Update app.py

app.py

@@ -15,13 +15,12 @@ import asyncio
 
 os.environ["OPENAI_API_KEY"] = "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"
 
-app = Flask(__name__)
 
 nlp = spacy.load('spacy_model')
 sentiment_pipeline = pipeline("sentiment-analysis", model='my_sentiment_model')
 classifier = pipeline(task="zero-shot-classification", model="my_zero_shot")
 
-product_url = 'https://www.amazon.co.uk/product-reviews/B0B21DW5DL/ref=cm_cr_arp_d_viewopt_sr?ie=UTF8&reviewerType=all_review'
+
 custom_headers = {
     # Eliminating non-english reviews
     "Accept-language": "en;q=1.0",
@@ -233,7 +232,6 @@ Feel free to put many feed lines
    """
   llm = OpenAI(temperature = temperature, max_tokens = 1000)
   generated_text = llm(text)
-  #return generated_text.strip().replace('\n',' ')
   return generated_text.strip()
 
 
@@ -256,11 +254,11 @@ def get_reviews(url):
 
 #print(get_reviews(url))
 
-if __name__ == '__main__':
-    asyncio.set_event_loop(asyncio.new_event_loop())
-    interface = gr.Interface(fn=get_reviews, inputs=gr.Textbox(), outputs=[gr.Textbox(label = 'Real ratings'),gr.Textbox(label = 'Actionable insights')], title='The Topic Magnet',
-                             description='Enter the url of your Amazon reviews to get real ratings and valuable insights')
-    interface.launch()
+
+asyncio.set_event_loop(asyncio.new_event_loop())
+interface = gr.Interface(fn=get_reviews, inputs=gr.Textbox(), outputs=[gr.Textbox(label = 'Real ratings'),gr.Textbox(label = 'Actionable insights')], title='The Topic Magnet',
+            description='Enter the url of your Amazon reviews to get real ratings and valuable insights')
+interface.launch()
     #app.run(host = '0.0.0.0', debug = True, port = 5000)