app.py

from flask import Flask, render_template, request
import google.generativeai as genai
import os
import textblob

# Configure API key
api = os.getenv("MAKERSUITE_API_TOKEN") 
genai.configure(api_key=api)

# Load the model
model = genai.GenerativeModel("gemini-1.5-flash")

app = Flask(__name__)

@app.route("/", methods=["GET", "POST"])
def index():
    return render_template("index.html")

@app.route("/financial_QA", methods=["GET", "POST"])
def financial_QA():
    return render_template("financial_QA.html")

@app.route("/financial_news", methods=["GET", "POST"])
def financial_news():
    return render_template("financial_news.html")

@app.route("/makersuite", methods=["GET", "POST"])
def makersuite():
    q = request.form.get("q")
    r = model.generate_content(q)  
    return render_template("makersuite.html", r=r.text)

@app.route("/sentiment_analysis", methods=["GET", "POST"])
def sentiment_analysis():
    return render_template("sentiment_analysis.html")

@app.route("/transfer_money", methods=["GET", "POST"])
def transfer_money():
    return render_template("transfer_money.html")

@app.route("/sentiment_analysis_result", methods=["GET", "POST"])
def sentiment_analysis_result():
    q = request.form.get("q")
    r = textblob.TextBlob(q).sentiment
    return render_template("sentiment_analysis_result.html", r=r)

if __name__ == "__main__":
    app.run()