Update app.py

app.py

@@ -21,7 +21,7 @@ model = AutoModelForCausalLM.from_pretrained("ManishThota/SparrowVQE",
                                              trust_remote_code=True)
 tokenizer = AutoTokenizer.from_pretrained("ManishThota/SparrowVQE", trust_remote_code=True)
 
-def predict_answer(image, question, max_tokens):
+def predict_answer(image, question, max_tokens=100):
     #Set inputs
     text = f"A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: <image>\n{question}? ASSISTANT:"
     image = image.convert("RGB")
@@ -57,7 +57,7 @@ iface = gr.Interface(
     fn=gradio_predict,
     inputs=[gr.Image(type="pil", label="Upload or Drag an Image"), 
             gr.Textbox(label="Question", placeholder="e.g. Can you explain the slide?", scale=4),
-            gr.Slider(2, 500, value=100, label="Token Count", info="Choose between 2 and 500")],
+            gr.Slider(2, 500, value=25, label="Token Count", info="Choose between 2 and 500")],
     outputs=gr.TextArea(label="Answer"),
     examples=examples,
     title="Sparrow - Tiny 3B | Visual Question Answering",