Update app.py

app.py

@@ -76,35 +76,3 @@ if text:
                 "confidence": "{:.2f}".format(float(confidence_score[0] * 100)) + "%"}  # Adjust as necessary for output formatting
     st.json(response)
 
-# Add a POST endpoint
-def api_predict(text):
-    prediction, confidence_score = getPrediction(text)
-    return {
-        "prediction": getSentiment(prediction) + " Statement",
-        "confidence": f"{confidence_score * 100:.2f}%"
-    }
-
-st.experimental_set_query_params(api_predict=api_predict)
-
-# # Streamlit UI
-# st.title("Sentiment Analysis")
-
-# # Use st.query_params to get the 'text' parameter from the URL
-# query_text = st.query_params.get("text", [""])[0]  # Accessing 'text' from query params
-
-# if query_text:
-#     # If text is passed in the URL, process it
-#     prediction, confidence_score = getPrediction(query_text)
-#     st.json({
-#         "prediction": getSentiment(prediction) + " Statement",
-#         "confidence": f"{confidence_score * 100:.2f}%"
-#     })
-# else:
-#     # Normal Streamlit app interface for manual text entry
-#     input_text = st.text_area("Enter Text for Sentiment Analysis")
-#     if input_text:
-#         prediction, confidence_score = getPrediction(input_text)
-#         st.json({
-#             "prediction": getSentiment(prediction) + " Statement",
-#             "confidence": f"{confidence_score * 100:.2f}%"
-#         })