Create app.py

app.py

@@ -0,0 +1,54 @@
+from flask import Flask, render_template, request, jsonify
+import pandas as pd
+import matplotlib.pyplot as plt
+import io
+import base64
+
+app = Flask(__name__)
+
+# Global variable to hold the uploaded CSV data
+uploaded_data = None
+
+
+@app.route("/")
+def index():
+    return render_template("index.html")
+
+
+@app.route("/upload", methods=["POST"])
+def upload():
+    global uploaded_data
+    file = request.files["file"]
+    uploaded_data = pd.read_csv(file)
+    return jsonify({"message": "File uploaded successfully"})
+
+
+@app.route("/plot", methods=["GET"])
+def plot():
+    global uploaded_data
+    if uploaded_data is None:
+        return jsonify({"error": "No data uploaded"})
+
+    plt.figure()
+    uploaded_data.plot(kind="bar")
+    img = io.BytesIO()
+    plt.savefig(img, format="png")
+    img.seek(0)
+    plot_url = base64.b64encode(img.getvalue()).decode()
+    return jsonify({"plot_url": plot_url})
+
+
+@app.route("/ask", methods=["POST"])
+def ask():
+    global uploaded_data
+    question = request.json.get("question")
+    if uploaded_data is None:
+        return jsonify({"answer": "No data uploaded"})
+    # Implement a simple query or analysis
+    if question.lower() == "show summary":
+        return jsonify({"answer": uploaded_data.describe().to_html()})
+    return jsonify({"answer": "Question not understood"})
+
+
+if __name__ == "__main__":
+    app.run(debug=True)