Update app.py

app.py

@@ -242,64 +242,7 @@ def tts(
 
 
 
-def extract_zip(extraction_folder, zip_name):
-    os.makedirs(extraction_folder)
-    with zipfile.ZipFile(zip_name, 'r') as zip_ref:
-        zip_ref.extractall(extraction_folder)
-    os.remove(zip_name)
 
-    index_filepath, model_filepath = None, None
-    for root, dirs, files in os.walk(extraction_folder):
-        for name in files:
-            if name.endswith('.index') and os.stat(os.path.join(root, name)).st_size > 1024 * 100:
-                index_filepath = os.path.join(root, name)
-
-            if name.endswith('.pth') and os.stat(os.path.join(root, name)).st_size > 1024 * 1024 * 40:
-                model_filepath = os.path.join(root, name)
-
-    if not model_filepath:
-        raise gr.Error(f'No .pth model file was found in the extracted zip. Please check {extraction_folder}.')
-
-    # move model and index file to extraction folder
-    os.rename(model_filepath, os.path.join(extraction_folder, os.path.basename(model_filepath)))
-    if index_filepath:
-        os.rename(index_filepath, os.path.join(extraction_folder, os.path.basename(index_filepath)))
-
-    # remove any unnecessary nested folders
-    for filepath in os.listdir(extraction_folder):
-        if os.path.isdir(os.path.join(extraction_folder, filepath)):
-            shutil.rmtree(os.path.join(extraction_folder, filepath))
-
-
-def download_online_model(url, dir_name, progress=gr.Progress()):
-    try:
-        progress(0, desc=f'[~] Downloading voice model with name {dir_name}...')
-        zip_name = url.split('/')[-1]
-        extraction_folder = os.path.join(rvc_models_dir, dir_name)
-        if os.path.exists(extraction_folder):
-            raise gr.Error(f'Voice model directory {dir_name} already exists! Choose a different name for your voice model.')
-
-        if 'huggingface.co' in url:
-            urllib.request.urlretrieve(url, zip_name)
-
-        if 'pixeldrain.com' in url:
-            zip_name = dir_name + '.zip'
-            url = f'https://pixeldrain.com/api/file/{zip_name}'
-            urllib.request.urlretrieve(url, zip_name)
-
-        elif 'drive.google.com' in url:
-            # Extract the Google Drive file ID
-            zip_name = dir_name + '.zip'
-            file_id = url.split('/')[-2]
-            output = os.path.join('.', f'{dir_name}.zip')  # Adjust the output path if needed
-            gdown.download(id=file_id, output=output, quiet=False)
-
-        progress(0.5, desc='[~] Extracting zip...')
-        extract_zip(extraction_folder, zip_name)
-        return f'[+] {dir_name} Model successfully downloaded!'
-
-    except Exception as e:
-        raise gr.Error(str(e))
 
   
 
@@ -315,9 +258,16 @@ This is a text-to-speech webui of RVC models.
 Input text ➡[(edge-tts)](https://github.com/rany2/edge-tts)➡ Speech mp3 file ➡[(RVC)](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)➡ Final output
 """
 
+Another_md = """"
+
+RVC TTS = [🌐 Github](https://github.com/Blane187/rvc-tts.git) 
+
+"""
+
 app = gr.Blocks(theme="Hev832/emerald", title="RVC-TTS")
 with app:
     gr.Markdown(initial_md)
+    gr.Markdown(Another_md)
     
     with gr.Row():
         with gr.Column():
@@ -398,50 +348,4 @@ with app:
             inputs=[tts_text, tts_voice],
         )
 
-    with gr.Row():
-        with gr.Tab('Download model'):
-
-            with gr.Accordion('From HuggingFace/Pixeldrain URL', open=True):
-                with gr.Row():
-                    model_zip_link = gr.Text(label='Download link to model', info='Should be a zip file containing a .pth model file and an optional .index file.')
-                    model_name = gr.Text(label='Name your model', info='Give your new model a unique name from your other voice models.')
-
-                with gr.Row():
-                    download_btn = gr.Button('Download', variant='primary', scale=19)
-                    dl_output_message = gr.Text(label='Output Message', interactive=False, scale=20)
-
-                download_btn.click(download_online_model, inputs=[model_zip_link, model_name], outputs=dl_output_message)
-
-                gr.Markdown('## Input Examples',)
-                gr.Examples(
-                    [
-                        ['https://huggingface.co/phant0m4r/LiSA/resolve/main/LiSA.zip', 'Lisa'],
-                        ['https://huggingface.co/Hev832/rvc/resolve/main/Sonic.zip?download=true', 'Sonic'],
-                        ['https://huggingface.co/jkhgf/SLWooly/resolve/main/Jax.zip', 'Jax']
-                    ],
-                    [model_zip_link, model_name],
-                    [],
-                    download_online_model,
-                )
-
-            with gr.Accordion('From Public Index', open=False):
-
-                gr.Markdown('## How to use')
-                gr.Markdown('- Click Initialize public models table')
-                gr.Markdown('- Filter models using tags or search bar')
-                gr.Markdown('- Select a row to autofill the download link and model name')
-                gr.Markdown('- Click Download')
-
-                with gr.Row():
-                    pub_zip_link = gr.Text(label='Download link to model')
-                    pub_model_name = gr.Text(label='Model name')
-
-                with gr.Row():
-                    download_pub_btn = gr.Button('Download', variant='primary', scale=19)
-                    pub_dl_output_message = gr.Text(label='Output Message', interactive=False, scale=20)
-
-
-
-
-
-app.launch()
+app.launch()