refactor: update benchmark comparison details in app.py for clarity and consistency, enhancing the description of FLUX-juiced and its performance evaluation

app.py

@@ -54,7 +54,7 @@ with gr.Blocks("ParityError/Interstellar", fill_width=True, css=custom_css) as d
                         """
                         # 📊 InferBench
 
-                        We ran a comprehensive benchmark comparing FLUX-juiced with the “FLUX.1 [dev]” endpoints offered by:
+                        We ran a comprehensive benchmark comparing our very own FLUX-juiced with the “FLUX.1 [dev]” endpoints offered by:
 
                         - Replicate: https://replicate.com/black-forest-labs/flux-dev
                         - Fal: https://fal.ai/models/fal-ai/flux/dev
@@ -63,14 +63,14 @@ with gr.Blocks("ParityError/Interstellar", fill_width=True, css=custom_css) as d
 
                         All of these inference providers offer FLUX.1 [dev] implementations but they don’t always communicate about the optimisation methods used in the background, and most endpoint have different response times and performance measure.
 
-                        For comparison purposes we used the same generation configuration and hardware among the different providers.
+                        For comparison purposes we used the same generation set-up for all the providers.
 
                         - 28 inference steps
                         - 1024×1024 resolution
                         - Guidance scale of 3.5
                         - H100 GPU (80GB)—only reported by Replicate
 
-                        Although we did test with this configuration and hardware, the applied compression methods work with different config and hardware too!
+                        Although we did test with this specific Pruna configuration and hardware, the applied compression methods work with different config and hardware too!
 
                         > We published a full blog post on the [InferBench and FLUX-juiced](https://www.pruna.ai/blog/flux-juiced-the-fastest-image-generation-endpoint).
                         """