Update app.py

app.py

@@ -6,7 +6,6 @@ from time import sleep
 from subprocess import Popen
 import faiss
 from random import shuffle
-import requests
 import json, datetime, requests
 from gtts import gTTS
 now_dir = os.getcwd()
@@ -1482,33 +1481,6 @@ def zip_downloader(model):
     else:
         return f'./weights/{model}.pth', "Could not find Index file."
 
-def search_model(name):
-    web_service_url = "https://script.google.com/macros/s/AKfycbyRaNxtcuN8CxUrcA_nHW6Sq9G2QJor8Z2-BJUGnQ2F_CB8klF4kQL--U2r2MhLFZ5J/exec"
-    response = requests.post(web_service_url, json={
-        'type': 'search_by_filename',
-        'name': name
-    })
-    result = []
-    response.raise_for_status()  # Raises an exception in case of an error
-    json_response = response.json()
-    cont = 0
-    result.append("""| Model Name | URL | Epoch | Sample Rate |
-                  | ----------- | --- |:-----:|:------------:|
-                  """)
-    yield "<br />".join(result)
-    if json_response.get('ok', None):
-        for model in json_response['ocurrences']:
-            if cont < 20:
-                model_name = str(model.get('name', 'N/A')).strip()
-                model_url = model.get('url', 'N/A')
-                epoch = model.get('epoch', 'N/A')
-                sr = model.get('sr', 'N/A')
-                line = f"""|{model_name}|<a>{model_url}</a>|{epoch}|{sr}|
-                """
-                result.append(line)
-                yield "".join(result)
-            cont += 1  
-
 fakeapplio = gr.themes.Base(
     primary_hue="violet",
     secondary_hue="violet",
@@ -2154,19 +2126,7 @@ with gr.Blocks(theme=fakeapplio) as app:
                 "Wondering how to train a voice? Join AI HUB Discord Server! https://discord.gg/aihub\n"
                 "-------------------------------\n"
             )
-
-        with gr.Tab("Search Models"):
-    gr.HTML("<h4>Search Models</h4>")
-    search_name = gr.Textbox(placeholder="Billie Eillish (RVC v2 - 100 epoch)", label="Name", show_label=True)
-
-    # Output
-    with gr.Row():
-        search_output = gr.Markdown(label="Output")
-
-    btn_search_model = gr.Button(value="Search")
-
-    with gr.Row():
-        btn_search_model.click(fn=search_model, inputs=[search_name], outputs=[search_output])
+            
                     
     app.queue(concurrency_count=511, max_size=1022).launch(share=False, quiet=False)
 #endregion