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{
"cells": [
{
"cell_type": "raw",
"metadata": {},
"source": [
"---\n",
"description: Gradio app.py\n",
"output-file: app.html\n",
"title: app\n",
"\n",
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": null,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#| eval: false\n",
"load_dotenv()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[GPT4 streaming output example on hugging face 🤗](https://huggingface.co/spaces/ysharma/ChatGPT4/blob/main/app.pyhttps://huggingface.co/spaces/ysharma/ChatGPT4/blob/main/app.py) \n",
"[Gradio lite let's you insert Gradio app in browser JS](https://www.gradio.app/guides/gradio-litehttps://www.gradio.app/guides/gradio-lite) \n",
"[Streaming output](https://www.gradio.app/main/guides/streaming-outputshttps://www.gradio.app/main/guides/streaming-outputs)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [],
"source": [
"#| eval: false\n",
"client = OpenAI()\n",
"assistant = client.beta.assistants.create(\n",
" name=\"Vegan Recipe Finder\",\n",
" instructions=SYSTEM_PROMPT,\n",
" # + \"\\nChoose the best single matching recipe to the user's query out of the vegan recipe search returned recipes\",\n",
" model=\"gpt-4o\",\n",
" tools=[VEGAN_RECIPE_SEARCH_TOOL_SCHEMA],\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [],
"source": [
"class EventHandler(AssistantEventHandler):\n",
" @override\n",
" def on_event(self, event):\n",
" # Retrieve events that are denoted with 'requires_action'\n",
" # since these will have our tool_calls\n",
" if event.event == \"thread.run.requires_action\":\n",
" run_id = event.data.id # Retrieve the run ID from the event data\n",
" self.handle_requires_action(event.data, run_id)\n",
"\n",
" def handle_requires_action(self, data, run_id):\n",
" tool_outputs = []\n",
" for tool_call in data.required_action.submit_tool_outputs.tool_calls:\n",
" if tool_call.function.name == \"vegan_recipe_edamam_search\":\n",
" fn_args = json.loads(tool_call.function.arguments)\n",
" data = vegan_recipe_edamam_search(\n",
" query=fn_args.get(\"query\"),\n",
" )\n",
" tool_outputs.append({\"tool_call_id\": tool_call.id, \"output\": data})\n",
"\n",
" self.submit_tool_outputs(tool_outputs, run_id)\n",
"\n",
" def submit_tool_outputs(self, tool_outputs, run_id):\n",
" client.beta.threads.runs.submit_tool_outputs_stream(\n",
" thread_id=self.current_run.thread_id,\n",
" run_id=self.current_run.id,\n",
" tool_outputs=tool_outputs,\n",
" event_handler=EventHandler(),\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"---\n",
"\n",
"[source](https://gitlab.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L22){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
"\n",
"### handle_requires_action\n",
"\n",
"> handle_requires_action (data)"
],
"text/plain": [
"---\n",
"\n",
"[source](https://gitlab.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L22){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
"\n",
"### handle_requires_action\n",
"\n",
"> handle_requires_action (data)"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#| echo: false\n",
"#| output: asis\n",
"show_doc(handle_requires_action)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [],
"source": [
"def run_conversation() -> str:\n",
" run = client.beta.threads.runs.create_and_poll(\n",
" thread_id=thread.id,\n",
" assistant_id=assistant.id,\n",
" )\n",
" while True:\n",
" tool_outputs = []\n",
" tool_calls = (\n",
" []\n",
" if not run.required_action\n",
" else run.required_action.submit_tool_outputs.tool_calls\n",
" )\n",
"\n",
" for tool_call in tool_calls:\n",
" if tool_call.function.name == \"vegan_recipe_edamam_search\":\n",
" fn_args = json.loads(tool_call.function.arguments)\n",
" data = vegan_recipe_edamam_search(\n",
" query=fn_args.get(\"query\"),\n",
" )\n",
" tool_outputs.append({\"tool_call_id\": tool_call.id, \"output\": data})\n",
"\n",
" if tool_outputs:\n",
" try:\n",
" run = client.beta.threads.runs.submit_tool_outputs_and_poll(\n",
" thread_id=thread.id,\n",
" run_id=run.id,\n",
" tool_outputs=tool_outputs,\n",
" )\n",
" print(\"Tool outputs submitted successfully.\")\n",
"\n",
" except Exception as e:\n",
" print(\"Failed to submit tool outputs:\", e)\n",
" return \"Sorry failed to run tools. Try again with a different query.\"\n",
"\n",
" if run.status == \"completed\":\n",
" messages = client.beta.threads.messages.list(thread_id=thread.id)\n",
" data = messages.data\n",
" content = data[0].content\n",
" return content[0].text.value\n",
" time.sleep(0.05)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"---\n",
"\n",
"[source](https://gitlab.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L34){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
"\n",
"### run_convo_stream\n",
"\n",
"> run_convo_stream (thread, content:str, client:openai.OpenAI, assistant)"
],
"text/plain": [
"---\n",
"\n",
"[source](https://gitlab.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L34){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
"\n",
"### run_convo_stream\n",
"\n",
"> run_convo_stream (thread, content:str, client:openai.OpenAI, assistant)"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#| echo: false\n",
"#| output: asis\n",
"show_doc(run_convo_stream)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"skip\n"
]
}
],
"source": [
"thread = client.beta.threads.create()\n",
"\n",
"test_msgs = [\n",
" \"Hello\",\n",
" \"What can I make with tempeh, whole wheat bread, and lettuce?\",\n",
"]\n",
"for m in test_msgs:\n",
" for txt in run_convo_stream(thread, m, client, assistant):\n",
" print(txt, end=\"\")\n",
" print()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"---\n",
"\n",
"[source](https://gitlab.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L62){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
"\n",
"### predict\n",
"\n",
"> predict (message, history, client:openai.OpenAI, assistant, thread)"
],
"text/plain": [
"---\n",
"\n",
"[source](https://gitlab.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L62){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
"\n",
"### predict\n",
"\n",
"> predict (message, history, client:openai.OpenAI, assistant, thread)"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#| echo: false\n",
"#| output: asis\n",
"show_doc(predict)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"---\n",
"\n",
"[source](https://gitlab.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L102){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
"\n",
"### create_demo\n",
"\n",
"> create_demo (client:openai.OpenAI, assistant)"
],
"text/plain": [
"---\n",
"\n",
"[source](https://gitlab.com/animalequality/lv-recipe-chatbot/blob/main/lv_recipe_chatbot/app.py#L102){target=\"_blank\" style=\"float:right; font-size:smaller\"}\n",
"\n",
"### create_demo\n",
"\n",
"> create_demo (client:openai.OpenAI, assistant)"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#| echo: false\n",
"#| output: asis\n",
"show_doc(create_demo)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"language": "python"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"skip\n"
]
}
],
"source": [
"if \"demo\" in globals():\n",
" demo.close()\n",
"\n",
"demo = create_demo(client, assistant)\n",
"demo.launch()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "local-lv-chatbot",
"language": "python",
"name": "local-lv-chatbot"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 4
}
|