Update app.py
Browse files
app.py
CHANGED
|
@@ -1,13 +1,29 @@
|
|
| 1 |
import os
|
| 2 |
from huggingface_hub import InferenceClient
|
|
|
|
| 3 |
|
|
|
|
| 4 |
client = InferenceClient(
|
| 5 |
provider="nebius",
|
| 6 |
-
api_key=os.environ["HF_TOKEN"],
|
| 7 |
)
|
| 8 |
|
| 9 |
-
#
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
import os
|
| 2 |
from huggingface_hub import InferenceClient
|
| 3 |
+
import gradio as gr
|
| 4 |
|
| 5 |
+
# Hugging Face Inference Client
|
| 6 |
client = InferenceClient(
|
| 7 |
provider="nebius",
|
| 8 |
+
api_key=os.environ["HF_TOKEN"], # HF_TOKEN Secrets এ দেওয়া থাকবে
|
| 9 |
)
|
| 10 |
|
| 11 |
+
# Function যা Prompt থেকে ছবি জেনারেট করবে
|
| 12 |
+
def generate_image(prompt):
|
| 13 |
+
image = client.text_to_image(
|
| 14 |
+
prompt,
|
| 15 |
+
model="black-forest-labs/FLUX.1-dev",
|
| 16 |
+
)
|
| 17 |
+
return image
|
| 18 |
+
|
| 19 |
+
# Gradio UI
|
| 20 |
+
demo = gr.Interface(
|
| 21 |
+
fn=generate_image,
|
| 22 |
+
inputs=gr.Textbox(label="Enter your prompt"),
|
| 23 |
+
outputs=gr.Image(type="pil", label="Generated Image"),
|
| 24 |
+
title="FLUX.1 Text-to-Image Generator",
|
| 25 |
+
description="Type a prompt and generate an image using FLUX.1 model."
|
| 26 |
+
)
|
| 27 |
+
|
| 28 |
+
# Launch the app
|
| 29 |
+
demo.launch()
|