Update app.py

app.py

@@ -14,7 +14,6 @@ TRUSTED_UPLOADERS = ["KappaNeuro", "CiroN2022", "multimodalart", "Norod78", "joa
 
 def get_json_data(url):
     url_split = url.split('/')
-    print("url_split: ", url_split)
     api_url = f"https://civitai.com/api/v1/models/{url_split[4]}"
     try:
         response = requests.get(api_url)
@@ -37,12 +36,10 @@ def check_nsfw(json_data, profile):
     return True
 
 def get_prompts_from_image(image_id):
-    print("image_id: ", image_id)
     url = f'https://civitai.com/images/{image_id}'
     response = requests.get(url)
     soup = BeautifulSoup(response.text, 'html.parser')
     content = soup.find_all(class_='mantine-Code-root mantine-Code-block mantine-2v44jn')
-    print(content)
     if(content):
         if(len(content) > 1):
             return content[0].text, content[1].text
@@ -246,7 +243,6 @@ For more details, including weighting, merging and fusing LoRAs, check the [docu
     #    elif index > 1:
     #        content += f"\n![Image {index}]({image})\n> {prompt}\n"
     readme_content += content + "\n"
-    print(readme_content)
     with open(f"{folder}/README.md", "w") as file:
         file.write(readme_content)
 
@@ -368,7 +364,7 @@ def bulk_upload(profile: Optional[gr.OAuthProfile], oauth_token: gr.OAuthToken,
         if(url):
             try:
                 upload_result = upload_civit_to_hf(profile, oauth_token, url, link_civit)
-                gr.Warning(f"Model {link_civit} uploaded")
+                gr.Info(f"Model {link_civit} uploaded")
                 yield upload_result
             except Exception as e:
                 print(e)