Update space
Browse files
app.py
CHANGED
@@ -8,7 +8,7 @@ client = InferenceClient("meta-llama/Llama-3.2-3B-Instruct")
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data = [] # Global variable to store table data
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def respond(message, history, system_message, max_tokens, temperature, top_p):
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messages = [{"role": "system", "content": system_message}]
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for val in history:
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if val[0]:
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@@ -28,7 +28,6 @@ def respond(message, history, system_message, max_tokens, temperature, top_p):
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response += token
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yield response
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def extract_table(url):
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global data
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try:
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@@ -47,14 +46,14 @@ def extract_table(url):
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if len(cells) >= 2:
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data.append({"Index": i, "Date": cells[0].text.strip()[:10], "Topic": cells[1].text.strip()})
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# Generate HTML table with
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html_rows = ""
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for row in data:
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html_rows += f"""
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<tr>
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<td>{row['Date']}</td>
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<td>{row['Topic']}</td>
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<td><button onclick="
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</tr>
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"""
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html_table = f"""
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@@ -67,9 +66,13 @@ def extract_table(url):
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{html_rows}
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</table>
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<script>
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function
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document.
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}}
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</script>
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"""
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@@ -77,14 +80,18 @@ def extract_table(url):
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except Exception as e:
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return f"<p>Error: {str(e)}</p>"
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def handle_prepare(index):
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try:
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index = int(index)
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except Exception as e:
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# Gradio app
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with gr.Blocks() as demo:
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@@ -93,19 +100,64 @@ with gr.Blocks() as demo:
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url_input = gr.Textbox(value="https://id2223kth.github.io/schedule/", label="Table URL")
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table_output = gr.HTML(label="Extracted Table")
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extract_btn = gr.Button("Extract Table")
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with gr.Column(scale=2):
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chatbot = gr.
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)
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if __name__ == "__main__":
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demo.launch()
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data = [] # Global variable to store table data
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def respond(message, history, system_message, max_tokens=2048, temperature=0.7, top_p=0.9):
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messages = [{"role": "system", "content": system_message}]
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for val in history:
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if val[0]:
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response += token
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yield response
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def extract_table(url):
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global data
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try:
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if len(cells) >= 2:
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data.append({"Index": i, "Date": cells[0].text.strip()[:10], "Topic": cells[1].text.strip()})
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# Generate HTML table with buttons that trigger Gradio events
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html_rows = ""
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for row in data:
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html_rows += f"""
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<tr>
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<td>{row['Date']}</td>
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<td>{row['Topic']}</td>
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<td><button class="gr-button gr-button-lg" onclick="handle_topic_click({row['Index']})">Prepare</button></td>
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</tr>
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"""
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html_table = f"""
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{html_rows}
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</table>
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<script>
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function handle_topic_click(index) {{
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const prepareInput = document.querySelector('#prepareInput textarea');
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if (prepareInput) {{
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prepareInput.value = index;
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prepareInput.dispatchEvent(new Event('input'));
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document.querySelector('#prepareSubmit').click();
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}}
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}}
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</script>
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"""
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except Exception as e:
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return f"<p>Error: {str(e)}</p>"
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def handle_prepare(index, history):
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try:
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index = int(index)
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if 0 <= index < len(data):
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topic = data[index]["Topic"]
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prompt = f"Prepare a 10-minute reading on what I should know before the class for the topic: {topic}"
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history = history or []
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history.append((prompt, None))
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return history
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except Exception as e:
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print(f"Error in handle_prepare: {e}")
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return history or []
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# Gradio app
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with gr.Blocks() as demo:
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url_input = gr.Textbox(value="https://id2223kth.github.io/schedule/", label="Table URL")
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table_output = gr.HTML(label="Extracted Table")
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extract_btn = gr.Button("Extract Table")
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# Hidden components for prepare functionality
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prepare_input = gr.Textbox(visible=False, elem_id="prepareInput")
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prepare_submit = gr.Button("Prepare Submit", visible=False, elem_id="prepareSubmit")
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with gr.Column(scale=2):
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chatbot = gr.Chatbot()
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msg = gr.Textbox(label="Message")
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system_message = gr.Textbox(
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value="Student class preparation companion.",
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label="System message"
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)
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with gr.Row():
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submit = gr.Button("Submit")
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clear = gr.Button("Clear")
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# Event handlers
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extract_btn.click(
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fn=extract_table,
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inputs=[url_input],
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outputs=[table_output]
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)
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def user_message(message, history):
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history = history or []
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history.append((message, None))
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return "", history
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submit.click(
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user_message,
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inputs=[msg, chatbot],
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outputs=[msg, chatbot]
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).then(
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respond,
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inputs=[msg, chatbot, system_message],
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outputs=[chatbot]
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)
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# Handle prepare button clicks
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prepare_submit.click(
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handle_prepare,
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inputs=[prepare_input, chatbot],
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outputs=[chatbot]
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).then(
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respond,
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inputs=[
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lambda x: f"Prepare a 10-minute reading for topic: {data[int(x)]['Topic'] if x.isdigit() and 0 <= int(x) < len(data) else ''}",
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chatbot,
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system_message
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],
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outputs=[chatbot]
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)
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def clear_chat():
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return [], []
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clear.click(fn=clear_chat, outputs=[chatbot, msg])
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if __name__ == "__main__":
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demo.launch()
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