Añadido Excel con resultados de prompts

Fer14 · Mar 23, 2023 · f4ca49b · f4ca49b
1 parent 0487afd
commit f4ca49b
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diff --git a/openai_api/docs/prompt_history.xlsx b/openai_api/docs/prompt_history.xlsx
diff --git a/openai_api/prueba_openai_api.ipynb b/openai_api/prueba_openai_api.ipynb
@@ -2,19 +2,126 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Librerias requeridas:\n"
+    "# Librerias requeridas:\n",
+    "import os\n",
+    "import openai"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Global variables:\n",
+    "API_KEY = \"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\"\n",
+    "# openai.api_key = os.getenv(API_KEY)\n",
+    "openai.api_key = API_KEY"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  \"content\": \"\\n\\nClaro, hablo espa\\u00f1ol con fluidez. \\u00bfEn qu\\u00e9 te puedo ayudar?\",\n",
+      "  \"role\": \"assistant\"\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "completion = openai.ChatCompletion.create(\n",
+    "  model=\"gpt-3.5-turbo\",\n",
+    "  messages=[\n",
+    "    {\"role\": \"user\", \"content\": \"Podemos pasar a hablar español?\"}\n",
+    "  ]\n",
+    ")\n",
+    "\n",
+    "print(completion.choices[0].message)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\n",
+      "Claro, hablo español con fluidez. ¿En qué te puedo ayudar?\n"
+     ]
+    }
+   ],
+   "source": [
+    "texto = \"\\n\\nClaro, hablo espa\\u00f1ol con fluidez. \\u00bfEn qu\\u00e9 te puedo ayudar?\"\n",
+    "texto_procesado = texto.encode('utf-8').decode('utf-8')\n",
+    "print(texto_procesado)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\n",
+      "Claro, hablo español con fluidez. ¿En qué te puedo ayudar?\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(u\"\\n\\nClaro, hablo espa\\u00f1ol con fluidez. \\u00bfEn qu\\u00e9 te puedo ayudar?\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.8.10 ('fever_technical_asj': venv)",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
   },
-  "orig_nbformat": 4
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "cd42b88907c03ef0eab52c098042680f26b177116f43374bf146703bc18f33c4"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2

diff --git a/openai_api/src/limpieza.py b/openai_api/src/limpieza.py