michailroussos commited on
Commit
3f4cd3b
·
1 Parent(s): 1960c65

reverting the changes

Browse files
Files changed (2) hide show
  1. app.py +34 -19
  2. requirements.txt +1 -5
app.py CHANGED
@@ -1,12 +1,11 @@
1
  import gradio as gr
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- from ctransformers import AutoModelForCausalLM
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- # Use ctransformers for GGUF models
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- client = AutoModelForCausalLM.from_pretrained(
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- "michailroussos/model-mistral_CP1250",
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- model_type='mistral',
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- gpu_layers=0 # Set to 0 for CPU, or appropriate number for GPU
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- )
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  def respond(
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  message,
@@ -16,19 +15,34 @@ def respond(
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  temperature,
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  top_p,
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  ):
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- # Combine system message and current message
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- full_prompt = f"{system_message}\n{message}"
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-
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- # Generate response
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- response = client(
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- full_prompt,
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- max_new_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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- return response
 
 
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  demo = gr.ChatInterface(
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  respond,
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  additional_inputs=[
@@ -45,5 +59,6 @@ demo = gr.ChatInterface(
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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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  import gradio as gr
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+ 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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+ client = InferenceClient("michailroussos/lora_model-mistral_t2")
 
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  def respond(
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  message,
 
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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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+
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+ for val in history:
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+ if val[0]:
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+ messages.append({"role": "user", "content": val[0]})
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+ if val[1]:
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+ messages.append({"role": "assistant", "content": val[1]})
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+
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+ messages.append({"role": "user", "content": message})
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+
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+ response = ""
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+
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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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+
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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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+ """
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  demo = gr.ChatInterface(
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  respond,
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  additional_inputs=[
 
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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()
requirements.txt CHANGED
@@ -1,5 +1 @@
1
- huggingface_hub==0.25.2
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- transformers==4.47.0
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- torch
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- ctransformers
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- gradio
 
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+ huggingface_hub==0.25.2