Create app.py

app.py

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+import openai
+import gradio as gr
+import os
+
+#OpenAi call
+def gpt3(texts):
+    openai.api_key = os.environ["Secret"]
+    response = openai.Completion.create(
+      engine="text-davinci-002",
+      prompt= texts,
+          temperature=0,
+          max_tokens=750,
+          top_p=1,
+          frequency_penalty=0.0,
+          presence_penalty=0.0,
+          stop = (";", "/*", "</code>")
+    )
+    x = response.choices[0].text 
+    
+    return x
+
+# Function to elicit sql response from model
+def greet(prompt):
+    food= (f'''Here we will share a best guess for the predominant ingredients in the following food /*Food: {prompt}*/ \n —-Here is a list of the ingredients in the food item:\n''')
+
+    ingred = gpt3(food)
+
+  
+
+    total = (f'''Expert one sentence summary and rating (on a scale of 1/10, with 10 having no impact) of the food and ingredients comparative climate impact, from rationalist climate perspective /*Food, ingredients: {prompt},{ingred}*/ \n —-Impact Summary and Climate Score:\n''')
+    score = gpt3(total) 
+    return score
+
+
+#Code to set up Gradio UI
+iface = gr.Interface(greet, inputs = ["text"], outputs = ["text"],title="Food Impact Analysis", description="Get a climate analysis back from any food!")
+iface.launch()