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{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"mount_file_id":"1oOV3Nbtygx8NjIUKyhzvc5pjyjSO2HMj","authorship_tag":"ABX9TyPD+VcEEUTENwaT+fVlFXAX"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","source":["!pip install gradio Pillow"],"metadata":{"id":"scrrmNSCmvtn","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1714423655460,"user_tz":-330,"elapsed":20404,"user":{"displayName":"Ananya Verma","userId":"13959919593344575861"}},"outputId":"000fd11b-89e5-4812-9db7-8d02d2f4e227"},"execution_count":1,"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting gradio\n"," Downloading gradio-4.28.3-py3-none-any.whl (12.2 MB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12.2/12.2 MB\u001b[0m \u001b[31m22.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: Pillow in 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python-multipart, orjson, h11, aiofiles, uvicorn, starlette, httpcore, typer, httpx, fastapi, gradio-client, gradio\n"," Attempting uninstall: typer\n"," Found existing installation: typer 0.9.4\n"," Uninstalling typer-0.9.4:\n"," Successfully uninstalled typer-0.9.4\n","\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n","spacy 3.7.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\n","weasel 0.3.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\u001b[0m\u001b[31m\n","\u001b[0mSuccessfully installed aiofiles-23.2.1 fastapi-0.110.2 ffmpy-0.3.2 gradio-4.28.3 gradio-client-0.16.0 h11-0.14.0 httpcore-1.0.5 httpx-0.27.0 orjson-3.10.1 pydub-0.25.1 python-multipart-0.0.9 ruff-0.4.2 semantic-version-2.10.0 shellingham-1.5.4 starlette-0.37.2 tomlkit-0.12.0 typer-0.12.3 uvicorn-0.29.0 websockets-11.0.3\n"]}]},{"cell_type":"code","execution_count":2,"metadata":{"id":"CErRb_TVmcb5","colab":{"base_uri":"https://localhost:8080/","height":602},"executionInfo":{"status":"error","timestamp":1714423686701,"user_tz":-330,"elapsed":27938,"user":{"displayName":"Ananya Verma","userId":"13959919593344575861"}},"outputId":"d3fd45fc-b7cd-4750-c8d0-155b56d6645d"},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n","The secret `HF_TOKEN` does not exist in your Colab secrets.\n","To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n","You will be able to reuse this secret in all of your notebooks.\n","Please note that authentication is recommended but still optional to access public models or datasets.\n"," warnings.warn(\n","/usr/local/lib/python3.10/dist-packages/gradio/blocks.py:736: UserWarning: Cannot load compact. Caught Exception: 404 Client Error: Not Found for url: https://huggingface.co/api/spaces/compact (Request ID: Root=1-66300771-633c80fa643ecab632f9a7d8;86545e54-1bc2-4b30-bc34-35984032fb91)\n","\n","Sorry, we can't find the page you are looking for.\n"," warnings.warn(f\"Cannot load {theme}. Caught Exception: {str(e)}\")\n","/usr/local/lib/python3.10/dist-packages/gradio/interface.py:374: UserWarning: The `allow_flagging` parameter in `Interface` nowtakes a string value ('auto', 'manual', or 'never'), not a boolean. Setting parameter to: 'never'.\n"," warnings.warn(\n"]},{"output_type":"stream","name":"stdout","text":["Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n","\n","Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n"]},{"output_type":"error","ename":"KeyboardInterrupt","evalue":"","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)","\u001b[0;32m<ipython-input-2-8478f76777ef>\u001b[0m in \u001b[0;36m<cell line: 60>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 58\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 59\u001b[0m \u001b[0;31m# Launch the interface\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 60\u001b[0;31m \u001b[0miface\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlaunch\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[0;32m/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\u001b[0m in \u001b[0;36mlaunch\u001b[0;34m(self, inline, inbrowser, share, debug, max_threads, auth, auth_message, prevent_thread_lock, show_error, server_name, server_port, height, width, favicon_path, ssl_keyfile, ssl_certfile, ssl_keyfile_password, ssl_verify, quiet, show_api, allowed_paths, blocked_paths, root_path, app_kwargs, state_session_capacity, share_server_address, share_server_protocol, auth_dependency, max_file_size, _frontend)\u001b[0m\n\u001b[1;32m 2318\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2319\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshare_url\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2320\u001b[0;31m share_url = networking.setup_tunnel(\n\u001b[0m\u001b[1;32m 2321\u001b[0m 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request(\n\u001b[0m\u001b[1;32m 199\u001b[0m \u001b[0;34m\"GET\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 200\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/httpx/_api.py\u001b[0m in \u001b[0;36mrequest\u001b[0;34m(method, url, params, content, data, files, json, headers, cookies, auth, proxy, proxies, timeout, follow_redirects, verify, cert, trust_env)\u001b[0m\n\u001b[1;32m 104\u001b[0m \u001b[0mtrust_env\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrust_env\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 105\u001b[0m ) as client:\n\u001b[0;32m--> 106\u001b[0;31m return client.request(\n\u001b[0m\u001b[1;32m 107\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 108\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/httpx/_client.py\u001b[0m in \u001b[0;36mrequest\u001b[0;34m(self, method, url, content, data, files, json, params, headers, cookies, auth, follow_redirects, timeout, extensions)\u001b[0m\n\u001b[1;32m 825\u001b[0m \u001b[0mextensions\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mextensions\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 826\u001b[0m )\n\u001b[0;32m--> 827\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mauth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mauth\u001b[0m\u001b[0;34m,\u001b[0m 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self._send_handling_auth(\n\u001b[0m\u001b[1;32m 915\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 916\u001b[0m \u001b[0mauth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mauth\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/httpx/_client.py\u001b[0m in \u001b[0;36m_send_handling_auth\u001b[0;34m(self, request, auth, follow_redirects, history)\u001b[0m\n\u001b[1;32m 940\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 941\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 942\u001b[0;31m response = self._send_handling_redirects(\n\u001b[0m\u001b[1;32m 943\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 944\u001b[0m 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Note that in this case we still have to manage\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/httpcore/_sync/connection_pool.py\u001b[0m in \u001b[0;36mhandle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 194\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 195\u001b[0m \u001b[0;31m# Send the request on the assigned connection.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 196\u001b[0;31m response = connection.handle_request(\n\u001b[0m\u001b[1;32m 197\u001b[0m \u001b[0mpool_request\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 198\u001b[0m )\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/httpcore/_sync/connection.py\u001b[0m in \u001b[0;36mhandle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 99\u001b[0m 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request...\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/httpcore/_sync/http11.py\u001b[0m in \u001b[0;36mhandle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 111\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 112\u001b[0m \u001b[0mtrailing_data\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 113\u001b[0;31m ) = self._receive_response_headers(**kwargs)\n\u001b[0m\u001b[1;32m 114\u001b[0m trace.return_value = (\n\u001b[1;32m 115\u001b[0m \u001b[0mhttp_version\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/httpcore/_sync/http11.py\u001b[0m in \u001b[0;36m_receive_response_headers\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 184\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 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Can you provide some travel tips?\"}\n"," response = requests.post(API_URL, headers=HEADERS, json=payload)\n"," if response.status_code == 200:\n"," return response.json()[0]['generated_text']\n"," else:\n"," return \"Sorry, I couldn't generate travel tips for Japan.\"\n","\n","# Function to query the image generation model based on Japan\n","def query_image_generation(text):\n"," API_URL = \"https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0\"\n"," headers = {\"Authorization\": \"Bearer HF_TOKEN\"}\n"," response = requests.post(API_URL, headers=headers, json={\"inputs\": text})\n"," if response.status_code == 200:\n"," image_bytes = response.content\n"," # Open the image using PIL from the image bytes\n"," image = Image.open(io.BytesIO(image_bytes))\n"," return image\n"," else:\n"," return None\n","\n","# Define the Gradio interface\n","def travel_planner(destination, query):\n"," # Query travel tips model\n"," travel_tips = query_travel_tips(destination)\n"," # Query image generation model\n"," image = query_image_generation(query)\n","\n"," return travel_tips, image\n","\n","# Create the Gradio interface with customized style\n","iface = gr.Interface(\n"," fn=travel_planner,\n"," inputs=[\"text\", \"text\"],\n"," outputs=[\"text\", \"image\"],\n"," title=\"Travel Planner AI\",\n"," description=\"Enter your destination and a query related to Japan to get travel tips and an image.\",\n"," allow_flagging=False,\n"," theme=\"compact\",\n"," css=\"\"\"\n"," .gr-input textarea, .gr-output textarea {\n"," background-color: white !important;\n"," color: black !important;\n"," }\n"," .gr-body {\n"," background-color: #FFC0CB; /* Cherry blossom pink */\n"," }\n"," \"\"\"\n",")\n","\n","# Launch the interface\n","iface.launch()\n"]},{"cell_type":"code","source":["import os\n","\n","# Change directory to the desired location\n","os.chdir(\"/content/drive/MyDrive/GenAi/SEE Project/Final\")\n","\n","# Now you are in the desired directory\n","\n","!gradio deploy"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-idUYb9mnFEs","outputId":"92dd58aa-8ca1-4330-82f8-61f23f4153fa"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating new Spaces Repo in \u001b[32m'/content/drive/MyDrive/GenAi/SEE Project/Final'\u001b[0m. Collecting metadata, \n","press Enter to accept default value.\n","Enter Spaces app title [Final]: Travel_AI_Planner\n","Enter Gradio app file : Travel_AI_Guide\n","Enter Spaces hardware (cpu-basic, cpu-upgrade, t4-small, t4-medium, zero-a10g, a10g-small, a10g-large, a10g-largex2, a10g-largex4, a100-large) [cpu-basic]: cpu-basic\n","Any Spaces secrets (y/n) [n]: y\n","Enter secret name (leave blank to end): HF_TOKEN\n","Enter secret value for HF_TOKEN: "]}]}]}