initial app commit

app.py

@@ -0,0 +1,41 @@
+import gradio as gr
+import websockets
+import asyncio
+import json
+import base64
+from PIL import Image
+import io
+
+def process_image_stream(image, question, max_tokens):
+    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"
+        ),
+        gr.Slider(
+            minimum=50,
+            maximum=200,
+            value=200,
+            step=1,
+            label="Max Tokens"
+        )
+    ],
+    outputs=gr.Textbox(label="Response", interactive=False),
+    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.
+    """,
+)
+
+if __name__ == "__main__":
+    demo.queue().launch(server_name="0.0.0.0", server_port=7860)