Update app.py

app.py

@@ -53,23 +53,43 @@ def getPrediction(input):
 def getSentiment(idx):
    return {0: "Negative", 1: "Positive", 2: "Neutral"}.get(idx, "Neutral")
        
-# Streamlit UI
-st.title("Sentiment Analysis")
-text = st.text_area("Enter Text...")
+# # Streamlit UI
+# st.title("Sentiment Analysis")
+# text = st.text_area("Enter Text...")
 
-if text:
-    prediction, confidence_score = getPrediction([text])  # Modify if preprocessing is needed
-    # Convert prediction to a human-readable format
-    response = {"prediction": getSentiment(prediction[0]) + " Statement",
-                "confidence": "{:.2f}".format(float(confidence_score[0] * 100)) + "%"}  # Adjust as necessary for output formatting
-    st.json(response)
+# if text:
+#     prediction, confidence_score = getPrediction([text])  # Modify if preprocessing is needed
+#     # Convert prediction to a human-readable format
+#     response = {"prediction": getSentiment(prediction[0]) + " Statement",
+#                 "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.query_params(api_predict=api_predict)
 
-# Add a POST endpoint
-def api_predict(text):
+# Use query parameters to simulate an API call
+query_params = st.experimental_get_query_params()
+text = query_params.get("text", [""])[0]
+
+if text:
     prediction, confidence_score = getPrediction(text)
-    return {
+    st.write({
         "prediction": getSentiment(prediction) + " Statement",
         "confidence": f"{confidence_score * 100:.2f}%"
-    }
-
-st.query_params(api_predict=api_predict)
+    })
+else:
+    # Normal Streamlit app interface
+    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}%"
+        })