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awacke1 commited on Dec 5, 2023

Commit

c4b88e2

1 Parent(s): 3c1d080

Update app.py

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Files changed (1) hide show

app.py +24 -35

app.py CHANGED Viewed

@@ -11,12 +11,14 @@ def load_jsonl(file_path):
             data.append(json.loads(line))
     return pd.DataFrame(data)
-# Function to filter DataFrame by keyword
-def filter_by_keyword(df, keyword):
-    return df[df.apply(lambda row: row.astype(str).str.contains(keyword).any(), axis=1)]
 # Function to generate HTML with textarea
-def generate_html_with_textarea(text_to_speak):
     return f'''
     <!DOCTYPE html>
     <html>
@@ -33,7 +35,7 @@ def generate_html_with_textarea(text_to_speak):
     <body>
         <h1>🔊 Read It Aloud</h1>
         <textarea id="textArea" rows="10" cols="80">
-    {text_to_speak}
         </textarea>
         <br>
         <button onclick="readAloud()">🔊 Read Aloud</button>
@@ -68,7 +70,7 @@ if 'last_clicked_row' not in st.session_state:
     st.session_state['last_clicked_row'] = None
-# Expander UI for common terms
 with st.expander("Search by Common Terms 📚"):
     cols = st.columns(4)
     for term in top_20_terms:
@@ -77,35 +79,22 @@ with st.expander("Search by Common Terms 📚"):
                 filtered_data = filter_by_keyword(data, term)
                 st.write(f"Filter on '{term}' 📊")
-                # Display the filtered dataframe in the sidebar with buttons for each row
-                with st.sidebar:
-                    st.write("Filtered Data:")
-                    st.dataframe(filtered_data)
-                    for idx, row in filtered_data.iterrows():
-                        if st.button(f"Select Row {idx}", key=f"row_{idx}"):
-                            st.session_state['last_clicked_row'] = idx
-                            # Generate HTML content for the selected row
-                            first_three_columns = row.iloc[:3]
-                            additional_info = ' '.join([f"{col}: {val}" for col, val in first_three_columns.items()])
-                            question_text = row.get("question", "No question field")
-                            full_text = f"{additional_info} Question: {question_text}"
-                            st.session_state['selected_row_html'] = generate_html_with_textarea(full_text)
-                # Check if 'last_clicked_row' is set and in the filtered data
-                if st.session_state['last_clicked_row'] is not None and st.session_state['last_clicked_row'] in filtered_data.index:
-                    # Display details of the selected row in the main area
-                    st.write("Selected Row Details:")
-                    selected_row = filtered_data.loc[st.session_state['last_clicked_row']]
-                    first_three_columns = selected_row.iloc[:3]
-                    for col in first_three_columns.index:
-                        st.write(f"{col}: {first_three_columns[col]}")
-                    # Display the HTML content for the selected row
-                    components.html(st.session_state['selected_row_html'], width=1280, height=1024)
 # Inject HTML5 and JavaScript for styling
 st.markdown("""

             data.append(json.loads(line))
     return pd.DataFrame(data)
+# Your filter_by_keyword function
+def filter_by_keyword(data, term):
+    # Your filtering logic here
+    return data[data['column_name'].str.contains(term)]
 # Function to generate HTML with textarea
+def generate_html_with_textarea(row):
+    first_three_columns_text = ' '.join([f"{col}: {row[col]}" for col in row.index[:3]])
     return f'''
     <!DOCTYPE html>
     <html>
     <body>
         <h1>🔊 Read It Aloud</h1>
         <textarea id="textArea" rows="10" cols="80">
+    {first_three_columns_text}
         </textarea>
         <br>
         <button onclick="readAloud()">🔊 Read Aloud</button>
     st.session_state['last_clicked_row'] = None
+# Streamlit app
 with st.expander("Search by Common Terms 📚"):
     cols = st.columns(4)
     for term in top_20_terms:
                 filtered_data = filter_by_keyword(data, term)
                 st.write(f"Filter on '{term}' 📊")
+                # Display clickable rows in the dataframe
+                for idx, row in filtered_data.iterrows():
+                    link = f"[Row {idx}]('javascript:void(0);')"
+                    st.markdown(link, unsafe_allow_html=True)
+                # Capture the clicked row index
+                row_index = st.experimental_get_query_params().get("row_index")
+                if row_index:
+                    selected_row = filtered_data.loc[int(row_index[0])]
+                    html_content = generate_html_with_textarea(selected_row)
+                    components.html(html_content, width=1280, height=1024)
+# Always show the first row
+if not filtered_data.empty:
+    first_row_html = generate_html_with_textarea(filtered_data.iloc[0])
+    components.html(first_row_html, width=1280, height=1024)
 # Inject HTML5 and JavaScript for styling
 st.markdown("""