Update app.py

app.py

@@ -1,27 +1,28 @@
-import streamlit as st
+from flask import Flask, request, jsonify
 import pandas as pd
-from io import StringIO
 
+app = Flask(__name__)
 
-def main():
-    st.title("CSV File Upload App")
+@app.route("/upload", methods=["POST"])
+def upload_csv():
+    # Check if file is uploaded
+    if "file" not in request.files:
+        return jsonify({"message": "No file uploaded"}), 400
 
-    # File uploader widget
-    uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
+    # Get uploaded file
+    file = request.files["file"]
 
-    if uploaded_file is not None:
-        # To read file as string:
-        stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))
-        string_data = stringio.read()
-
-        # To read file as pandas dataframe:
-        # (Adjust the parameters like `sep`, `header` if necessary)
-        df = pd.read_csv(uploaded_file)
-
-        # Display the dataframe
-        st.write(df)
+    # Read CSV file using pandas
+    try:
+        df = pd.read_csv(file)
+    except Exception as e:
+        return jsonify({"message": "Invalid CSV file"}), 400
 
+    # Use Hugging Face transformer with df here
+    # (your specific code for processing with Hugging Face)
 
+    # Return response
+    return jsonify({"message": "File uploaded and processed", "data": df.to_json()})
 
 if __name__ == "__main__":
-    main()
+    app.run(debug=True)