Fix: Corrected app.py and fixed login bugs and add summarizer page.

.gitignore

@@ -0,0 +1,10 @@
+# Virtual Environment
+venv/
+__pycache__/
+
+# Model files
+*.pkl
+distilbart-cnn-dailymail-finetuned/
+
+# OS files
+.DS_Store

app.py

@@ -22,7 +22,7 @@ def process_and_summarize_list(items): return "(Error: The summarization script
 app.secret_key = SECRET_KEY
 
 # --- API & Model Setup ---
-API_KEY = os.environ.get('YOUTUBE_API_KEY', 'AIzaSyC4ZwDopo_________Q4ZcB5Gw')
+API_KEY = os.environ.get('YOUTUBE_API_KEY', 'AIzaSyBnjFy3_______PHAMEyhD4')
 youtube = build("youtube", "v3", developerKey=API_KEY)
 # **FIX**: Load the correct advanced model file
 model = joblib.load("predictive_view_modelGBR.pkl")
@@ -214,6 +214,52 @@ def analyzer():
     return render_template("index.html", result=result, topic_summary=topic_summary,
                            categories=list(CATEGORY_MAP.keys()), form_data=form_data)
 
+@app.route('/summarizer', methods=['GET', 'POST'])
+def summarizer():
+    if 'user' not in session:
+        return redirect(url_for('login'))
+
+    error = None
+    summary_result = None
+    video_link = ''  # To keep the form populated
+
+    if request.method == 'POST':
+        video_link = request.form.get('video_link')
+        if not video_link:
+            error = "Please enter a video link."
+        else:
+            video_id = get_video_id_from_url(video_link)
+
+            if not video_id:
+                error = "Invalid YouTube video link. Please check the URL."
+            else:
+                try:
+                    # 1. Fetch video details using your existing helper
+                    details = get_video_details([video_id])
+                    if not details:
+                        error = "Could not fetch video details. Check the link and API key."
+                    else:
+                        snippet = details[0]['snippet']
+                        title = snippet.get('title', 'N/A')
+                        channel = snippet.get('channelTitle', 'N/A')
+                        description = snippet.get('description', '')
+
+                        # 2. Summarize using your existing helper
+                        summary = safe_summarize(description)
+
+                        # 3. Package the results for the template
+                        summary_result = {
+                            'title': title,
+                            'channelTitle': channel,
+                            'summary': summary,
+                            'videoId': video_id
+                        }
+                except Exception as e:
+                    print(f"Error in /summarizer route: {e}")
+                    error = f"An unexpected error occurred."
+
+    return render_template('summarizer.html', summary_result=summary_result, error=error, video_link=video_link)
+
 
 @app.route('/manual', methods=['GET', 'POST'])
 def manual():

requirements.txt

@@ -0,0 +1,12 @@
+flask
+pandas
+numpy
+python-dateutil
+google-api-python-client
+joblib
+transformers
+# Install torch separately with the appropriate CUDA support for your GPU.
+# Example (Windows, CUDA 11.8):
+# pip install --index-url https://download.pytorch.org/whl/cu118 torch torchvision torchaudio
+# Or CPU-only fallback:
+# pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu

summarize_text.py

@@ -4,9 +4,21 @@
 # Load the summarizer once. It's recommended to handle model loading gracefully.
 # This assumes the model is available at the specified local path.
 local_model_path = "./distilbart-cnn-dailymail-finetuned"
+# Detect available device: prefer GPU when torch.cuda is available, otherwise fall back to CPU.
 try:
-    # Using device=-1 ensures it runs on CPU, which is more compatible for general use.
-    summarizer = pipeline("summarization", model=local_model_path, device=-1)
+    import torch
+    if torch.cuda.is_available():
+        device = 0  # first CUDA device for transformers pipeline
+        print("GPU detected (torch.cuda.is_available=True). Using GPU for summarization.")
+    else:
+        device = -1
+        print("No GPU detected. Using CPU for summarization (device=-1).")
+except Exception:
+    device = -1
+    print("Could not import torch — defaulting to CPU (device=-1). To enable GPU, install torch with CUDA support.")
+
+try:
+    summarizer = pipeline("summarization", model=local_model_path, device=device)
 except Exception as e:
     summarizer = None
     print(f"CRITICAL: Could not load the summarization model from '{local_model_path}'. Error: {e}")
@@ -22,14 +34,14 @@ def clean_text(text):
 
     # --- Specific Platform Link Removal ---
     platform_domains = [
-        'youtube\.com', 'youtu\.be', 'music\.youtube\.com',
-        'facebook\.com', 'fb\.watch', 'fb\.com',
-        'instagram\.com',
-        'twitter\.com', 't\.co',
-        'spotify\.com', 'open\.spotify\.com',
-        'music\.apple\.com',
-        'music\.amazon\.com',
-        'discord\.gg', 'discord\.com'
+        r'youtube\.com', r'youtu\.be', r'music\.youtube\.com',
+        r'facebook\.com', r'fb\.watch', r'fb\.com',
+        r'instagram\.com',
+        r'twitter\.com', r't\.co',
+        r'spotify\.com', r'open\.spotify\.com',
+        r'music\.apple\.com',
+        r'music\.amazon\.com',
+        r'discord\.gg', r'discord\.com'
     ]
     platform_link_pattern = r'https?://(www\.)?(' + '|'.join(platform_domains) + r')\S*'
     text = re.sub(platform_link_pattern, '', text, flags=re.IGNORECASE)