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Santitonelli
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•
d060f2c
1
Parent(s):
805c967
Update app.py
Browse files
app.py
CHANGED
@@ -1,9 +1,9 @@
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import gradio as gr
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import plotly.express as px
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from openai import OpenAI
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import time
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import os
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from dotenv import load_dotenv
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load_dotenv()
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api_key = os.getenv("OPENAI_API_KEY")
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@@ -15,15 +15,6 @@ print("Cliente OpenAI inicializado")
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assistant_id = "asst_0hq3iRy6LX0YLZP0QVzg17fT"
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def random_plot():
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df = px.data.iris()
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fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species",
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size='petal_length', hover_data=['petal_width'])
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return fig
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def print_like_dislike(x: gr.LikeData):
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print(x.index, x.value, x.liked)
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def add_message(history, message):
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if message.strip() != "":
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history.append((message, None))
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@@ -65,8 +56,30 @@ def bot(history):
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if run.status == "requires_action":
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print("La ejecución requiere una acción")
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if run.status != "completed":
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print(f"La ejecución terminó con estado: {run.status}")
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@@ -93,8 +106,6 @@ def bot(history):
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print(f"Error en la función bot: {e}")
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return history + [("Lo siento, ocurrió un error inesperado. Por favor, intenta de nuevo.", None)]
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fig = random_plot()
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with gr.Blocks(fill_height=True) as demo:
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chatbot = gr.Chatbot(
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elem_id="chatbot",
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@@ -109,7 +120,6 @@ with gr.Blocks(fill_height=True) as demo:
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chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])
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bot_msg = chat_msg.then(bot, chatbot, chatbot, api_name="bot_response")
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bot_msg.then(lambda: gr.Textbox(interactive=True), None, [chat_input])
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chatbot.like(print_like_dislike, None, None)
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print("Iniciando la aplicación Gradio")
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demo.queue()
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import gradio as gr
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from openai import OpenAI
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import time
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import os
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from dotenv import load_dotenv
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import json
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load_dotenv()
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api_key = os.getenv("OPENAI_API_KEY")
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assistant_id = "asst_0hq3iRy6LX0YLZP0QVzg17fT"
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def add_message(history, message):
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if message.strip() != "":
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history.append((message, None))
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if run.status == "requires_action":
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print("La ejecución requiere una acción")
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required_actions = run.required_action.submit_tool_outputs.tool_calls
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tool_outputs = []
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for action in required_actions:
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function_name = action.function.name
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function_args = json.loads(action.function.arguments)
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# Aquí simplemente pasamos la llamada a la función al asistente
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result = json.dumps({
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"function_called": function_name,
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"arguments": function_args
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})
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tool_outputs.append({
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"tool_call_id": action.id,
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"output": result
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})
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client.beta.threads.runs.submit_tool_outputs(
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thread_id=thread.id,
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run_id=run.id,
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tool_outputs=tool_outputs
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)
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continue
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if run.status != "completed":
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print(f"La ejecución terminó con estado: {run.status}")
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print(f"Error en la función bot: {e}")
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return history + [("Lo siento, ocurrió un error inesperado. Por favor, intenta de nuevo.", None)]
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with gr.Blocks(fill_height=True) as demo:
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chatbot = gr.Chatbot(
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elem_id="chatbot",
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chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])
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bot_msg = chat_msg.then(bot, chatbot, chatbot, api_name="bot_response")
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bot_msg.then(lambda: gr.Textbox(interactive=True), None, [chat_input])
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print("Iniciando la aplicación Gradio")
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demo.queue()
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