Deploy DeepSeek-VL QA app

app.py

@@ -1,7 +1,23 @@
 import gradio as gr
+from deepseek_vl import DeepSeekVL
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Initialize DeepSeek-VL model (CPU for free Spaces)
+model = DeepSeekVL(model_path="deepseek-ai/deepseek-vl-7b", device="cpu")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+def qa(image, question):
+    # Run DeepSeek-VL inference: image + question -> answer
+    return model.generate(image, question)
+
+demo = gr.Interface(
+    fn=qa,
+    inputs=[
+        gr.Image(type="pil", label="Upload Image"),
+        gr.Textbox(label="Enter your question")
+    ],
+    outputs="text",
+    title="DeepSeek-VL Multimodal QA Demo",
+    description="Upload an image and enter a question. Experience DeepSeek-VL's vision-language capabilities."
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

@@ -1,4 +1,4 @@
-gradio
 deepseek-vl
+gradio
 torch
 transformers