Upload app.py

A recipe builder app

app.py

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+import pickle
+import openai
+#from flask import redirect, render_template, request, url_for
+import gradio as gr
+
+# with   open("apikey.pkl", "rb") as f:
+#     apikey  = pickle.load(f)
+# print(apikey)
+
+def get_open_ai_output(recipe_titles):
+    with open("apikey.pkl", "rb") as f:
+        apikey  = pickle.load(f)
+        openai.api_key = apikey
+        response = openai.Completion.create(
+            model="text-davinci-003",
+            prompt=generate_prompt(recipe_titles),
+            temperature=0.98,
+            max_tokens = 4000
+            )
+        response = response.choices[0].text
+    return response
+
+
+
+def generate_prompt(recipe_titles):
+    return """Suggest a recipe title based on the food item inputted, then acting as a cookbook give the full recipe for the title suggested, include ingredients and instructions
+
+Example:
+
+Food: {}
+Titles:""".format(
+        recipe_titles.capitalize()
+    )
+    
+#@app.route("/", methods=("GET", "POST"))
+# def index():
+#     if request.method == "POST":
+#         recipe_titles = request.form["recipe_titles"]
+#         response = openai.Completion.create(
+#             model="text-davinci-003",
+#             prompt=generate_prompt(recipe_titles),
+#             temperature=0.98,
+#             max_tokens = 4000
+#         )
+#         return redirect(url_for("index", result=response.choices[0].text))
+
+#     result = request.args.get("result")
+#     return render_template("index.html", result=result)
+
+#io1 = gr.Interface.load("huggingface/openai-gpt")
+
+#io2 = gr.Interface.load("huggingface/CoffeeAddict93/gpt1-modest-proposal")
+
+def inference(recipe_titles):
+        output = get_open_ai_output(recipe_titles)
+        return output
+input = gr.Textbox(label="Food Ingredient",max_lines=1, placeholder = "Enter ONE food ingredient here")
+output = gr.Textbox(label="Recipe")
+
+with gr.Blocks(css = ".gradio-container {background-color: #E7ECF3}") as demo:
+
+    gr.Interface(
+        inference,
+        input,output,title = """
+                
+                     # **<span style="color:#3526A">Something Sweet...</span>**
+                
+                    """ , 
+                    description = "**Generate different recipes from just ONE ingredient!**", allow_flagging="never")
+    gr.Examples(
+        [["Milk"], ["Butter"]],
+        input, output,
+        inference,
+        cache_examples= False)
+demo.launch(enable_queue=True)
+
+