Update ui/ui_core.py
Browse files- ui/ui_core.py +20 -19
ui/ui_core.py
CHANGED
@@ -3,6 +3,7 @@ import os
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import pandas as pd
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import pdfplumber
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import gradio as gr
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from typing import List
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# ✅ Fix: Add src to Python path
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@@ -13,6 +14,9 @@ from txagent.txagent import TxAgent
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def sanitize_utf8(text: str) -> str:
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return text.encode("utf-8", "ignore").decode("utf-8")
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def extract_all_text_from_csv_or_excel(file_path: str, progress=None, index=0, total=1) -> str:
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try:
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if not os.path.exists(file_path):
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@@ -95,18 +99,14 @@ def create_ui(agent: TxAgent):
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"You are an expert clinical AI assistant reviewing medical form or interview data. "
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"Your job is to analyze this data and reason about any information or red flags that a human doctor might have overlooked. "
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"Provide a **detailed and structured response**, including examples, supporting evidence from the form, and clinical rationale for why these items matter. "
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"Do not hallucinate. Base the response only on the provided form content. "
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"End with a section labeled '🧠 Final Analysis' where you summarize key findings the doctor may have missed."
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)
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# Show centered loading message in chatbot
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updated_history = history + [
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{"role": "user", "content": message},
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{"role": "assistant", "content": "<div style='text-align:center'>⏳ Processing... Please wait while I analyze the files.</div>"}
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]
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yield updated_history
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try:
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extracted_text = ""
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if uploaded_files and isinstance(uploaded_files, list):
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total_files = len(uploaded_files)
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@@ -145,21 +145,22 @@ def create_ui(agent: TxAgent):
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)
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for update in generator:
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if isinstance(update, str):
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all_responses += update
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all_responses = sanitize_utf8(all_responses.strip())
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except Exception as chat_error:
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print(f"Chat error: {chat_error}")
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"role": "
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"content": "❌ An error occurred while processing your request.
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yield
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inputs = [message_input, chatbot, conversation_state, file_upload]
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send_button.click(fn=handle_chat, inputs=inputs, outputs=chatbot)
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@@ -171,4 +172,4 @@ def create_ui(agent: TxAgent):
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["Is there anything abnormal in the attached blood work report?"]
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], inputs=message_input)
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return demo
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import pandas as pd
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import pdfplumber
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import gradio as gr
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import re
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from typing import List
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# ✅ Fix: Add src to Python path
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def sanitize_utf8(text: str) -> str:
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return text.encode("utf-8", "ignore").decode("utf-8")
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def clean_final_response(response: str) -> str:
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return re.split(r"\\[TOOL_CALLS\\]", response)[0].strip()
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def extract_all_text_from_csv_or_excel(file_path: str, progress=None, index=0, total=1) -> str:
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try:
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if not os.path.exists(file_path):
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"You are an expert clinical AI assistant reviewing medical form or interview data. "
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"Your job is to analyze this data and reason about any information or red flags that a human doctor might have overlooked. "
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"Provide a **detailed and structured response**, including examples, supporting evidence from the form, and clinical rationale for why these items matter. "
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"Ensure the output is informative and helpful for improving patient care. "
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"Do not hallucinate. Base the response only on the provided form content. "
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"End with a section labeled '🧠 Final Analysis' where you summarize key findings the doctor may have missed."
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)
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try:
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yield history + [{"role": "assistant", "content": "⏳ **Processing... Please wait while I analyze the files.**"}]
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extracted_text = ""
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if uploaded_files and isinstance(uploaded_files, list):
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total_files = len(uploaded_files)
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)
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for update in generator:
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if isinstance(update, str):
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all_responses += update + "\n"
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all_responses = clean_final_response(sanitize_utf8(all_responses.strip()))
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final_history = history + [
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{"role": "user", "content": message},
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{"role": "assistant", "content": all_responses}
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]
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yield final_history
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except Exception as chat_error:
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print(f"Chat error: {chat_error}")
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final_history = history + [
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{"role": "user", "content": message},
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{"role": "assistant", "content": "❌ An error occurred while processing your request."}
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]
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yield final_history
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inputs = [message_input, chatbot, conversation_state, file_upload]
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send_button.click(fn=handle_chat, inputs=inputs, outputs=chatbot)
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["Is there anything abnormal in the attached blood work report?"]
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], inputs=message_input)
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return demo
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