Update app.py

app.py

@@ -1,44 +1,43 @@
 #imagetext-to-text
+#huggingface spaces
 import gradio as gr
 import base64
 from huggingface_hub import InferenceClient
 client = InferenceClient('meta-llama/Llama-3.2-11B-Vision-Instruct')
 
-
 def imageDescription(image, prompt):
- image_path="image.png"
- image.save(image_path)
- with open(image_path, "rb") as f:
-   base64_image = base64.b64encode(f.read()).decode("utf-8")
- image_url = f"data:image/png;base64,{base64_image}"
- output = client.chat.completions.create(messages=[
-       {
-           "role": "user",
-           "content": [
-               {
-                   "type": "image_url",
-                   "image_url": {"url": image_url},
-               },
-               {
-                   "type": "text",
-                   "text": prompt,
-               },
-           ],
-       },
-   ],
- )
- return output.choices[0].message.content
-
+  image_path="image.png"
+  image.save(image_path)
+  with open(image_path, "rb") as f:
+    base64_image = base64.b64encode(f.read()).decode("utf-8")
+  image_url = f"data:image/png;base64,{base64_image}"
+  output = client.chat.completions.create(messages=[
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "image_url",
+                    "image_url": {"url": image_url},
+                },
+                {
+                    "type": "text",
+                    "text": prompt,
+                },
+            ],
+        },
+    ],
+  )
+  return output.choices[0].message.content
 
 with gr.Blocks(theme=gr.themes.Citrus()) as demo:
-   with gr.Row():
-     with gr.Column():
-       #an image input
-       image=gr.Image(type="pil", label="upload an immage")
-       prompt = gr.Textbox(label="What would you like to know about this picture?",scale=1)
-       describe_btn = gr.Button("Describe the image",scale=1)
-       output = gr.Textbox(label="Description",scale=1)
-     with gr.Column():
-       #sending two inputs to imageDescription function
-       describe_btn.click(fn=imageDescription, inputs=[image, prompt], outputs=output)
-demo.launch(share=True)
+    with gr.Row():
+      with gr.Column():
+        #an image input
+        image=gr.Image(type="pil", label="upload an immage")
+        prompt = gr.Textbox(label="What would you like to know about this picture?",scale=1)
+        describe_btn = gr.Button("Describe the image",scale=1)
+        output = gr.Textbox(label="Description",scale=1)
+      with gr.Column():
+        #sending two inputs to imageDescription function
+        describe_btn.click(fn=imageDescription, inputs=[image, prompt], outputs=output)
+demo.launch(debug=True)