Update app.py

app.py

@@ -63,46 +63,16 @@ index.add(sentence_embeddings)
 
 
 #---------------------------------------------
+# Pause message from Dr. Joe's team
+pause_message = "This app has been paused upon a request from Dr. Joe's team because they are working on implementing semantic search for testimonials. We appreciate your understanding and patience."
 
-def get_video_links(input_text):
-    # Encode input text using SentenceTransformer
-    input_embedding = model.encode([input_text])[0]
+# Create a function that returns the pause message
+def pause_message_fn(Type_your_search):
+    return pause_message
 
-    # Perform nearest neighbor search in FAISS index
-    k = 15  # Number of nearest neighbors to retrieve
-    _, T = index.search(np.array([input_embedding]), k)  # search
-
-    # Return the list of video links with thumbnails and titles as an HTML string
-    video_links = []
-    visited_ids = set()
-    for i in T[0]:
-        video_id = ids[i]
-        if video_id in visited_ids:
-            continue  # Skip if the video_id has already been visited
-        visited_ids.add(video_id)
-
-        # Retrieve video details using YouTube Data API
-        video_info_url = f"https://www.googleapis.com/youtube/v3/videos?part=snippet&id={video_id}&key={api_key}"
-        response = requests.get(video_info_url)
-        data = response.json()
-        video_title = data['items'][0]['snippet']['title']
-        video_thumbnail = data['items'][0]['snippet']['thumbnails']['default']['url']
-
-        # Generate HTML code for the video link with thumbnail and title
-        video_link = f"https://www.youtube.com/watch?v={video_id}"
-        video_html = f'<a href="{video_link}" target="_blank"><img src="{video_thumbnail}"><br>{video_title}</a><br>'
-        video_links.append(video_html)
-
-    return ''.join(video_links)
-
-# Create Gradio interface with "html" output type
-iface = gr.Interface(fn=get_video_links, inputs=[gr.inputs.Textbox(label="Add what you are looking to find in Dr. Joe's testimonials!")], outputs="html", title="Dr. Joe Dispenza testimonials Search")
-
-
-
-# Launch the Gradio interface on Hugging Face Spaces
-if __name__ == '__main__':
-    iface.launch()
+# Create Gradio interface with the pause message
+iface = gr.Interface(fn=pause_message_fn, inputs="text", outputs="text", title="Dr. Joe Dispenza Testimonials Search.\n\nThis app has been paused upon a request from Dr. Joe's team because they are working on implementing semantic search for testimonials. We appreciate your understanding and patience.")
+iface.launch()