Update app.py

app.py

@@ -1,72 +1,35 @@
 import gradio as gr
 from gradio_client import Client, handle_file
 
-# Gradio Client ile model yükle
-client = Client("vikhyatk/moondream2")
+# Gradio Client
+client = Client("vikhyatk/moondream2")  # Replace with your Gradio app URL or identifier
 
-# Resim açıklamasını almak için kullanılacak fonksiyon
-def describe_image(image):
+
+def process_image_upload(image):
+    """
+    This function processes the uploaded image and sends it to the Gradio app.
+    """
+    # Convert the uploaded image to a format compatible with the Gradio Client
+    image_file = handle_file(image)  # Handle the uploaded image as a file
     result = client.predict(
-        img=handle_file(image),
+        img=image_file,
         prompt="Describe this image.",
         api_name="/answer_question"
     )
     return result
 
-# ChatInterface ve resim işleme fonksiyonu
-def respond(
-    message,
-    history=None,  # Varsayılan olarak history None
-    system_message="You are a friendly Chatbot.",
-    max_tokens=512,
-    temperature=0.7,
-    top_p=0.95,
-    image=None
-):
-    if history is None:
-        history = []  # History boşsa, boş bir liste başlat
-    elif isinstance(history, int):  # Eğer history bir int ise, bunu boş bir liste ile değiştir
-        history = []
 
-    # Sistem mesajını ve önceki sohbeti al
-    messages = [{"role": "system", "content": system_message}]
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("## Image Description with Gradio Client")
     
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    # Resim ile ilgili açıklamayı ekle
-    if image is not None:
-        image_description = describe_image(image)
-        messages.append({"role": "assistant", "content": image_description})
-
-    # Kullanıcı mesajını ekle
-    messages.append({"role": "user", "content": message})
-
-    # Modelden gelen yanıtı al
-    response = client.chat(
-        messages=messages,
-        max_tokens=max_tokens,
-        temperature=temperature,
-        top_p=top_p
-    )
+    with gr.Row():
+        image_input = gr.Image(type="file", label="Upload an Image")
+        output_text = gr.Textbox(label="Image Description", interactive=False)
 
-    return response['choices'][0]['message']['content']
+    submit_button = gr.Button("Get Description")
 
-# Gradio app arayüzünü oluştur
-demo = gr.Interface(
-    fn=respond,
-    inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
-        gr.Image(type="pil", label="Upload an Image")  # Resim girişi
-    ],
-    outputs="text",  # Çıktıyı metin olarak ver
-)
+    submit_button.click(fn=process_image_upload, inputs=image_input, outputs=output_text)
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()