Change examples to be at the bottom

app.py

@@ -69,9 +69,13 @@ def datapipeline(url: str,
     # Select transcriber
     if video_language == "Spanish":
         audio_transcriber = es_audio_transcriber
-        video_creator = VideoCreator(es_tts, image_pipeline)
     elif video_language == "English":
         audio_transcriber = en_audio_transcriber
+    else:
+        return "Language not supported"
+    if summary_language == "Spanish":
+        video_creator = VideoCreator(es_tts, image_pipeline)
+    elif summary_language == "English":
         video_creator = VideoCreator(en_tts, image_pipeline)
     else:
         return "Language not supported"
@@ -236,18 +240,6 @@ with block as demo:
               <p style="margin-bottom: 10px; font-size: 94%">
                 Running on <b>{device_print}</b>
               </p>
-              <p>
-                Some samples videos you can try:
-                <ul>
-                    <li>https://www.youtube.com/watch?v=Hk5evm1NgzA (Little Red Riding Hood. Infer time: c.a. 196 seconds)</li>
-                    <li>https://www.youtube.com/watch?v=nJxWS9jZ9-c (Elon Musk's Biography. Infer time: c.a. 176 seconds)</li>
-                    <li>https://www.youtube.com/watch?v=sRmmQBBln9Q (Cook recipe. Infer time: c.a. 200 seconds)</li>
-                    <li>https://www.youtube.com/watch?v=qz4Wc48KITA (Poem by Edgar Allan Poe. Infer time: c.a. 200 seconds)</li>
-                    <li>https://www.youtube.com/watch?v=2D8CaoIY7Lk (The history of Christmas trees. Infer time: c.a. 130 seconds)</li>
-                    <li>https://www.youtube.com/watch?v=uhmRR-Ir7Bk (Dec. 20 news. Infer time: c.a. 230 seconds)</li>
-                    <li>https://www.youtube.com/watch?v=CT9T7Dp63x4 (Presentation of movie Lady Chatterley's Lover. Infer time: c.a. 277 seconds)</li>
-                </ul> 
-              </p>
             </div>
         """
     )
@@ -296,9 +288,13 @@ with block as demo:
                           video_styles],
                   outputs=[video_output, file_output])
 
-    #gr.Examples(
-    #    examples=[[], []]
-    #)
+    gr.Examples(
+        examples=[["https://www.youtube.com/watch?v=c0i5016pB2Y", "English", "Spanish", "oil on painting"],
+                  ["https://www.youtube.com/watch?v=Hk5evm1NgzA", "Spanish", "English", "dramatic lighting, cinematic, matte painting"],
+                  ["https://www.youtube.com/watch?v=sRmmQBBln9Q", "Spanish", "Spanish", "Hyper real, 4k"],
+                  ["https://www.youtube.com/watch?v=qz4Wc48KITA", "Spanish", "English", "detailed art by kay nielsen and walter crane, illustration style, watercolor"]],
+        inputs=[url, video_language, summary_language, video_styles]
+    )
     gr.HTML(
             """
                 <div class="footer">

textprocessor.py

@@ -37,7 +37,7 @@ class TextProcessor:
                         prompt: str,
                         summary_language: str) -> Dict:
         gpt_prompt = context_prompt.replace("$TRANSCRIPTION", prompt)
-        gpt_prompt = gpt_prompt.replace("$SUMMARY_LANGUAGE ", summary_language)
+        gpt_prompt = gpt_prompt.replace("$SUMMARY_LANGUAGE", summary_language)
         print("gpt_prompt", gpt_prompt)
         response = openai.Completion.create(
             model=self.model,

videocreator.py

@@ -35,7 +35,7 @@ class VideoCreator:
         return "output.wav"
     
     def _get_bg_image_from_description(self, img_desc: str, video_styles: str):
-        images = self.image_pipeline(img_desc + video_styles)
+        images = self.image_pipeline(img_desc + ", " + video_styles)
         print("Image generated!")
         image_output = images.images[0]
         image_output.save("img.png")