Try!!!

app.py

@@ -90,8 +90,8 @@ def get_completion(prompt):
     return score_model(model_uri, databricks_token, prompt)
 #def get_completion(prompt):
 
-def greet(company, solution, target_customer, problem, features):
-	customer_persona = target_customer
+def greet(company, solution, target_customer, problem, features, target_audience_persona="the target customer"):
+	customer_persona = target_audience_persona
 	pitch = f"""My company, {company} is developing {solution} to help {target_customer} {problem} with {features}"""
 	input = pitch
 
@@ -124,5 +124,5 @@ Give a score for the product. Format your response as a JSON object with \
 	gen_text = response["predictions"][0]["generated_text"]
 	return json.dumps(extract_json(gen_text, 3))
 
-iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Company"), gr.Textbox(label="Solution"), gr.Textbox(label="Customer"), gr.Textbox(label="Problem"), gr.Textbox(label="Feature")], outputs="json")
+iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Company"), gr.Textbox(label="Solution"), gr.Textbox(label="Customer"), gr.Textbox(label="Problem"), gr.Textbox(label="Feature"), gr.Textbox(label="Target Audience persona", lines=3)], outputs="json")
 iface.launch()