add image_size_coef to gr.Interface and generate_presentation function

app.py

@@ -10,7 +10,7 @@ from src.font import Font
 logs_dir = "logs"
 fonts_dir = "fonts"
 
-def create_presentation(description: str, slides_num: int, language: str, num_inference_steps: int): # width: int, height: int
+def create_presentation(description: str, slides_num: int, language: str, num_inference_steps: int, image_size_coef: float):
     # Select the appropriate prompt configuration based on the selected language
     if language == "English":
         prompt_config = en_gigachat_config
@@ -34,7 +34,8 @@ def create_presentation(description: str, slides_num: int, language: str, num_in
         slides_num=slides_num,
         font=font,
         output_dir=output_dir,
-        num_inference_steps=num_inference_steps
+        num_inference_steps=num_inference_steps,
+        image_size_coef=image_size_coef
     )
 
     filename = f'{output_dir}/presentation.pptx'
@@ -96,25 +97,14 @@ iface = gr.Interface(
             maximum=50,
             step=1,
             value=50, 
+        ),
+        gr.Slider(
+            label="scaling factor for image reduction",
+            minimum=0.25,
+            maximum=1.0,
+            step=0.05,
+            value=1.0, 
         )
-        ########
-        # gr.Slider(
-        #     label="width of the slide image",
-        #     minimum=256,
-        #     maximum=MAX_IMAGE_SIZE,
-        #     step=32,
-        #     value=1024, #Replace with defaults that work for your model
-        # )
-        
-        # gr.Slider(
-        #     label="height of the slide image",
-        #     minimum=256,
-        #     maximum=MAX_IMAGE_SIZE,
-        #     step=32,
-        #     value=1024, #Replace with defaults that work for your model
-        # )
-
-        
     ],
     outputs=gr.File(
         label="Download Presentation"