t

app.py

@@ -19,7 +19,19 @@ def get_completion(prompt, model="gpt-3.5-turbo"):
 
 def greet(company, solution, target_customer, problem, features):
     pitch = f"""My company, {company} is developing {solution} to help {target_customer} {problem} with {features}"""
-    return json.dumps(pitch)
+    prompt = f"""
+Determine the product or solution, the problem being solved, features, target customer that are being discussed in the \
+following text, which is delimited by triple backticks. Then, pretend that you are the target customer. \
+State if you would use this product and elaborate on why. Also state if you would pay for it and elaborate on why.\
+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', 'score' as the keys.
+
+Text sample: '''{pitch}'''
+"""
+    response = get_completion(prompt)
+    return json.dumps(response)
 
 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.launch()