Update ui/ui_core.py
Browse files- ui/ui_core.py +19 -3
ui/ui_core.py
CHANGED
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@@ -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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# β
Add src to Python path
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "src")))
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@@ -16,9 +17,24 @@ def extract_all_text_from_csv_or_excel(file_path, progress=None, index=0, total=
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df = pd.read_excel(file_path)
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else:
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return f"Unsupported spreadsheet format: {file_path}"
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if progress:
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progress((index + 1) / total, desc=f"Processed table: {os.path.basename(file_path)}")
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except Exception as e:
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return f"Error parsing file: {e}"
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@@ -41,7 +57,7 @@ def extract_all_text_from_pdf(file_path, progress=None, index=0, total=1):
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def create_ui(agent: TxAgent):
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("<h1 style='text-align: center;'
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chatbot = gr.Chatbot(label="CPS Assistant", height=600, type="messages")
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file_upload = gr.File(
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@@ -104,4 +120,4 @@ 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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from tabulate import tabulate
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# β
Add src to Python path
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "src")))
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df = pd.read_excel(file_path)
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else:
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return f"Unsupported spreadsheet format: {file_path}"
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+
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if progress:
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progress((index + 1) / total, desc=f"Processed table: {os.path.basename(file_path)}")
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# Group by "Booking Number" or "Form Name" if available
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if "Booking Number" in df.columns:
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groups = df.groupby("Booking Number")
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elif "Form Name" in df.columns:
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groups = df.groupby("Form Name")
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else:
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return tabulate(df, headers="keys", tablefmt="github", showindex=False)
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result = []
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for group_name, group_df in groups:
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result.append(f"\n### Group: {group_name}\n")
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result.append(tabulate(group_df, headers="keys", tablefmt="github", showindex=False))
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return "\n".join(result)
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except Exception as e:
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return f"Error parsing file: {e}"
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def create_ui(agent: TxAgent):
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("<h1 style='text-align: center;'>π CPS: Clinical Patient Support System</h1>")
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chatbot = gr.Chatbot(label="CPS Assistant", height=600, type="messages")
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file_upload = gr.File(
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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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