add : refinement logic

app.py

@@ -41,10 +41,10 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidan
         seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
 
-    # refined_prompt = run_gemini(
-    #     target_prompt=prompt,
-    #     prompt_in_path="prompt.json",
-    # )
+    refined_prompt = run_gemini(
+        target_prompt=prompt,
+        prompt_in_path="prompt.json",
+    )
     
     for img in pipe.flux_pipe_call_that_returns_an_iterable_of_images(
             prompt=prompt,