Create app.py

app.py

@@ -0,0 +1,40 @@
+from fastapi import FastAPI
+import base64
+from gradio_client import Client, handle_file
+
+app=FastAPI()
+
+
+
+def Runn():
+    client = Client("bytedance-research/UNO-FLUX")
+    result = client.predict(
+        prompt="an orange cat in the field",
+        width=512,
+        height=512,
+        guidance=4,
+        num_steps=25,
+        seed=-1,
+        image_prompt1=handle_file('https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png'),
+        image_prompt2=handle_file('https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png'),
+        image_prompt3=handle_file('https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png'),
+        image_prompt4=handle_file('https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png'),
+        api_name="/gradio_generate"
+    )
+    
+    preview_path, final_image_path = result
+    
+    # Read and encode as base64
+    with open(final_image_path, 'rb') as f:
+        image_data = base64.b64encode(f.read()).decode('utf-8')
+    
+    return {
+        "image": f"data:image/png;base64,{image_data}",
+        "preview": preview_path  # or convert this too
+    }
+
+
+@app.get("/ss")
+def SS():
+    boom=Runn()
+    return boom