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Update app.py
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app.py
CHANGED
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@@ -74,39 +74,6 @@ def process_file(file_obj):
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text = f.read()
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return text, name, get_empty_df()
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# ------------------------------
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# BUILD HTML TRANSCRIPT
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# ------------------------------
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def build_html_transcript(text, coded_df):
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display_text = text
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if coded_df is not None and not coded_df.empty:
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for _, row in coded_df.iterrows():
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seg = row["Coded Segment"]
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color = COLOR_MAP.get(row["Code"], "yellow")
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display_text = display_text.replace(seg, f"<span style='background-color:{color}'>{seg}</span>", 1)
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safe_text = display_text.replace("\n", "<br>")
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html = f"""
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<div style='white-space: pre-wrap; font-size:16px; line-height:1.5; max-height:600px; overflow:auto; border:1px solid #ccc; padding:5px;' id='transcript'>
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{safe_text}
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</div>
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<script>
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const transcript = document.getElementById('transcript');
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transcript.addEventListener('mouseup', function() {{
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const selection = window.getSelection().toString();
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if(selection.length>0){{
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const tb = document.querySelector('textarea[placeholder="Selected segment"]');
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if(tb) {{
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tb.value = selection;
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tb.dispatchEvent(new Event("input", {{bubbles:true}}));
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}}
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}}
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}});
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</script>
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"""
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return html
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# ------------------------------
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# APPLY CODE
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# ------------------------------
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@@ -152,6 +119,16 @@ def export_excel(df):
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df.to_excel(path, index=False)
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return path, "Excel ready."
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# ------------------------------
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# GRADIO UI
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# ------------------------------
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@@ -174,7 +151,11 @@ with gr.Blocks(title="Interactive Qualitative Coding") as demo:
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with gr.Row():
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# LEFT: transcript
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with gr.Column(scale=3):
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# RIGHT: coding panel
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with gr.Column(scale=2):
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@@ -196,11 +177,18 @@ with gr.Blocks(title="Interactive Qualitative Coding") as demo:
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# ---------------- CALLBACKS ----------------
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file_input.change(fn=process_file, inputs=file_input, outputs=[full_text, file_id, coded_df_state])
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def update_transcript(text, df):
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return
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coded_df_state.change(update_transcript, inputs=[full_text, coded_df_state], outputs=transcript_html)
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# Fill code input when selecting dropdown
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code_dropdown.change(lambda x: x, inputs=code_dropdown, outputs=code_input)
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text = f.read()
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return text, name, get_empty_df()
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# ------------------------------
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# APPLY CODE
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# ------------------------------
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df.to_excel(path, index=False)
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return path, "Excel ready."
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# ------------------------------
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# UPDATE HIGHLIGHTED TEXT
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# ------------------------------
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def get_highlighted_text(text, coded_df):
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highlights = []
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if coded_df is not None and not coded_df.empty:
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for _, row in coded_df.iterrows():
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highlights.append({"text": row["Coded Segment"], "label": row["Code"]})
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return {"text": text, "entities": highlights}
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# ------------------------------
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# GRADIO UI
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# ------------------------------
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with gr.Row():
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# LEFT: transcript
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with gr.Column(scale=3):
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transcript_display = gr.HighlightedText(
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value={"text": "", "entities": []},
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label="Transcript",
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interactive=True,
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)
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# RIGHT: coding panel
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with gr.Column(scale=2):
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# ---------------- CALLBACKS ----------------
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file_input.change(fn=process_file, inputs=file_input, outputs=[full_text, file_id, coded_df_state])
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# Update transcript display when text or coded_df changes
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def update_transcript(text, df):
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return get_highlighted_text(text, df)
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full_text.change(update_transcript, inputs=[full_text, coded_df_state], outputs=transcript_display)
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coded_df_state.change(update_transcript, inputs=[full_text, coded_df_state], outputs=transcript_display)
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# Selecting text in transcript auto-fills segment box
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def fill_segment(selected):
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return selected["text"] if selected else ""
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transcript_display.select(fill_segment, inputs=transcript_display, outputs=segment_box)
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# Fill code input when selecting dropdown
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code_dropdown.change(lambda x: x, inputs=code_dropdown, outputs=code_input)
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