Update space

app.py

@@ -20,7 +20,7 @@ def respond(message, history, max_tokens=512, temperature=0.7, top_p=0.95):
         response = ""
         for chunk in client.chat_completion(
             messages,
-            max_tokens=max_tokens,  # Changed back to max_tokens
+            max_tokens=max_tokens,
             temperature=temperature,
             top_p=top_p,
             stream=True,
@@ -33,7 +33,7 @@ def respond(message, history, max_tokens=512, temperature=0.7, top_p=0.95):
         
     except Exception as e:
         return f"Error: {str(e)}"
-    
+
 def extract_schedule(url):
     try:
         # Fetch and parse webpage
@@ -48,35 +48,78 @@ def extract_schedule(url):
             
         schedule_data = []
         rows = table.find_all('tr')
-        
-        for row in rows[1:]:  # Skip header row
+        for row in rows[1:]:
             cells = row.find_all('td')
-            if len(cells) >= 4:  # Only process rows with enough columns
+            if len(cells) >= 4:
                 date = cells[0].text.strip()
                 topic = cells[1].text.strip()
                 
-                # Skip empty rows and non-lecture entries
                 if date and topic and not topic.startswith('See Canvas'):
                     schedule_data.append({
-                        'Date': date[:10],  # Only YYYY-MM-DD
-                        'Topic': topic
+                        'Date': date[:10],
+                        'Topic': topic,
+                        'Action': f"""
+                        <button 
+                            onclick="triggerChatbotPreparation('{topic.replace("'", "")}')" 
+                            class="prepare-btn">
+                            Prepare
+                        </button>
+                        """
                     })
-        
-        # Create DataFrame
+
         df = pd.DataFrame(schedule_data)
         
-        # Convert to HTML with styling
+        # Convert to HTML with styling and JavaScript
         html = f"""
         <style>
-        table {{ border-collapse: collapse; width: 100%; }}
+        table {{ 
+            border-collapse: collapse; 
+            width: 100%;
+            font-size: 12px;
+        }}
         th, td {{ 
             border: 1px solid black;
-            padding: 8px;
+            padding: 6px;
             text-align: left;
+            font-family: Arial, sans-serif;
+        }}
+        .prepare-btn {{
+            padding: 4px 8px;
+            font-size: 11px;
+            cursor: pointer;
         }}
-        th {{ background-color: #f2f2f2; }}
         </style>
-        {df.to_html(index=False)}
+        <script>
+        function triggerChatbotPreparation(topic) {{
+            // Find all Gradio textareas
+            const textareas = document.querySelectorAll('.gradio-container textarea');
+            
+            // Find the first textarea (assuming it's the input)
+            const textbox = textareas[0];
+            
+            if (textbox) {{
+                // Set the value
+                const preparationMessage = `prepare 5 minutes reading important parts related to ${topic}`;
+                textbox.value = preparationMessage;
+                
+                // Trigger input and change events
+                const inputEvent = new Event('input', {{ bubbles: true }});
+                const changeEvent = new Event('change', {{ bubbles: true }});
+                textbox.dispatchEvent(inputEvent);
+                textbox.dispatchEvent(changeEvent);
+                
+                // Find and click the send button
+                const sendButtons = document.querySelectorAll('.gradio-container button');
+                for (let button of sendButtons) {{
+                    if (button.getAttribute('aria-label') === 'Send') {{
+                        button.click();
+                        break;
+                    }}
+                }}
+            }}
+        }}
+        </script>
+        {df.to_html(index=False, escape=False)}
         """
         return html
         
@@ -110,12 +153,7 @@ with gr.Blocks() as demo:
         # Right Column - Chatbot
         with gr.Column(scale=2):
             chatbot = gr.ChatInterface(
-                respond,
-                #additional_inputs=[
-                #    gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-                #    gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-                #    gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
-                #]
+                respond
             )
 
 if __name__ == "__main__":

requirements.txt

@@ -1,7 +1,5 @@
-transformers
-huggingface_hub==0.25.2
 gradio==5.8.0
-torch
-bitsandbytes
-accelerate
-unsloth
+huggingface_hub==0.25.2
+pandas
+requests
+beautifulsoup4