Update app.py

app.py

@@ -27,20 +27,33 @@ def create_assistant_json(uploaded_file, assistant_name,  assistant_message):
     
     return assistant.id
 
+def generate_response(prompt):
+    instruction = "Please generate a cocktail recipe based on the user's mood description.\n\n"
+    prompt = instruction + prompt
+    try:
+        response = openai.Completion.create(
+            engine="davinci",
+            prompt=prompt,
+            max_tokens=150
+        )
+        return response.choices[0].text.strip()
+    except Exception as e:
+        return str(e)
+
 # Creating the Gradio interface
 with gr.Blocks(css=".gradio-container {background: url(https://static.vecteezy.com/system/resources/thumbnails/030/814/051/small/wooden-table-and-blur-tropical-green-grass-background-product-display-montage-high-quality-8k-fhd-ai-generated-photo.jpg)}") as demo:
     gr.Markdown("## To create an OpenAI Assistant please fill in the following sections. Upload a file to give the Assistant knowledge and a focus on something outside of it's normal training. Then add an assistant name and message. The Assistant message should guide the model into in a role. An example would be, You are a helpful Asssitant who is knowledgable in the field of...")
     gr.Markdown("## After creating the ID head to [OpenAI_Assistant_Chat](https://huggingface.co/spaces/jadend/OpenAI_Assistant_Chat).")
     with gr.Row():
-        file_input = gr.File(label="Upload your file", type="filepath")
-        assistant_name = gr.Textbox(label="The Assistant's Name")
-        assistant_message = gr.Textbox(label="Assistant Message")
-    generate_button = gr.Button("Generate Your Assistant ID") 
-    output_id = gr.Textbox(label="Your Asssistant ID", value="")
+        # file_input = gr.File(label="Upload your file", type="filepath")
+        description = gr.Textbox(label="The User Input")
+        # chatbot = gr.Textbox(label="Chatbot Response")
+    generate_button = gr.Button("Generate Your Cocktail Recipe") 
+    output_id = gr.Textbox(label="Your Cocktail Recipe", value="")
     
     generate_button.click(
-        fn=create_assistant_json,
-        inputs=[file_input, assistant_name, assistant_message],
+        fn=generate_response,
+        inputs=description,
         outputs=output_id
     )