Update app.py

app.py

@@ -6,12 +6,12 @@ from transformers import BlipProcessor, BlipForConditionalGeneration
 processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
 model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
 
-def caption(img):
+def caption(img, min, max):
     raw_image = Image.open(img).convert('RGB')
   
     inputs = processor(raw_image, return_tensors="pt")
     
-    out = model.generate(**inputs, min_length=40, max_length=200)
+    out = model.generate(**inputs, min_length=min, max_length=max)
     return processor.decode(out[0], skip_special_tokens=True)
 
 def greet(img):
@@ -20,7 +20,7 @@ def greet(img):
 iface = gr.Interface(fn=greet, 
                      title='Blip Image Captioning Large', 
                      description="[Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large)",
-                     inputs=gr.Image(type='filepath', label='Image'), 
+                     inputs=[gr.Image(type='filepath', label='Image'), gr.Slider(label='Minimum Length', minimum=1, maximum=1000, value=30), gr.Slider(label='Maximum Length', minimum=1, maximum=1000, value=100)], 
                      outputs=gr.Textbox(label='Caption'),
                      theme = gr.themes.Base(primary_hue="teal",secondary_hue="teal",neutral_hue="slate"),)
 iface.launch()