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Update app.py
Browse files
app.py
CHANGED
@@ -8,37 +8,33 @@ models=[
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"google/gemma-7b",
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"google/gemma-7b-it",
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"google/gemma-2b",
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"google/gemma-2b-it"
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]
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client_z=[]
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VERBOSE=False
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def
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if VERBOSE==True:
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print(type(inp))
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print(inp)
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print(models[inp])
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client_z.clear()
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client_z.append(InferenceClient(models[inp]))
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return gr.update(label=models[inp])
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def format_prompt(message, history, cust_p):
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prompt = ""
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if history:
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for user_prompt, bot_response in history:
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prompt += f"
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prompt
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prompt+=cust_p.replace("USER_INPUT",message)
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return prompt
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def chat_inf(system_prompt,prompt,history,memory,client_choice,seed,temp,tokens,top_p,rep_p,chat_mem
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#token max=8192
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hist_len=0
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client=
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if not history:
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history = []
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hist_len=0
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@@ -62,10 +58,8 @@ def chat_inf(system_prompt,prompt,history,memory,client_choice,seed,temp,tokens,
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do_sample=True,
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seed=seed,
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)
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else:
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formatted_prompt = format_prompt(prompt, memory[0-chat_mem:],cust_p)
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stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
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output = ""
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for response in stream:
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@@ -74,7 +68,6 @@ def chat_inf(system_prompt,prompt,history,memory,client_choice,seed,temp,tokens,
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history.append((prompt,output))
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memory.append((prompt,output))
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yield history,memory
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if VERBOSE==True:
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print("\n######### HIST "+str(in_len))
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print("\n######### TOKENS "+str(tokens))
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@@ -116,8 +109,6 @@ with gr.Blocks() as app:
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stop_btn=gr.Button("Stop")
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clear_btn=gr.Button("Clear")
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client_choice=gr.Dropdown(label="Models",type='index',choices=[c for c in models],value=models[0],interactive=True)
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with gr.Accordion("Prompt Format",open=False):
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custom_prompt=gr.Textbox(label="Modify Prompt Format", info="For testing purposes. 'USER_INPUT' is where 'SYSTEM_PROMPT, PROMPT' will be placed", lines=5,value="<start_of_turn>userUSER_INPUT<end_of_turn><start_of_turn>model")
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with gr.Column(scale=1):
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with gr.Group():
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rand = gr.Checkbox(label="Random Seed", value=True)
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@@ -140,15 +131,9 @@ with gr.Blocks() as app:
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theme=gr.Radio(label="Theme", choices=["light","dark"],value="light")
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chatblock=gr.Dropdown(label="Chatblocks",info="Choose specific blocks of chat",choices=[c for c in range(1,40)],multiselect=True)
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client_choice.change(load_models,client_choice,[chat_b])
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app.load(load_models,client_choice,[chat_b])
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im_go=im_btn.click(get_screenshot,[chat_b,im_height,im_width,chatblock,theme,wait_time],img)
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go=btn.click(check_rand,[rand,seed],seed).then(chat_inf,[sys_inp,inp,chat_b,memory,client_choice,seed,temp,tokens,top_p,rep_p,chat_mem,custom_prompt],[chat_b,memory])
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stop_btn.click(None,None,None,cancels=[go,im_go,chat_sub])
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clear_btn.click(clear_fn,None,[inp,sys_inp,chat_b,memory])
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app.queue(default_concurrency_limit=10).launch()
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"google/gemma-7b",
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"google/gemma-7b-it",
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"google/gemma-2b",
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"google/gemma-2b-it"
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]
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clients=[
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InferenceClient(models[0]),
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InferenceClient(models[1]),
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InferenceClient(models[2]),
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InferenceClient(models[3]),
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]
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VERBOSE=False
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def format_prompt(message, history):
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prompt = ""
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if history:
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#<start_of_turn>userHow does the brain work?<end_of_turn><start_of_turn>model
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for user_prompt, bot_response in history:
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prompt += f"{user_prompt}\n"
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#print(prompt)
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prompt += f"{bot_response}\n"
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#print(prompt)
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prompt += f"<start_of_turn>user{message}<end_of_turn><start_of_turn>model"
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return prompt
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def chat_inf(system_prompt,prompt,history,memory,client_choice,seed,temp,tokens,top_p,rep_p,chat_mem):
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#token max=8192
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hist_len=0
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client=clients[int(client_choice)-1]
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if not history:
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history = []
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hist_len=0
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do_sample=True,
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seed=seed,
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)
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formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", memory[0-chat_mem:])
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#print("\n######### PROMPT "+str(len(formatted_prompt)))
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stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
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output = ""
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for response in stream:
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history.append((prompt,output))
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memory.append((prompt,output))
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yield history,memory
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if VERBOSE==True:
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print("\n######### HIST "+str(in_len))
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print("\n######### TOKENS "+str(tokens))
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stop_btn=gr.Button("Stop")
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clear_btn=gr.Button("Clear")
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client_choice=gr.Dropdown(label="Models",type='index',choices=[c for c in models],value=models[0],interactive=True)
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with gr.Column(scale=1):
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with gr.Group():
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rand = gr.Checkbox(label="Random Seed", value=True)
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theme=gr.Radio(label="Theme", choices=["light","dark"],value="light")
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chatblock=gr.Dropdown(label="Chatblocks",info="Choose specific blocks of chat",choices=[c for c in range(1,40)],multiselect=True)
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im_go=im_btn.click(get_screenshot,[chat_b,im_height,im_width,chatblock,theme,wait_time],img)
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chat_sub=inp.submit(check_rand,[rand,seed],seed).then(chat_inf,[sys_inp,inp,chat_b,memory,client_choice,seed,temp,tokens,top_p,rep_p,chat_mem],[chat_b,memory])
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go=btn.click(check_rand,[rand,seed],seed).then(chat_inf,[sys_inp,inp,chat_b,memory,client_choice,seed,temp,tokens,top_p,rep_p,chat_mem],[chat_b,memory])
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stop_btn.click(None,None,None,cancels=[go,im_go,chat_sub])
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clear_btn.click(clear_fn,None,[inp,sys_inp,chat_b,memory])
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app.queue(default_concurrency_limit=10).launch()
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