prompt_template

app.py

@@ -45,7 +45,32 @@ Format your response as a JSON object with \
 
 Text sample: '''{input}'''
 	"""
-	response = get_completion(prompt)
+
+	sys_msg="You are demanding customer."
+
+	instruction = """\\n\
+Determine the product or solution, the problem being solved, features, target customer that are being discussed in the \
+following user prompt. State if you would use this product and elaborate on why. Also state if you would pay for it and elaborate on why.\
+Finally, state if you would invest in it and elaborate on why.\\n\
+\\n\
+Give a score for the product. Format your response as a JSON object with \
+'solution', 'problem', 'features', 'target_customer', 'fg_will_use', 'reason_to_use', 'fg_will_pay', 'reason_to_pay', 'fg_will_invest', 'reason_to_invest', 'score' as the keys.\\n\
+	"""
+
+	prompt_template = f"""\\n\
+Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\\n\
+\\n\
+### Instruction:\\n\
+{sys_msg}\\n\
+{instruction}\\n\
+\\n\
+### Input:\\n\
+{input}\\n\
+\\n\
+### Response:\\n\
+	"""
+
+	response = get_completion(prompt_template)
 	return json.dumps(response)
 
 #iface = gr.Interface(fn=greet, inputs="text", outputs="text")