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KingNish commited on
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1 Parent(s): dc8adce

Update app.py

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Files changed (1) hide show
  1. app.py +37 -1
app.py CHANGED
@@ -2,6 +2,32 @@ import re
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  import gradio as gr
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  from huggingface_hub import InferenceClient
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  client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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  system_instructions = "[SYSTEM] You will be provided with text, and your task is to classify task tasks are (text generation, image generation, tts) answer with only task type that prompt user give, do not say anything else and stop as soon as possible. Example: User- What is friction , BOT - text generation [USER]"
@@ -25,7 +51,17 @@ def classify_task(prompt):
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  if not response.token.text == "</s>":
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  output += response.token.text
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- return output
 
 
 
 
 
 
 
 
 
 
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  # Create the Gradio interface
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  with gr.Blocks() as demo:
 
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  import gradio as gr
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  from huggingface_hub import InferenceClient
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+ client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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+
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+ system_instructions = "[SYSTEM] You are the Best AI, you can solve complex problems you answer in short , simple and easy language.[USER]"
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+
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+ def text(prompt):
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+ generate_kwargs = dict(
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+ temperature=0.5,
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+ max_new_tokens=5,
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+ top_p=0.7,
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+ repetition_penalty=1.2,
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+ do_sample=True,
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+ seed=42,
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+ )
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+
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+ formatted_prompt = system_instructions + prompt + "[BOT]"
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+ stream = client.text_generation(
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+ formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
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+ output = ""
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+
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+ for response in stream:
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+ if not response.token.text == "</s>":
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+ output += response.token.text
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+
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+ return output
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+
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+
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  client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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  system_instructions = "[SYSTEM] You will be provided with text, and your task is to classify task tasks are (text generation, image generation, tts) answer with only task type that prompt user give, do not say anything else and stop as soon as possible. Example: User- What is friction , BOT - text generation [USER]"
 
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  if not response.token.text == "</s>":
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  output += response.token.text
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+ yield output
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+
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+ if 'text' in output.lower():
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+ user = text(prompt)
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+ elif 'image' in output.lower():
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+ return 'Image Generation'
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+ else:
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+ return 'Unknown Task'
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+
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+
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+
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  # Create the Gradio interface
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  with gr.Blocks() as demo: