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Update app.py
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app.py
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@@ -1,13 +1,11 @@
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import streamlit as st
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from docx import Document
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import
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from collections import Counter
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import io
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# Function to
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def
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document = Document(file)
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for paragraph in document.paragraphs:
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if "Name:" in paragraph.text and "Status:" in paragraph.text:
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@@ -18,52 +16,29 @@ def extract_name_status(file):
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if name_part and status_part:
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name = name_part.split(":")[1].strip()
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status = status_part.split(":")[1].strip()
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return
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# Function to create a bar chart for Name vs Status
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def create_graph(data):
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if not data:
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st.error("No valid Name-Status data found in the file.")
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return None
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statuses = [item[1] for item in data]
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# Count statuses
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status_counts = Counter(statuses)
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# Plotting the graph
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fig, ax = plt.subplots(figsize=(8, 6))
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ax.bar(status_counts.keys(), status_counts.values(), color="skyblue")
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ax.set_xlabel("Status", fontsize=14)
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ax.set_ylabel("Count", fontsize=14)
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ax.set_title("Graph: Name vs Status", fontsize=16)
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plt.tight_layout()
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return fig
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# Streamlit app
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st.title("
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st.write("Upload a Word file
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# File
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uploaded_file = st.file_uploader("Upload a Word file (.docx)", type="docx")
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if uploaded_file:
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try:
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#
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data =
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# Display extracted data
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if data:
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#
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st.pyplot(fig)
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else:
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st.error("No valid data found in the
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except Exception as e:
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st.error(f"An error occurred: {e}")
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import streamlit as st
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from docx import Document
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import pandas as pd
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# Function to parse the Word file
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def parse_word_file(file):
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document = Document(file)
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data = []
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for paragraph in document.paragraphs:
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if "Name:" in paragraph.text and "Status:" in paragraph.text:
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if name_part and status_part:
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name = name_part.split(":")[1].strip()
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status = status_part.split(":")[1].strip()
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data.append({"Name": name, "Status": status})
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return data
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# Streamlit app
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st.title("Display File Data in Separate Columns")
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st.write("Upload a Word file containing `Name` and `Status` data to display it in separate columns.")
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# File uploader
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uploaded_file = st.file_uploader("Upload a Word file (.docx)", type="docx")
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if uploaded_file:
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try:
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# Parse the file
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data = parse_word_file(uploaded_file)
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if data:
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# Convert to DataFrame for display
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df = pd.DataFrame(data)
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# Display the data in separate columns
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st.write("### Uploaded Data")
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st.dataframe(df)
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else:
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st.error("No valid Name-Status data found in the file.")
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except Exception as e:
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st.error(f"An error occurred: {e}")
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