Update app.py

app.py

@@ -39,31 +39,36 @@ def bot_streaming(message, history):
       if type(hist[0])==tuple:
         image = hist[0][0]
 
-  if image is None:
-      gr.Error("You need to upload an image for LLaVA to work.")
-  prompt=f"<|start_header_id|>user<|end_header_id|>\n\n<image>\n{message['text']}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"
-  print(f"prompt: {prompt}")
-  image = Image.open(image)
-  inputs = processor(prompt, image, return_tensors='pt').to(0, torch.float16)
-
-  streamer = TextIteratorStreamer(processor, **{"skip_special_tokens": True})
-  generation_kwargs = dict(inputs, streamer=streamer, max_new_tokens=1024)
-  generated_text = ""
-
-  thread = Thread(target=model.generate, kwargs=generation_kwargs)
-  thread.start()
-
-  text_prompt =f"<|start_header_id|>user<|end_header_id|>\n\n{message['text']}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"
-  print(f"text_prompt: {text_prompt}")
-
-  buffer = ""
-  for new_text in streamer:
-    
-    buffer += new_text
-    
-    generated_text_without_prompt = buffer[len(text_prompt):]
-    time.sleep(0.08)
-    yield generated_text_without_prompt
+    try:
+        if image is None:
+            # Handle the case where image is None
+            gr.Error("You need to upload an image for LLaVA to work.")
+        else:
+            prompt=f"<|start_header_id|>user<|end_header_id|>\n\n<image>\n{message['text']}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"
+            print(f"prompt: {prompt}")
+            image = Image.open(image)
+            inputs = processor(prompt, image, return_tensors='pt').to(0, torch.float16)
+            
+            streamer = TextIteratorStreamer(processor, **{"skip_special_tokens": True})
+            generation_kwargs = dict(inputs, streamer=streamer, max_new_tokens=1024)
+            generated_text = ""
+            
+            thread = Thread(target=model.generate, kwargs=generation_kwargs)
+            thread.start()
+            
+            text_prompt =f"<|start_header_id|>user<|end_header_id|>\n\n{message['text']}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"
+            print(f"text_prompt: {text_prompt}")
+            
+            buffer = ""
+            for new_text in streamer:
+            
+            buffer += new_text
+            
+            generated_text_without_prompt = buffer[len(text_prompt):]
+            time.sleep(0.08)
+            yield generated_text_without_prompt
+    except NameError:
+        gr.Error("You need to upload an image for LLaVA to work.")
 
 
 demo = gr.ChatInterface(fn=bot_streaming, css=CSS, fill_height=True, title="LLaVA Llama-3-8B", examples=[{"text": "What is on the flower?", "files":["./bee.jpg"]},