Update app.py

app.py

@@ -22,6 +22,56 @@ def home():
     return "Flask Video Generator is Running"
 
 @app.route("/generate", methods=["POST"])
+def video_func(id):
+    tts = gTTS(text=lines[id], lang='ta', slow=False)
+    filename = "audio"+str(id)+".mp3"
+    tts.save(filename)
+    if os.path.exists(filename):
+        audio = MP3(filename)
+        duration = audio.info.length
+    IMAGE_PATH = "images/slide"+str(id)+".png"     # Ensure this path is correct
+    VIDEO_DURATION = duration               # seconds
+    HIGHLIGHT_COLOR = (255, 255, 0)   # Yellow highlight
+    HIGHLIGHT_OPACITY = 0.5           # Semi-transparent
+        
+          # --- OCR STEP ---
+    img = Image.open(IMAGE_PATH)
+    data = pytesseract.image_to_data(img, output_type=pytesseract.Output.DICT)
+        
+          # Extract words and their positions
+    words = []
+    for i in range(len(data['text'])):
+        word = data['text'][i].strip()
+        if word and int(data['conf'][i]) > 60:
+             x, y, w, h = data['left'][i], data['top'][i], data['width'][i], data['height'][i]
+             words.append({'text': word, 'box': (x, y, w, h)})
+        
+          # --- BASE IMAGE CLIP ---
+    image_clip = ImageClip(IMAGE_PATH).set_duration(VIDEO_DURATION)
+        
+          # --- HIGHLIGHT WORDS ONE BY ONE ---
+    n_words = len(words)
+    highlight_duration = VIDEO_DURATION / n_words
+        
+    highlight_clips = []
+        
+    for i, word in enumerate(words):
+        x, y, w, h = word['box']
+        start = i * highlight_duration
+        end = start + highlight_duration
+        
+              # Create highlight rectangle
+        rect = ColorClip(size=(w, h), color=HIGHLIGHT_COLOR)
+        rect = rect.set_opacity(HIGHLIGHT_OPACITY).set_position((x, y)).set_start(start).set_end(end)
+        
+        highlight_clips.append(rect)
+        
+          # --- FINAL VIDEO --
+        
+    final_clip = CompositeVideoClip([image_clip] + highlight_clips)
+    audio = AudioFileClip(filename)
+    final_clip = final_clip.set_audio(audio)
+    final_clip.write_videofile("clip"+str(id)+".mp4", fps=24)
 def generate_video():
     try:
         data = request.get_json()
@@ -91,56 +141,6 @@ def generate_video():
         image_olst=[]
         for id in range(len(lines)):
           create_text_image(lines[id],id,image_olst)
-        def video_func(id):
-          tts = gTTS(text=lines[id], lang='ta', slow=False)
-          filename = "audio"+str(id)+".mp3"
-          tts.save(filename)
-          if os.path.exists(filename):
-              audio = MP3(filename)
-              duration = audio.info.length
-          IMAGE_PATH = "images/slide"+str(id)+".png"     # Ensure this path is correct
-          VIDEO_DURATION = duration               # seconds
-          HIGHLIGHT_COLOR = (255, 255, 0)   # Yellow highlight
-          HIGHLIGHT_OPACITY = 0.5           # Semi-transparent
-        
-          # --- OCR STEP ---
-          img = Image.open(IMAGE_PATH)
-          data = pytesseract.image_to_data(img, output_type=pytesseract.Output.DICT)
-        
-          # Extract words and their positions
-          words = []
-          for i in range(len(data['text'])):
-              word = data['text'][i].strip()
-              if word and int(data['conf'][i]) > 60:
-                  x, y, w, h = data['left'][i], data['top'][i], data['width'][i], data['height'][i]
-                  words.append({'text': word, 'box': (x, y, w, h)})
-        
-          # --- BASE IMAGE CLIP ---
-          image_clip = ImageClip(IMAGE_PATH).set_duration(VIDEO_DURATION)
-        
-          # --- HIGHLIGHT WORDS ONE BY ONE ---
-          n_words = len(words)
-          highlight_duration = VIDEO_DURATION / n_words
-        
-          highlight_clips = []
-        
-          for i, word in enumerate(words):
-              x, y, w, h = word['box']
-              start = i * highlight_duration
-              end = start + highlight_duration
-        
-              # Create highlight rectangle
-              rect = ColorClip(size=(w, h), color=HIGHLIGHT_COLOR)
-              rect = rect.set_opacity(HIGHLIGHT_OPACITY).set_position((x, y)).set_start(start).set_end(end)
-        
-              highlight_clips.append(rect)
-        
-          # --- FINAL VIDEO --
-        
-          final_clip = CompositeVideoClip([image_clip] + highlight_clips)
-          audio = AudioFileClip(filename)
-          final_clip = final_clip.set_audio(audio)
-          final_clip.write_videofile("clip"+str(id)+".mp4", fps=24)
         id=list(range(len(lines)))
         with Pool(processes=cpu_count()) as pool:
           pool.map(video_func,id)