Delete app.py

app.py

@@ -1,51 +0,0 @@
-import streamlit as st
-import tensorflow as tf
-import tensorflow_hub as hub
-
-
-
-
-new_model = tf.keras.models.load_model("best_model.h5",custom_objects={"KerasLayer": hub.KerasLayer})
-
-
-
-
-
-def welcome():
-    return "Welcome to my app"
-
-
-def main():
-    st.title("Financial News Sentiment Analysis App")
-    st.write(
-        "This app will tell you if mention news is Fake or Real by using Natural Language Processing")
-    html_temp = """
-    <div style="background-color:tomato;padding:10px">
-    <h2 style="color:white;text-align:center;">Financial News Sentiment Analysis </h2>
-    </div>
-    """
-    st.markdown(html_temp, unsafe_allow_html=True)
-
-    text = st.text_input("Enter your Financial News")
-
-
-    if st.button("Predict"):
-        pred_prob = new_model.predict([text])
-        predict = tf.squeeze(tf.round(pred_prob)).numpy()
-        st.subheader("AI thinks that ...")
-
-        if predict > 0:
-
-            st.success(
-                f"It's a Positive News.You can make your investment decision accordingly. Confidence Level is {tf.round(pred_prob, 3)}%",icon="✅")
-        else:
-            st.warning(
-                f"It's a Negative News. Think twice before you take any investment decision. Confidence Level is {tf.round(100 - pred_prob, 3)}%", icon="⚠️")
-
-    if st.button("About"):
-
-        st.text("Built with Streamlit")
-
-
-if __name__ == '__main__':
-    main()