Update app.py

app.py

@@ -46,10 +46,7 @@ def search_google_images(query, num_images=1):
         cse_id = os.getenv('GOOGLE_CSE_ID')
         proxies = load_proxies()
         
-        print(f"Buscando imágenes para: {query}")
-        
         if not proxies:
-            print("No proxies available, trying without proxy")
             with requests.Session() as session:
                 result = session.get(
                     f"https://www.googleapis.com/customsearch/v1",
@@ -81,22 +78,6 @@ def search_google_images(query, num_images=1):
                         "key": api_key
                     }
                 ).json()
-        else:
-            with requests_proxy.ProxyManager(proxies) as proxy_manager:
-               result = proxy_manager.get(
-                   f"https://www.googleapis.com/customsearch/v1",
-                    params={
-                        "q": query,
-                        "cx": cse_id,
-                        "searchType": "image",
-                        "num": num_images * 3,
-                        "safe": 'off',
-                        "imgSize": 'HUGE',
-                        "imgType": 'photo',
-                        "rights": 'cc_publicdomain|cc_attribute|cc_sharealike',
-                        "key": api_key
-                    }
-                ).json()
         
         if 'items' in result:
             image_urls = []
@@ -108,18 +89,14 @@ def search_google_images(query, num_images=1):
                         image_urls.append(item['link'])
                         if len(image_urls) >= num_images:
                             break
-            
-            print(f"Encontradas {len(image_urls)} imágenes de tamaño adecuado")
             return image_urls
         
         print("No se encontraron imágenes después de probar todos los proxies")
         return []
-            
     except Exception as e:
         print(f"Error general en la búsqueda de imágenes: {str(e)}")
         return []
 
-
 def process_image(image):
     try:
         width, height = image.size
@@ -135,8 +112,7 @@ def process_image(image):
         image = image.resize((new_width, new_height), Image.Resampling.LANCZOS)
         background = Image.new('RGB', (max(new_width, MIN_WIDTH), max(new_height, MIN_HEIGHT)), 'black')
         
-        offset = ((background.width - image.width) // 2,
-                 (background.height - image.height) // 2)
+        offset = ((background.width - image.width) // 2, (background.height - image.height) // 2)
         background.paste(image, offset)
         
         return background
@@ -160,9 +136,8 @@ def download_image(url):
                 image = background
             
             processed_image = process_image(image)
-            if processed_image:
+            if processed_image: 
                 return processed_image
-            
         except Exception as e:
             print(f"Error downloading image with proxy {proxy}: {e}")
             continue
@@ -185,7 +160,6 @@ def concatenate_google_images(keywords, clip_duration=5, num_images_per_keyword=
     video_clips = []
     for keyword in keyword_list:
         try:
-            print(f"Searching images for keyword '{keyword}'...")
             image_urls = search_google_images(keyword, num_images=num_images_per_keyword)
             for url in image_urls:
                 image = download_image(url)
@@ -239,7 +213,7 @@ def combine_audio_video(audio_file, video_clip, music_clip=None):
         audio_clip.close()
         if music_clip:
             music_clip.close()
-            
+        
         return output_path
     except Exception as e:
         print(f"Error combining audio and video: {e}")
@@ -302,7 +276,6 @@ def process_input(text, txt_file, mp3_file, selected_voice, rate, pitch, keyword
         
         download_link = upload_to_google_drive(final_video_path, folder_id=FOLDER_ID)
         if download_link:
-            print(f"Video uploaded to Google Drive. Download link: {download_link}")
             return f"[Download video]({download_link})"
         else:
             raise ValueError("Error uploading video to Google Drive")
@@ -319,10 +292,7 @@ with gr.Blocks() as demo:
             text_input = gr.Textbox(label="Write your text here", lines=5)
             txt_file_input = gr.File(label="Or upload a .txt file", file_types=[".txt"])
             mp3_file_input = gr.File(label="Upload background music (.mp3)", file_types=[".mp3"])
-            keyword_input = gr.Textbox(
-                label="Enter keywords separated by commas",
-                value="fear, religion, god, demons, aliens, possession, galaxy, mysterious, dystopian, astral, warfare, space, space, galaxy, moon, fear, astral, god, evil, mystery, cosmos, stars, paranormal, inexplicable, hidden, enigma, unknown, unusual, intriguing, curious, strange, supernatural, esoteric, arcane, occultism, supernatural, mystery, phenomenon, rare, unusual, enigmatic, sinister, gloomy, dark, shadowy, macabre, eerie, chilling, cursed, fantastic, unreal, unknown, mysterious, enigmatic, inexplicable, unusual, strange, unusual, arcane, esoteric, hidden, shadowy, dark, gloomy, sinister, macabre, eerie, chilling, cursed, fantastic, unreal, paranormal, supernatural, occultism, phenomenon, rare, intriguing, curious"
-            )
+            keyword_input = gr.Textbox(label="Enter keywords separated by commas", value="fear, religion, god, demons, aliens, possession, galaxy, mysterious, dystopian, astral, warfare, space, space, galaxy, moon, fear, astral, god, evil, mystery, cosmos, stars, paranormal, inexplicable, hidden, enigma, unknown, unusual, intriguing, curious, strange, supernatural, esoteric, arcane, occultism, supernatural, mystery, phenomenon, rare, unusual, enigmatic, sinister, gloomy, dark, shadowy, macabre, eerie, chilling, cursed, fantastic, unreal, unknown, mysterious, enigmatic, inexplicable, unusual, strange, unusual, arcane, esoteric, hidden, shadowy, dark, gloomy, sinister, macabre, eerie, chilling, cursed, fantastic, unreal, paranormal, supernatural, occultism, phenomenon, rare, intriguing, curious")
             voices = asyncio.run(get_voices())
             voice_dropdown = gr.Dropdown(choices=list(voices.keys()), label="Select Voice")
             rate_slider = gr.Slider(minimum=-50, maximum=50, value=0, label="Speech Rate Adjustment (%)", step=1)