializing...", "visible": True}
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}
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-
yield outputs
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try:
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# Add user message
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history.append({"role": "user", "content": message})
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outputs["chatbot"] = history
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-
yield outputs
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# Process files
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extracted = []
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@@ -329,7 +332,7 @@ class ClinicalAgent:
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try:
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extracted.extend(future.result())
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outputs["progress"] = self._format_progress(i, len(files), "Processing files")
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yield outputs
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except Exception as e:
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logger.error(f"File processing failed: {e}")
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extracted.append({"error": str(e)})
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@@ -342,7 +345,7 @@ class ClinicalAgent:
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"chatbot": history,
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"progress": self._format_progress(len(files), len(files), "Files processed")
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})
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yield outputs
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# Analyze content
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text_content = "\n".join(json.dumps(item) for item in extracted)
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@@ -365,7 +368,7 @@ Document Excerpt (Part {idx}/{len(chunks)}):
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"chatbot": history,
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"progress": self._format_progress(idx, len(chunks), "Analyzing")
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})
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yield outputs
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# Stream analysis
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chunk_response = ""
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@@ -376,7 +379,7 @@ Document Excerpt (Part {idx}/{len(chunks)}):
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"chatbot": history,
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"progress": self._format_progress(idx, len(chunks), "Analyzing")
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})
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yield outputs
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full_analysis += f"--- Analysis Part {idx} ---\n{chunk_response}\n"
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torch.cuda.empty_cache()
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@@ -395,7 +398,7 @@ Document Excerpt (Part {idx}/{len(chunks)}):
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"final_summary": summary,
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"progress": {"visible": False}
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})
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yield outputs
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except Exception as e:
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logger.error(f"Analysis failed: {e}")
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@@ -405,7 +408,7 @@ Document Excerpt (Part {idx}/{len(chunks)}):
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"final_summary": f"Error: {str(e)}",
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"progress": {"visible": False}
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})
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yield outputs
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def _format_progress(self, current: int, total: int, stage: str = "") -> Dict[str, Any]:
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"""Format progress update for UI"""
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@@ -414,6 +417,315 @@ Document Excerpt (Part {idx}/{len(chunks)}):
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def create_interface(self) -> gr.Blocks:
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"""Build the Gradio interface"""
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with gr.Blocks(
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theme=gr.themes.Soft(
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primary_hue="indigo",
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@@ -421,30 +733,13 @@ Document Excerpt (Part {idx}/{len(chunks)}):
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neutral_hue="slate"
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),
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title="Clinical Oversight Assistant",
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css=
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-
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border-left: 4px solid #4f46e5;
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padding: 16px;
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background: #f8fafc;
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border-radius: 8px;
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margin-bottom: 16px;
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}
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.upload-area {
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border: 2px dashed #cbd5e1;
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border-radius: 8px;
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padding: 24px;
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margin: 12px 0;
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}
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.chat-container {
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border-radius: 8px;
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border: 1px solid #e2e8f0;
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}
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"""
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) as app:
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# Header
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gr.Markdown("""
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<div style='text-align: center; margin-bottom: 24px;'>
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<h1 style='color:
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<p style='color: #64748b;'>
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AI-powered analysis for identifying potential missed diagnoses in patient records
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</p>
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@@ -454,7 +749,9 @@ Document Excerpt (Part {idx}/{len(chunks)}):
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with gr.Row(equal_height=False):
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# Main Chat Panel
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with gr.Column(scale=3):
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gr.Markdown(
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chatbot = gr.Chatbot(
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label="",
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height=650,
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# Results Panel
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with gr.Column(scale=1):
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with gr.Group():
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gr.Markdown(
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final_summary = gr.Markdown(
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"Analysis results will appear here
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elem_classes=["summary-panel"]
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)
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with gr.Group():
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gr.Markdown(
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download_output = gr.File(
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label="Download Full Analysis",
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visible=False,
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@@ -491,29 +792,36 @@ Document Excerpt (Part {idx}/{len(chunks)}):
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file_types=[".pdf", ".csv", ".xls", ".xlsx"],
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file_count="multiple",
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label="Upload Patient Records",
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elem_classes=["upload-area"]
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)
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with gr.Row():
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user_input = gr.Textbox(
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placeholder="Enter your clinical query or analysis request...",
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show_label=False,
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container=False,
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scale=7,
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autofocus=True
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)
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submit_btn = gr.Button(
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"Analyze",
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variant="primary",
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scale=1,
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min_width=120
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)
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# Hidden progress tracker
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progress_tracker = gr.Textbox(
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label="Analysis Progress",
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visible=False,
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interactive=False
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)
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# Event handlers
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@@ -532,7 +840,7 @@ Document Excerpt (Part {idx}/{len(chunks)}):
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)
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app.load(
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lambda: [[], None, "", "", None, {"visible": False}],
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outputs=[chatbot, download_output, final_summary, user_input, file_upload, progress_tracker],
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queue=False
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)
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"TOKENIZERS_PARALLELISM": "false",
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"CUDA_LAUNCH_BLOCKING": "1"
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})
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+
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+
# Add src path for txagent
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current_dir = os.path.dirname(os.path.abspath(__file__))
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src_path = os.path.abspath(os.path.join(current_dir, "src"))
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sys.path.insert(0, src_path)
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from txagent.txagent import TxAgent
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+
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# ==================== CORE COMPONENTS ====================
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class FileProcessor:
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"""Handles all file processing operations"""
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full_response += cleaned + " "
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yield {"role": "assistant", "content": full_response}
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+
def analyze_records(self, message: str, history: List[Dict], files: List) -> Generator[tuple, None, None]:
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"""Main analysis workflow"""
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outputs = {
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"chatbot": history.copy(),
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"final_summary": "",
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"progress": {"value": "Initializing...", "visible": True}
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}
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+
yield (outputs["chatbot"], outputs["download_output"], outputs["final_summary"], outputs["progress"])
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try:
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# Add user message
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history.append({"role": "user", "content": message})
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outputs["chatbot"] = history
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+
yield (outputs["chatbot"], outputs["download_output"], outputs["final_summary"], outputs["progress"])
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# Process files
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extracted = []
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try:
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extracted.extend(future.result())
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outputs["progress"] = self._format_progress(i, len(files), "Processing files")
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+
yield (outputs["chatbot"], outputs["download_output"], outputs["final_summary"], outputs["progress"])
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except Exception as e:
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logger.error(f"File processing failed: {e}")
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extracted.append({"error": str(e)})
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"chatbot": history,
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"progress": self._format_progress(len(files), len(files), "Files processed")
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})
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+
yield (outputs["chatbot"], outputs["download_output"], outputs["final_summary"], outputs["progress"])
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# Analyze content
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text_content = "\n".join(json.dumps(item) for item in extracted)
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"chatbot": history,
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"progress": self._format_progress(idx, len(chunks), "Analyzing")
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})
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+
yield (outputs["chatbot"], outputs["download_output"], outputs["final_summary"], outputs["progress"])
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# Stream analysis
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chunk_response = ""
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"chatbot": history,
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"progress": self._format_progress(idx, len(chunks), "Analyzing")
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})
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+
yield (outputs["chatbot"], outputs["download_output"], outputs["final_summary"], outputs["progress"])
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full_analysis += f"--- Analysis Part {idx} ---\n{chunk_response}\n"
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torch.cuda.empty_cache()
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"final_summary": summary,
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"progress": {"visible": False}
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})
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+
yield (outputs["chatbot"], outputs["download_output"], outputs["final_summary"], outputs["progress"])
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except Exception as e:
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logger.error(f"Analysis failed: {e}")
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"final_summary": f"Error: {str(e)}",
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"progress": {"visible": False}
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})
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+
yield (outputs["chatbot"], outputs["download_output"], outputs["final_summary"], outputs["progress"])
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def _format_progress(self, current: int, total: int, stage: str = "") -> Dict[str, Any]:
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"""Format progress update for UI"""
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417 |
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def create_interface(self) -> gr.Blocks:
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"""Build the Gradio interface"""
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+
css = """
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/* ==================== BASE STYLES ==================== */
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:root {
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--primary-color: #4f46e5;
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--primary-dark: #4338ca;
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+
--border-radius: 8px;
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+
--transition: all 0.3s ease;
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+
--shadow: 0 4px 12px rgba(0,0,0,0.1);
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428 |
+
--font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
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+
--background: #ffffff;
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--text-color: #1e293b;
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+
--chat-bg: #f8fafc;
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+
--message-bg: #e2e8f0;
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+
--panel-bg: rgba(248, 250, 252, 0.9);
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--panel-dark-bg: rgba(30, 41, 59, 0.9);
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}
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+
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[data-theme="dark"] {
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--background: #1e2a44;
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439 |
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--text-color: #f1f5f9;
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--chat-bg: #2d3b55;
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--message-bg: #475569;
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--panel-bg: var(--panel-dark-bg);
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}
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+
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body, .gradio-container {
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font-family: var(--font-family);
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447 |
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background: var(--background);
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448 |
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color: var(--text-color);
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449 |
+
margin: 0;
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450 |
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padding: 0;
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transition: var(--transition);
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}
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453 |
+
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454 |
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/* ==================== LAYOUT ==================== */
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455 |
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.gradio-container {
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456 |
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max-width: 1200px;
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457 |
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margin: 0 auto;
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458 |
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padding: 1.5rem;
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459 |
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display: flex;
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460 |
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flex-direction: column;
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461 |
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gap: 1.5rem;
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}
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+
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.chat-container {
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background: var(--chat-bg);
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466 |
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border-radius: var(--border-radius);
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467 |
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border: 1px solid #e2e8f0;
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468 |
+
padding: 1.5rem;
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469 |
+
min-height: 50vh;
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+
max-height: 80vh;
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471 |
+
overflow-y: auto;
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472 |
+
box-shadow: var(--shadow);
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473 |
+
margin-bottom: 4rem;
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}
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475 |
+
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476 |
+
.summary-panel {
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477 |
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background: var(--panel-bg);
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478 |
+
border-left: 4px solid var(--primary-color);
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479 |
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padding: 1rem;
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480 |
+
border-radius: var(--border-radius);
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481 |
+
margin-bottom: 1rem;
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482 |
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box-shadow: var(--shadow);
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483 |
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backdrop-filter: blur(8px);
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484 |
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}
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485 |
+
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486 |
+
.upload-area {
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487 |
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border: 2px dashed #cbd5e1;
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488 |
+
border-radius: var(--border-radius);
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489 |
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padding: 1.5rem;
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490 |
+
margin: 0.75rem 0;
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491 |
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transition: var(--transition);
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492 |
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}
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+
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494 |
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.upload-area:hover {
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495 |
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border-color: var(--primary-color);
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496 |
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background: rgba(79, 70, 229, 0.05);
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}
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+
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499 |
+
/* ==================== COMPONENTS ==================== */
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.chat__message {
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margin: 0.75rem 0;
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padding: 0.75rem 1rem;
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border-radius: var(--border-radius);
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max-width: 85%;
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transition: var(--transition);
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background: var(--message-bg);
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border: 1px solid rgba(0,0,0,0.05);
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animation: messageFade 0.3s ease;
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}
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+
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.chat__message:hover {
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transform: translateY(-2px);
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box-shadow: 0 2px 4px rgba(0,0,0,0.1);
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}
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+
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.chat__message.user {
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background: linear-gradient(135deg, var(--primary-color), var(--primary-dark));
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color: white;
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margin-left: auto;
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}
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+
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.chat__message.assistant {
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background: var(--message-bg);
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color: var(--text-color);
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}
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+
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.input-container {
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display: flex;
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align-items: center;
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gap: 0.75rem;
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background: var(--chat-bg);
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padding: 0.75rem 1rem;
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border-radius: 1.5rem;
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box-shadow: var(--shadow);
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position: sticky;
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bottom: 1rem;
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z-index: 10;
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}
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+
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.input__textbox {
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flex-grow: 1;
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border: none;
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background: transparent;
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color: var(--text-color);
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outline: none;
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font-size: 1rem;
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}
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+
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.input__textbox:focus {
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border-bottom: 2px solid var(--primary-color);
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}
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+
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.submit-btn {
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background: linear-gradient(135deg, var(--primary-color), var(--primary-dark));
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color: white;
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border: none;
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border-radius: 1rem;
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padding: 0.5rem 1.25rem;
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font-size: 0.9rem;
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transition: var(--transition);
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}
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+
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.submit-btn:hover {
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transform: scale(1.05);
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}
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.submit-btn:active {
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animation: glow 0.3s ease;
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}
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+
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.tooltip {
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position: relative;
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}
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+
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.tooltip:hover::after {
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content: attr(data-tip);
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position: absolute;
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top: -2.5rem;
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left: 50%;
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transform: translateX(-50%);
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background: #1e293b;
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color: white;
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padding: 0.4rem 0.8rem;
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border-radius: 0.4rem;
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font-size: 0.85rem;
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max-width: 200px;
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white-space: normal;
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text-align: center;
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z-index: 1000;
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animation: fadeIn 0.3s ease;
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}
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+
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.progress-tracker {
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position: relative;
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padding: 0.5rem;
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background: var(--message-bg);
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border-radius: var(--border-radius);
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margin-top: 0.75rem;
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overflow: hidden;
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}
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+
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.progress-tracker::before {
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content: '';
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position: absolute;
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top: 0;
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left: 0;
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height: 100%;
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width: 0;
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background: linear-gradient(to right, var(--primary-color), var(--primary-dark));
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opacity: 0.3;
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animation: progress 2s ease-in-out infinite;
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}
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+
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/* ==================== ANIMATIONS ==================== */
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@keyframes glow {
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0%, 100% { transform: scale(1); opacity: 1; }
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50% { transform: scale(1.1); opacity: 0.8; }
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}
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@keyframes fadeIn {
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from { opacity: 0; }
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to { opacity: 1; }
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}
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+
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@keyframes messageFade {
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from { opacity: 0; transform: translateY(10px) scale(0.95); }
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to { opacity: 1; transform: translateY(0) scale(1); }
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}
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+
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@keyframes progress {
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0% { width: 0; }
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50% { width: 60%; }
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100% { width: 0; }
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}
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+
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/* ==================== THEMES ==================== */
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[data-theme="dark"] .chat-container {
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border-color: #475569;
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}
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[data-theme="dark"] .upload-area {
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border-color: #64748b;
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}
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[data-theme="dark"] .upload-area:hover {
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background: rgba(79, 70, 229, 0.1);
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}
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[data-theme="dark"] .summary-panel {
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border-left-color: #818cf8;
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}
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/* ==================== MEDIA QUERIES ==================== */
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@media (max-width: 768px) {
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.gradio-container {
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padding: 1rem;
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}
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.chat-container {
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min-height: 40vh;
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max-height: 70vh;
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margin-bottom: 3.5rem;
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}
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.summary-panel {
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padding: 0.75rem;
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}
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.upload-area {
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padding: 1rem;
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}
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.input-container {
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gap: 0.5rem;
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padding: 0.5rem;
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}
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.submit-btn {
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padding: 0.4rem 1rem;
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}
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}
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@media (max-width: 480px) {
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.chat-container {
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padding: 1rem;
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margin-bottom: 3rem;
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}
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.input-container {
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flex-direction: column;
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padding: 0.5rem;
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}
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.input__textbox {
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font-size: 0.9rem;
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}
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.submit-btn {
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width: 100%;
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padding: 0.5rem;
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font-size: 0.85rem;
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}
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.chat__message {
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max-width: 90%;
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padding: 0.5rem 0.75rem;
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}
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.tooltip:hover::after {
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top: auto;
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bottom: -2.5rem;
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max-width: 80vw;
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}
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}
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"""
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js = """
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function applyTheme(theme) {
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document.documentElement.setAttribute('data-theme', theme);
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localStorage.setItem('theme', theme);
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}
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+
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document.addEventListener('DOMContentLoaded', () => {
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const savedTheme = localStorage.getItem('theme') || 'light';
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applyTheme(savedTheme);
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});
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"""
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with gr.Blocks(
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theme=gr.themes.Soft(
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primary_hue="indigo",
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neutral_hue="slate"
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),
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title="Clinical Oversight Assistant",
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css=css,
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js=js
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) as app:
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# Header
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gr.Markdown("""
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<div style='text-align: center; margin-bottom: 24px;'>
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+
<h1 style='color: var(--primary-color); margin-bottom: 8px;'>🩺 Clinical Oversight Assistant</h1>
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<p style='color: #64748b;'>
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AI-powered analysis for identifying potential missed diagnoses in patient records
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</p>
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with gr.Row(equal_height=False):
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# Main Chat Panel
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with gr.Column(scale=3):
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gr.Markdown(
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"<div class='tooltip' data-tip='View conversation history'>**Clinical Analysis Conversation**</div>"
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)
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chatbot = gr.Chatbot(
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label="",
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height=650,
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# Results Panel
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with gr.Column(scale=1):
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with gr.Group():
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+
gr.Markdown(
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772 |
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"<div class='tooltip' data-tip='Summary of findings'>**Clinical Summary**</div>"
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+
)
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final_summary = gr.Markdown(
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+
"<div class='tooltip' data-tip='Analysis results'>Analysis results will appear here...</div>",
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elem_classes=["summary-panel"]
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)
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779 |
with gr.Group():
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+
gr.Markdown(
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+
"<div class='tooltip' data-tip='Download report'>**Report Export**</div>"
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782 |
+
)
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783 |
download_output = gr.File(
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784 |
label="Download Full Analysis",
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785 |
visible=False,
|
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792 |
file_types=[".pdf", ".csv", ".xls", ".xlsx"],
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793 |
file_count="multiple",
|
794 |
label="Upload Patient Records",
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795 |
+
elem_classes=["upload-area"],
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796 |
+
elem_id="file-upload"
|
797 |
)
|
798 |
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799 |
+
with gr.Row(elem_classes=["input-container"]):
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800 |
user_input = gr.Textbox(
|
801 |
placeholder="Enter your clinical query or analysis request...",
|
802 |
show_label=False,
|
803 |
container=False,
|
804 |
scale=7,
|
805 |
+
autofocus=True,
|
806 |
+
elem_classes=["input__textbox"],
|
807 |
+
elem_id="user-input"
|
808 |
)
|
809 |
submit_btn = gr.Button(
|
810 |
"Analyze",
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811 |
variant="primary",
|
812 |
scale=1,
|
813 |
+
min_width=120,
|
814 |
+
elem_classes=["submit-btn"],
|
815 |
+
elem_id="submit-btn"
|
816 |
)
|
817 |
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818 |
# Hidden progress tracker
|
819 |
progress_tracker = gr.Textbox(
|
820 |
label="Analysis Progress",
|
821 |
visible=False,
|
822 |
+
interactive=False,
|
823 |
+
elem_classes=["progress-tracker"],
|
824 |
+
elem_id="progress-tracker"
|
825 |
)
|
826 |
|
827 |
# Event handlers
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|
840 |
)
|
841 |
|
842 |
app.load(
|
843 |
+
lambda: [[], None, "<div class='tooltip' data-tip='Analysis results'>Analysis results will appear here...</div>", "", None, {"visible": False}],
|
844 |
outputs=[chatbot, download_output, final_summary, user_input, file_upload, progress_tracker],
|
845 |
queue=False
|
846 |
)
|