Update app.py

app.py

@@ -51,15 +51,9 @@ def chat_with_text(user_message, max_new_tokens=250):
     return assistant_reply
 
 # Resim ve/veya metin tabanlı sohbet fonksiyonu
-def bot_streaming(message, history=None, max_new_tokens=250):
+def process_input(user_message="", image=None, max_new_tokens=250):
     global history
 
-    if history is None:  # Eğer `history` verilmemişse global `history`yi kullan
-        history = []
-
-    user_message = message.get("text", "")
-    image = message.get("image", None)
-
     if image:  # Resim varsa
         response = describe_image(image, user_message)
     else:  # Sadece metin mesajı varsa
@@ -68,27 +62,33 @@ def bot_streaming(message, history=None, max_new_tokens=250):
     return response
 
 # Gradio arayüzü
-demo = gr.ChatInterface(
-    fn=bot_streaming,
-    title="Multimodal Chat Assistant",
-    additional_inputs=[
-        gr.Slider(
-            minimum=10,
-            maximum=500,
-            value=250,
-            step=10,
-            label="Maximum number of new tokens to generate",
-        )
-    ],
-    description=(
-        "This demo combines text and image understanding using Moondream2 for visual "
-        "tasks and LLaMA for conversational AI. Upload an image, ask questions, "
-        "or just chat!"
-    ),
-    stop_btn="Stop Generation",
-    fill_height=True,
-    multimodal=True,
-)
+with gr.Blocks() as demo:
+    gr.Markdown("# Multimodal Chat Assistant")
+    gr.Markdown(
+        "This demo combines text and image understanding using Moondream2 for visual tasks and LLaMA for conversational AI."
+    )
+
+    with gr.Row():
+        with gr.Column():
+            chat_input = gr.Textbox(label="Enter your message")
+            image_input = gr.Image(label="Upload an image (optional)", type="pil")
+            token_slider = gr.Slider(
+                minimum=10,
+                maximum=500,
+                value=250,
+                step=10,
+                label="Maximum number of new tokens to generate",
+            )
+            submit_btn = gr.Button("Submit")
+
+        with gr.Column():
+            chat_output = gr.Textbox(label="Assistant Reply", lines=10)
+
+    submit_btn.click(
+        fn=process_input,
+        inputs=[chat_input, image_input, token_slider],
+        outputs=chat_output,
+    )
 
 if __name__ == "__main__":
     demo.launch(debug=True)