Update app.py

app.py

@@ -6,6 +6,7 @@ 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()
@@ -2126,6 +2127,45 @@ with gr.Blocks(theme=fakeapplio) as app:
                 "Wondering how to train a voice? Join AI HUB Discord Server! https://discord.gg/aihub\n"
                 "-------------------------------\n"
             )
+
+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
+
+with gr.Tab("Search Models"):  # Changed the tab name to "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")
+    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