first commit

app.py

@@ -16,35 +16,23 @@ pipe = pipeline(
     use_auth_token=hf_token
 )
 @spaces.GPU
+
 def generate_response(user_text, user_image, history):
-    """
-    This function takes the user's text and an optional image,
-    creates a message list (including a system message), and then
-    uses the Gemma 3 pipeline to generate a response.
-    """
-    # Start with a system prompt.
     messages = [
         {
             "role": "system",
             "content": [{"type": "text", "text": "You are a helpful assistant."}]
         }
     ]
-    # Build user content from the provided image and/or text.
     user_content = []
     if user_image is not None:
-        # The image input is a PIL image.
         user_content.append({"type": "image", "image": user_image})
     if user_text:
         user_content.append({"type": "text", "text": user_text})
     messages.append({"role": "user", "content": user_content})
     
-    # Generate output using the model pipeline.
     output = pipe(text=messages, max_new_tokens=200)
-    # Extract the generated text.
-    # (This extraction follows the code snippet provided in the model card.)
     response = output[0][0]["generated_text"][-1]["content"]
-    
-    # Append the new exchange to the conversation history.
     history.append((user_text, response))
     return history, history
 
@@ -54,12 +42,12 @@ with gr.Blocks() as demo:
         "This interface lets you chat with the Gemma 3 model. "
         "You can type a message and optionally attach an image."
     )
-    chatbot = gr.Chatbot()
+    chatbot = gr.Chatbot(type="messages")
     with gr.Row():
         txt = gr.Textbox(show_label=False, placeholder="Type your message here...", container=False)
-        img = gr.Image(source="upload", tool="editor", type="pil", label="Attach an image (optional)")
+        # Removed the 'source' parameter to avoid the error.
+        img = gr.Image(tool="editor", type="pil", label="Attach an image (optional)")
     state = gr.State([])
 
-    # When the user submits text (and possibly an image), call generate_response.
     txt.submit(generate_response, inputs=[txt, img, state], outputs=[chatbot, state])
-    demo.launch()
+    demo.launch()

requirements.txt

@@ -1,4 +1,4 @@
-git+https://github.com/huggingface/[email protected]-release
+git+https://github.com/huggingface/[email protected]
 gradio
 torch
 Pillow