Update app.py

app.py

@@ -16,20 +16,19 @@ model_od.to("cuda:0")
 
 @spaces.GPU
 def bot_streaming(message, history, max_tokens, temperature, top_p, top_k, repetition_penalty):
+    print(max_tokens, temperature, top_p, top_k, repetition_penalty)
     if message.files:
         image = message.files[-1].path
     else:
         # if there's no image uploaded for this turn, look for images in the past turns
         # kept inside tuples, take the last one
         for hist in history:
-            print(hist)
             if type(hist[0])==tuple:
-                [('/tmp/gradio/d2358aee8efc2902714f1b4ccc3089ec858104a3e7c8fc7a6ae702e1d0bcbcb0/oguzhan.jpg',), None]
                 image = hist[0][0]
 
     if image is None:
         gr.Error("Lütfen önce bir resim yükleyin.")
-  
+
     prompt = f"{message.text}"
     image = Image.open(image).convert("RGB")
     inputs = processor(text=prompt, images=image, return_tensors="pt").to("cuda:0")
@@ -61,7 +60,7 @@ logo_path = "static/images/logo-color-v2.png"
 
 PLACEHOLDER = f"""
 <div style="display: flex; flex-direction: column; align-items: center; text-align: center; margin: 30px">
-    <img src="/file={logo_path}" style="width: 60%; height: auto;">
+    <img src="/file={logo_path}" style="width: 60%; height: auto; opacity: 80%">
     <h3>Resim yükleyin ve bir soru sorun</h3>
 </div>
 """
@@ -76,32 +75,23 @@ with gr.Accordion("Generation parameters", open=False) as parameter_accordion:
     repeat_penalty_item = gr.Slider(0, 2, value=1.2, label="Repeat penalty")
 
 demo = gr.ChatInterface(
-    title="TraVisionLM - Turkish Visual Language Model",
+    title="TraVisionLM - Çok Hızlı Türkçe Görsel Dil Modeli",
     description="",
     fn=bot_streaming,
     chatbot=gr.Chatbot(placeholder=PLACEHOLDER, scale=1),   
-    # examples=[{"text": "", "files":[""]},{"text": "", "files":[""]}], 
+    examples=[
+        {"text": "Detaylı açıkla", "files":["family.jpg"]},
+        {"text": "Görüntüde uçaklar ne yapıyor?", "files":["plane.jpg"]},
+        {"text": "Kısaca açıkla", "files":["dog.jpg"]},
+        {"text": "Tren istasyonu kalabalık mı yoksa boş mu?", "files":["train.jpg"]},
+        {"text": "Resimdeki araba hangi renk?", "files":["car.jpg"]},
+        {"text": "Görüntünün odak noktası nedir?", "files":["mandog.jpg"]}
+    ], 
     additional_inputs=[max_tokens_item, temperature_item, top_p_item, top_k_item, repeat_penalty_item],
     additional_inputs_accordion=parameter_accordion, 
     stop_btn="Stop Generation", 
     multimodal=True
 )
 
-    # with gr.Tab("Object Detection (Obje Tespiti)"):
-    #     gr.Image("tiger.jpg")
-    #     gr.Button("New Tiger")
-
-# demo = gr.ChatInterface(fn=bot_streaming, title="TraVisionLM - Turkish Visual Language Model", 
-#                         # examples=[{"text": "", "files":[""]},{"text": "", "files":[""]}], 
-#                         description="",
-#                         additional_inputs=[
-#                             gr.Slider(64, 1024, value=512, step=64, label="Max tokens"),
-#                             gr.Slider(0.1, 2, value=0.6, step=0.1, label="Temperature"),
-#                             gr.Slider(0, 1.0, value=0.9, step=0.05, label="Top_p"),
-#                             gr.Slider(0, 100, value=50, label="Top_k"),
-#                             gr.Slider(0, 2, value=1.2, label="Repeat penalty"),
-#                         ],
-#                         additional_inputs_accordion_name="Text generation parameters",
-#                         # additional_inputs_accordion=
-#                         stop_btn="Stop Generation", multimodal=True)
+
 demo.launch(max_file_size="5mb")