Ivy1997 commited on
Commit
78cefb8
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1 Parent(s): 37316bf

Update app.py

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Files changed (1) hide show
  1. app.py +14 -8
app.py CHANGED
@@ -4,8 +4,7 @@ from huggingface_hub import InferenceClient
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  """
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  For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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  """
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- client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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-
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  def respond(
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  message,
@@ -14,6 +13,7 @@ def respond(
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  max_tokens,
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  temperature,
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  top_p,
 
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  ):
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  messages = [{"role": "system", "content": system_message}]
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@@ -25,21 +25,27 @@ def respond(
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  messages.append({"role": "user", "content": message})
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  response = ""
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  for message in client.chat_completion(
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- messages,
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- max_tokens=max_tokens,
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  stream=True,
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- temperature=temperature,
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- top_p=top_p,
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  ):
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  token = message.choices[0].delta.content
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  response += token
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  yield response
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-
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  """
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  For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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  """
@@ -56,9 +62,9 @@ demo = gr.ChatInterface(
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  step=0.05,
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  label="Top-p (nucleus sampling)",
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  ),
 
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  ],
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  )
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-
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  if __name__ == "__main__":
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  demo.launch()
 
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  """
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  For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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  """
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+ client = InferenceClient("AI-Safeguard/Ivy-VL-llava")
 
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  def respond(
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  message,
 
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  max_tokens,
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  temperature,
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  top_p,
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+ image=None,
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  ):
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  messages = [{"role": "system", "content": system_message}]
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  messages.append({"role": "user", "content": message})
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+ payload = {
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+ "messages": messages,
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+ "max_tokens": max_tokens,
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+ "temperature": temperature,
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+ "top_p": top_p,
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+ }
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+
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+ if image is not None:
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+ payload["image"] = image
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+
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  response = ""
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  for message in client.chat_completion(
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+ payload,
 
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  stream=True,
 
 
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  ):
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  token = message.choices[0].delta.content
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  response += token
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  yield response
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  """
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  For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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  """
 
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  step=0.05,
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  label="Top-p (nucleus sampling)",
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  ),
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+ gr.Image(type="filepath", label="Input Image (optional)"),
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  ],
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  )
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  if __name__ == "__main__":
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  demo.launch()