Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -33,7 +33,7 @@ def consume_llm_api(prompt):
|
|
33 |
"""
|
34 |
Sends a prompt to the LLM API and processes the streamed response.
|
35 |
"""
|
36 |
-
url = "https://
|
37 |
headers = {"Content-Type": "application/json"}
|
38 |
payload = {"prompt": prompt}
|
39 |
|
@@ -106,7 +106,7 @@ def model_single_out(prompt):
|
|
106 |
return image
|
107 |
|
108 |
def model_out_put(init_image,mask_image,prompt,negative_prompt):
|
109 |
-
API_URL = "https://
|
110 |
initial_image_base64 = numpy_to_list(np.array(init_image))
|
111 |
mask_image_base64 = numpy_to_list(np.array(mask_image))
|
112 |
payload = {
|
|
|
33 |
"""
|
34 |
Sends a prompt to the LLM API and processes the streamed response.
|
35 |
"""
|
36 |
+
url = "https://def5-194-26-196-170.ngrok-free.app/api/llm-response"
|
37 |
headers = {"Content-Type": "application/json"}
|
38 |
payload = {"prompt": prompt}
|
39 |
|
|
|
106 |
return image
|
107 |
|
108 |
def model_out_put(init_image,mask_image,prompt,negative_prompt):
|
109 |
+
API_URL = "https://def5-194-26-196-170.ngrok-free.app/api/llm-response"
|
110 |
initial_image_base64 = numpy_to_list(np.array(init_image))
|
111 |
mask_image_base64 = numpy_to_list(np.array(mask_image))
|
112 |
payload = {
|