update

app.py

@@ -1,23 +1,20 @@
 # app.py
 from gpt4all import GPT4All
-from flask import Flask, render_template, request
+import streamlit as st
 
-app = Flask(__name__)
-
-model = GPT4All("wizardlm-13b-v1.1-superhot-8k.ggmlv3.q4_0.bin")
 # Load your machine learning model
-# model = joblib.load("wizardlm-13b-v1.1-superhot-8k.ggmlv3.q4_0.bin")
 
-@app.route("/", methods=["GET", "POST"])
-def index():
-    if request.method == "POST":
-        user_input = request.form["user_input"]
-        # Process the user input using your model
-        output = model.predict([user_input])[0]
+model = GPT4All("wizardlm-13b-v1.1-superhot-8k.ggmlv3.q4_0.bin")
+# model = joblib.load("model/your_model.pkl")
 
-        return render_template("index.html", user_input=user_input, output=output)
+st.title("Machine Learning Web App")
 
-    return render_template("index.html")
+# Input for user's phrase
+user_input = st.text_input("Enter a phrase:")
 
-if __name__ == "__main__":
-    app.run(debug=True)
+if user_input:
+    # Process the user input using your model when the user submits the form
+    if st.button("Submit"):
+        output = model.predict([user_input])[0]
+        st.write("You entered:", user_input)
+        st.write("Model output:", output)