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Parent(s):
27adc53
Update app.py
Browse files
app.py
CHANGED
@@ -1,12 +1,30 @@
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import streamlit as st
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from huggingface_hub import InferenceClient
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st.set_page_config(page_title="MAYA 3.0 CHATBOT IA", page_icon=":robot_face:")
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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conversation_history = []
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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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@@ -21,56 +39,33 @@ def generate_response(user_input, history, system_prompt, temperature=0.9, max_n
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seed=42,
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)
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formatted_prompt = format_prompt(f"{system_prompt}, {
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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] {user_prompt} [/INST]"
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prompt += f" {bot_response}</s> "
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prompt += f"[INST] {message} [/INST]"
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return prompt
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def validate_input(user_input, system_prompt):
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if not user_input:
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st.warning("Por favor ingrese un mensaje.")
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return False
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if not system_prompt:
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st.warning("Por favor ingrese un prompt del sistema.")
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return False
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return True
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def display_help():
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st.write("Tambi茅n puede ingresar un prompt del sistema para guiar la generaci贸n de texto.")
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def display_conversation_history(history):
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for role, message in history:
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if role == "user":
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st.text(f"Usuario: {message}")
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elif role == "bot":
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st.text(f"Chatbot: {message}")
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temperature = st.hidden_selectbox("Temperatura", options=list(range(1, 11)))
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max_new_tokens = st.hidden_selectbox("N煤mero m谩ximo de nuevos tokens", options=list(range(1, 2049)))
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top_p = st.hidden_selectbox("Top-p (nucleus sampling)", options=list(range(1, 11)))
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repetition_penalty = st.hidden_selectbox("Penalizaci贸n por repetici贸n", options=list(range(1, 2)))
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bot_response = generate_response(user_input, conversation_history, system_prompt, temperature, max_new_tokens, top_p, repetition_penalty)
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conversation_history.append(("bot", bot_response))
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from huggingface_hub import InferenceClient
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import gradio as gr
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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# Funci贸n para generar el system_prompt basado en la opci贸n seleccionada en el radiobutton
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def get_system_prompt(selected_option):
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prompts = {
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"MAESTRO": "Soy un maestro que te guiar谩 sabiamente.",
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"MEDICO": "Como m茅dico, te dar茅 informaci贸n de salud.",
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"TERAPEUTA": "Ofrezco apoyo terap茅utico para tu bienestar emocional.",
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"NUTRIOLOGO": "Como nutri贸logo, te proporcionar茅 consejos nutricionales.",
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"FILOSOFO": "Reflexionemos sobre la filosof铆a de la vida.",
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}
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return prompts.get(selected_option, "")
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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] {user_prompt} [/INST]"
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prompt += f" {bot_response}</s> "
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prompt += f"[INST] {message} [/INST]"
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return prompt
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def generate(
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prompt, history, system_prompt="", temperature=0.9, max_new_tokens=2048, top_p=0.95, repetition_penalty=1.0,
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):
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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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seed=42,
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)
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formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
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stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
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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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# Configuraci贸n de la interfaz con radiobuttons en lugar de barra lateral
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roles_options = ["MAESTRO", "MEDICO", "TERAPEUTA", "NUTRIOLOGO", "FILOSOFO"]
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roles_radio = gr.Radio(label="Selecciona un rol:", choices=roles_options)
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# Funci贸n para actualizar el system_prompt cuando cambia la opci贸n en el radiobutton
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def update_system_prompt(selected_option):
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return get_system_prompt(selected_option)
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# Configuraci贸n de la interfaz de chat con radiobuttons
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chat_interface = gr.ChatInterface(
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fn=generate,
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inputs=["text", "text", "text", "number", "number", "number"],
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outputs=["text"],
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live=True,
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theme="huggingface",
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inputs=[roles_radio, "text", "text", "number", "number", "number"],
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on_input_change=update_system_prompt,
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)
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# Lanzar la interfaz
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chat_interface.launch()
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