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Update app.py
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app.py
CHANGED
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@@ -5,25 +5,19 @@ import random
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client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
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def format_prompt(message, history):
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prompt = "O ChatGEO é um assistente virtual especializado em geografia
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if history:
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for user_prompt, bot_response in history:
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prompt += f"<start_of_turn>user{user_prompt}<end_of_turn>"
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prompt += f"<start_of_turn>model{bot_response}"
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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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temperature = float(temperature)
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if temperature < 1e-2:
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temperature = 1e-2
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top_p = float(top_p)
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if not history:
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history = []
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generate_kwargs = dict(
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temperature=temperature,
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@@ -31,25 +25,27 @@ def generate(prompt, history, temperature=0.7, max_new_tokens=1024, top_p=0.90,
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top_p=top_p,
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repetition_penalty=repetition_penalty,
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do_sample=True,
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seed=
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)
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formatted_prompt = format_prompt(prompt, history)
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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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output += response.token.text
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yield output
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return output
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mychatbot = gr.Chatbot(
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avatar_images=["./user.png", "./botgm.png"],
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additional_inputs=[
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gr.Slider(
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label="Temperature",
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value=0.7,
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@@ -61,18 +57,18 @@ additional_inputs=[
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),
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gr.Slider(
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label="Max new tokens",
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value=
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minimum=0,
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maximum=8000,
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step=64,
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interactive=True,
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info="The maximum
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),
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gr.Slider(
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label="Top-p",
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value=0.90,
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minimum=0.0,
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maximum=1,
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step=0.01,
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interactive=True,
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info="Higher values sample more low-probability tokens",
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@@ -88,19 +84,18 @@ additional_inputs=[
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)
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]
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)
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with gr.Blocks() as demo:
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gr.HTML("<center><h2 style='font-size: 22px; text-align: center; color: #007BFF;'>ChatGEO IA</h2><p><b>Tire suas dúvidas, peça sugestões sobre os assuntos da Geografia e muito mais!</b></p></center>")
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iface.render()
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demo.queue().launch(show_api=False)
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client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
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def format_prompt(message, history):
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prompt = "O ChatGEO é um assistente virtual especializado em geografia..."
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if history:
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for user_prompt, bot_response in history:
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prompt += f"<start_of_turn>user{user_prompt}<end_of_turn>"
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prompt += f"<start_of_turn>model{bot_response}<end_of_turn>"
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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 generate(message, history, temperature=0.7, max_new_tokens=1024, top_p=0.90, repetition_penalty=0.9):
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temperature = max(float(temperature), 1e-2)
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top_p = float(top_p)
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formatted_prompt = format_prompt(message, history)
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generate_kwargs = dict(
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temperature=temperature,
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top_p=top_p,
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repetition_penalty=repetition_penalty,
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do_sample=True,
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seed=random.randint(1, 1111111111111111),
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)
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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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output += response.token.text
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yield output
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history.append((message, output)) # Aqui, 'message' é a entrada do usuário e 'output' é a resposta do bot.
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return output
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mychatbot = gr.Chatbot(
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avatar_images=["./user.png", "./botgm.png"],
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bubble_full_width=False,
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show_label=False,
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show_copy_button=True,
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likeable=True,
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)
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additional_inputs = [
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gr.Slider(
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label="Temperature",
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value=0.7,
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),
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gr.Slider(
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label="Max new tokens",
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value=1024, # Reduzido para um valor mais razoável.
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minimum=0,
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maximum=8000,
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step=64,
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interactive=True,
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info="The maximum number of new tokens",
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),
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gr.Slider(
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label="Top-p",
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value=0.90,
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minimum=0.0,
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maximum=1.0,
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step=0.01,
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interactive=True,
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info="Higher values sample more low-probability tokens",
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)
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]
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iface = gr.ChatInterface(
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fn=generate,
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chatbot=mychatbot,
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additional_inputs=additional_inputs,
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submit_btn='Enviar',
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retry_btn=None,
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undo_btn=None,
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clear_btn=None
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)
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with gr.Blocks() as demo:
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gr.HTML("<center><h2 style='font-size: 22px; text-align: center; color: #007BFF;'>ChatGEO IA</h2><p><b>Tire suas dúvidas, peça sugestões sobre os assuntos da Geografia e muito mais!</b></p></center>")
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iface.render()
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demo.queue().launch(show_api=False)
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