WIP

app.py

@@ -6,35 +6,31 @@ import base64
 from PIL import Image
 import io
 
-def process_image_stream(question, max_tokens):
+def process_image_stream(question):
     return "This is a test response"
 
 # Create Gradio interface
 demo = gr.Interface(
     fn=process_image_stream,
     inputs=[
-        # gr.Image(type="filepath", label="Upload Image"),
         gr.Textbox(
             label="Question", 
             placeholder="Ask a question about the image...",
-            value="Describe this image"
+            value="Describe this image",
+            scale=1,  # Makes the textbox responsive
+            min_width=300  # Minimum width on mobile
         ),
-        # gr.Slider(
-        #     minimum=50,
-        #     maximum=200,
-        #     value=200,
-        #     step=1,
-        #     label="Max Tokens"
-        # )
     ],
-    outputs=gr.Textbox(label="Response", interactive=False),
+    outputs=gr.Textbox(
+        label="Response", 
+        interactive=False,
+        scale=1,  # Makes the textbox responsive
+        min_width=300  # Minimum width on mobile
+    ),
     title="Nexa Omni Vision",
-    # description=f"""
-    # Model Repo: <a href="https://huggingface.co/NexaAIDev/omnivision-968M">NexaAIDev/omnivision-968M</a>
-
-    # *Model updated on Nov 21, 2024\n
-    # Upload an image and ask questions about it. The model will analyze the image and provide detailed answers to your queries.
-    # """,
+    theme="soft",  # Using a mobile-friendly theme
+    css=".gradio-container {max-width: 800px; margin: auto}",  # Responsive container
+    allow_flagging="never"  # Removes flagging button for cleaner mobile view
 )
 
 if __name__ == "__main__":