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Update app.py
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app.py
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@@ -19,21 +19,9 @@ print (loaded_model)
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now = datetime.now()
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date_time_str = now.strftime("%Y-%m-%d %H:%M:%S")
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client = InferenceClient(
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"mistralai/Mixtral-8x7B-Instruct-v0.1"
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)
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############################################
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model = gr.load("models/stabilityai/sdxl-turbo")
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VERBOSE = True
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MAX_HISTORY = 10000
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#MODEL = "gpt-3.5-turbo" # "gpt-4"
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history = []
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def infer(txt):
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return (model(txt))
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def format_prompt(message, history):
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prompt = "<s>"
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for user_prompt, bot_response in history:
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@@ -42,12 +30,7 @@ def format_prompt(message, history):
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prompt += f"[INST] {message} [/INST]"
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return prompt
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def run_gpt(
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in_prompt,
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history,
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):
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print(f'history :: {history}')
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prompt=format_prompt(in_prompt,history)
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seed = random.randint(1,1111111111111111)
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@@ -60,21 +43,12 @@ def run_gpt(
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do_sample=True,
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seed=seed,
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)
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content = agent.GENERATE_PROMPT + prompt
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print(content)
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#formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
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#formatted_prompt = format_prompt(f'{content}', history)
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stream = client.text_generation(content, **generate_kwargs, stream=True, details=True, return_full_text=False)
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resp = ""
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for response in stream:
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resp += response.token.text
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#history.append((in_prompt,resp))
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return resp
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@@ -108,8 +82,6 @@ def run(purpose,history,model_drop):
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else:
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yield ([(purpose,"an Error occured")],None)
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################################################
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with gr.Blocks() as iface:
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@@ -117,27 +89,15 @@ with gr.Blocks() as iface:
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#chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
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with gr.Row():
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with gr.Column():
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chatbot=gr.Chatbot()
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msg = gr.Textbox()
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model_drop=gr.Dropdown(label="Diffusion Models", type="index", choices=[m for m in models], value=models[0])
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with gr.Row():
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submit_b = gr.Button()
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stop_b = gr.Button("Stop")
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clear = gr.ClearButton([msg, chatbot])
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sumbox=gr.Image(label="Image")
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sub_b = submit_b.click(run, [msg,chatbot,model_drop],[chatbot,sumbox])
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sub_e = msg.submit(run, [msg, chatbot,model_drop], [chatbot,sumbox])
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stop_b.click(None,None,None, cancels=[sub_b,sub_e])
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iface.launch()
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'''
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gr.ChatInterface(
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fn=run,
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chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
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title="Mixtral 46.7B\nMicro-Agent\nInternet Search <br> development test",
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examples=examples,
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concurrency_limit=20,
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).launch(show_api=False)
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'''
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now = datetime.now()
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date_time_str = now.strftime("%Y-%m-%d %H:%M:%S")
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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history = []
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def format_prompt(message, history):
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prompt = "<s>"
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for user_prompt, bot_response in history:
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prompt += f"[INST] {message} [/INST]"
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return prompt
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def run_gpt(in_prompt,history):
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print(f'history :: {history}')
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prompt=format_prompt(in_prompt,history)
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seed = random.randint(1,1111111111111111)
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do_sample=True,
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seed=seed,
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)
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content = agent.GENERATE_PROMPT + prompt
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print(content)
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stream = client.text_generation(content, **generate_kwargs, stream=True, details=True, return_full_text=False)
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resp = ""
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for response in stream:
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resp += response.token.text
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return resp
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else:
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yield ([(purpose,"an Error occured")],None)
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################################################
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with gr.Blocks() as iface:
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#chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
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with gr.Row():
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with gr.Column():
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chatbot=gr.Chatbot(show_copy_button=True, layout='panel')
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msg = gr.Textbox()
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model_drop=gr.Dropdown(label="Diffusion Models", type="index", choices=[m for m in models], value=models[0])
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with gr.Row():
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submit_b = gr.Button()
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stop_b = gr.Button("Stop")
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clear = gr.ClearButton([msg, chatbot])
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sumbox=gr.Image(label="Image")
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sub_b = submit_b.click(run, [msg,chatbot,model_drop],[chatbot,sumbox])
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sub_e = msg.submit(run, [msg, chatbot,model_drop], [chatbot,sumbox])
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stop_b.click(None,None,None, cancels=[sub_b,sub_e])
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iface.launch()
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