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Update app.py
Browse files
app.py
CHANGED
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@@ -12,6 +12,7 @@ selected_row_index = None
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# Initialize an empty DataFrame
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filtered_data = pd.DataFrame()
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# Function to load JSONL file into a DataFrame
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def load_jsonl(file_path):
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data = []
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@@ -24,32 +25,30 @@ def load_jsonl(file_path):
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def filter_by_keyword(df, keyword):
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return df[df.apply(lambda row: row.astype(str).str.contains(keyword).any(), axis=1)]
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# Function to generate HTML5 code with embedded text
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def generate_html(question_text, answer_text):
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return f'''
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<!DOCTYPE html>
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<html>
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<head>
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<title>Read It Aloud</title>
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<script type="text/javascript">
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function readAloud(
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const text = document.getElementById(id).innerText;
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const speech = new SpeechSynthesisUtterance(text);
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window.speechSynthesis.speak(speech);
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}}
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</script>
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</head>
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<body>
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<h1>🔊 Read It Aloud</h1>
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<p id="questionArea">{question_text}</p>
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<button onclick="readAloud(
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<p id="answerArea">{answer_text}</p>
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<button onclick="readAloud('answerArea')">🔊 Read Answer Aloud</button>
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</body>
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</html>
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'''
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# Streamlit App
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st.title("Medical Licensing Exam Explorer with Speech Synthesis, Plotly and Seaborn 📊")
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@@ -76,17 +75,18 @@ if st.button("Search"):
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st.write(f"Filtered Dataset by '{search_keyword}'")
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selected_data = st.dataframe(filtered_data)
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# Button to read
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if st.button("Read
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if
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else:
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st.warning("
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# Plotly and Seaborn charts for EDA
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if st.button("Generate Charts"):
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# Initialize an empty DataFrame
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filtered_data = pd.DataFrame()
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# Function to load JSONL file into a DataFrame
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def load_jsonl(file_path):
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data = []
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def filter_by_keyword(df, keyword):
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return df[df.apply(lambda row: row.astype(str).str.contains(keyword).any(), axis=1)]
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# Function to generate HTML5 code with embedded text
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def generate_html(question_text, answer_text, idx):
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return f'''
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<!DOCTYPE html>
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<html>
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<head>
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<title>Read It Aloud</title>
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<script type="text/javascript">
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function readAloud{id}() {{
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const text = document.getElementById("questionArea{id}").innerText;
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const speech = new SpeechSynthesisUtterance(text);
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window.speechSynthesis.speak(speech);
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}}
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</script>
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</head>
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<body>
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<h1>🔊 Read It Aloud - Row {idx}</h1>
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<p id="questionArea{id}">{question_text}</p>
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<button onclick="readAloud{id}()">🔊 Read Question Aloud</button>
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</body>
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</html>
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'''
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# Streamlit App
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st.title("Medical Licensing Exam Explorer with Speech Synthesis, Plotly and Seaborn 📊")
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st.write(f"Filtered Dataset by '{search_keyword}'")
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selected_data = st.dataframe(filtered_data)
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# Button to read all filtered rows
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if st.button("Read All Rows"):
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if not filtered_data.empty:
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html_blocks = []
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for idx, row in filtered_data.iterrows():
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question_text = row.get("question", "No question field")
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documentHTML5 = generate_html(question_text, "", idx)
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html_blocks.append(documentHTML5)
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all_html = ''.join(html_blocks)
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components.html(all_html, width=1280, height=1024)
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else:
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st.warning("No rows to read.")
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# Plotly and Seaborn charts for EDA
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if st.button("Generate Charts"):
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