| from openai import OpenAI |
| import os |
| import gradio as gr |
|
|
| api_key=os.getenv("OPENAI_API_KEY") |
| client = OpenAI(api_key=api_key) |
|
|
| def get_open_ai_output(recipe_titles): |
| response=client.chat.completions.create( |
| model="gpt-3.5-turbo", |
| messages=[{"role": "system", "content": f"""Suggest a recipe title based on the food ingredient {recipe_titles}, |
| then acting as a cookbook give the full recipe for the title suggested, include ingredients and instructions"""}], |
| temperature=0.98, |
| max_tokens = 4000) |
| response = response.choices[0].message.content |
| return response |
|
|
| demo = gr.Interface(fn=get_open_ai_output, |
| inputs=gr.Textbox(label="Ingredient"), |
| outputs=gr.Textbox(label="Recipe", lines=20), |
| title = """ |
| |
| # **<span style="color:#3526A">Something Sweet...</span>** |
| |
| """ , |
| description = "**Generate different recipes from just ONE ingredient!**", allow_flagging="never") |
|
|
| if __name__ == "__main__": |
| demo.launch() |
|
|
