clean up example (#27)

clean up jupyter notebook for huggingface

examples/huggingface_hub.ipynb

@@ -7,15 +7,24 @@
    "metadata": {},
    "outputs": [
     {
-     "ename": "ValidationError",
-     "evalue": "1 validation error for HuggingFaceHub\n__root__\n  Did not find HuggingFace API token, please add an environment variable `HUGGINGFACEHUB_API_TOKEN` which contains it. (type=value_error)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValidationError\u001b[0m                           Traceback (most recent call last)",
-      "\u001b[0;32m/var/folders/y6/8_bzdg295ld6s1_97_12m4lr0000gn/T/ipykernel_56760/1512947828.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      5\u001b[0m Answer: Let's think step by step.\"\"\"\n\u001b[1;32m      6\u001b[0m \u001b[0mprompt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPrompt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtemplate\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtemplate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput_variables\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"question\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mllm_chain\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mLLMChain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprompt\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprompt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mllm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mHuggingFaceHub\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrepo_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"gpt2\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtemperature\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1e-10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0mquestion\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/workplace/langchain/.venv/lib/python3.7/site-packages/pydantic/main.cpython-37m-darwin.so\u001b[0m in \u001b[0;36mpydantic.main.BaseModel.__init__\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;31mValidationError\u001b[0m: 1 validation error for HuggingFaceHub\n__root__\n  Did not find HuggingFace API token, please add an environment variable `HUGGINGFACEHUB_API_TOKEN` which contains it. (type=value_error)"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\n",
+      "Justin Beiber was born in New York City on July 1, 1967. He was the son of the late John Beiber and his wife, Mary.\n",
+      "\n",
+      "Justin was raised in a small town in the Bronx, New York. He attended the University of New York at Buffalo, where he majored in English.\n",
+      "\n",
+      "Justin was a member of the New York Giants from 1967 to 1969. He was a member of the New York Giants from 1969 to 1971.\n",
+      "\n",
+      "Justin was a member of the New York Giants from 1971 to 1972. He was a member of the New York Giants from 1972 to 1974.\n",
+      "\n",
+      "Justin was a member of the New York Giants from 1974 to 1975. He was a member of the New York Giants from 1975 to 1977.\n",
+      "\n",
+      "Justin was a member of the New York Giants from 1977 to 1978. He was a member of the New York Giants from 1978 to 1979.\n",
+      "\n",
+      "Justin was a member of the New York Giants from 1979 to\n"
      ]
     }
    ],
@@ -30,7 +39,7 @@
     "\n",
     "question = \"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\n",
     "\n",
-    "llm_chain.predict(question=question)"
+    "print(llm_chain.predict(question=question))"
    ]
   },
   {