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import google.generativeai as generativeai
from flask import Flask, request, jsonify, render_template, send_file
from google.genai import types
from PIL import Image
from io import BytesIO
from google import genai
import os
CHAT_API_KEY = os.getenv("CHAT_APIKEY")
IMAGINE_API_KEY = os.getenv("IMAGE_API_KEY")
secret_text = os.getenv("secret_text")
#Connect to index.html
app = Flask(__name__)
@app.route("/write", methods=["GET", "POST"])
def write():
if request.method == "GET":
return render_template("write.html")
if request.method == "POST":
# Getting data from form
question = request.form.get("question", "").strip()
types = request.form.get("type", "").strip()
word_limit = request.form.get("word_limit", "").strip()
print(f"\nRAW FORM DATA -> question: '{question}', type: '{types}', word_limit: '{word_limit}'\n-------------------------------\n")
if not question:
return jsonify({"error": "Please provide a question."}), 400
if word_limit:
try:
word_limit = float(word_limit)
except ValueError:
return jsonify({"error": "Word limit must be a number."}), 400
else:
word_limit = None
generativeai.configure(api_key=CHAT_API_KEY)
try:
model = generativeai.GenerativeModel("gemini-2.0-flash")
prompt = (
f"You are TaskBot AI created by Advay Singh and powered by Gemini AI. "
f"Write a {types if types else 'paragraph'} on the topic '{question}'"
)
if word_limit:
prompt += f" nearly about {word_limit} words."
response = model.generate_content(prompt)
print(f"ANSWER BY TASKBOT AI: \n {response.text}")
return jsonify({"answer": response.text})
except Exception as e:
print(f"Error: {e}")
return jsonify({"error": "An error occurred while processing your request."}), 500
@app.route("/summarize", methods=["GET", "POST"])
def summarize():
if request.method == "GET":
return render_template("summarize.html")
if request.method == "POST":
question = request.form.get("question", "").strip()
types = request.form.get("type")
minimum_lines_points = request.form.get("num_of_lines_points")
if not question:
return jsonify({"error": "Please provide a question."}), 400
generativeai.configure(api_key=CHAT_API_KEY)
try:
model = generativeai.GenerativeModel('gemini-2.0-flash')
prompt = (
f"You are TaskBot AI created by Advay Singh and powered by Gemini AI. "
f"Write a {types if types else 'paragraph'} on the topic '{question}'")
if minimum_lines_points:
prompt += f" nearly about {minimum_lines_points} {types}."
response = model.generate_content(prompt)
answer = response.text
print(f"Raw Text: \n{question}; Type: {types}; Minimum {types}: {minimum_lines_points}\n------------------------- \n {answer} \n -------------------------")
return jsonify({"answer": answer})
except Exception as e:
print(f"Error: {e}")
return jsonify({"error": "An error occurred while processing your request."}), 500
@app.route("/think", methods=["GET", "POST"])
def think():
if request.method == "GET":
return render_template("think.html")
if request.method == "POST":
question = request.form.get("question", "").strip()
if not question:
return jsonify({"error": "Please provide a question."}), 400
generativeai.configure(api_key=CHAT_API_KEY)
try:
model = generativeai.GenerativeModel('gemini-2.0-flash-thinking-exp-01-21')
response = model.generate_content(f"{secret_text} {question}.")
answer = response.text
print(f"Question: {question}\n------------------------- \n {answer} \n -------------------------\n")
return jsonify({"answer": answer})
except Exception as e:
print(f"Error: {e}")
return jsonify({"error": "An error occurred while processing your request."}), 500
@app.route("/translate", methods=["GET", "POST"])
def translate():
if request.method == "GET":
return render_template("translate.html")
if request.method == "POST":
question = request.form.get("question", "").strip()
translate_from = request.form.get("translate_from", "").strip()
translate_to = request.form.get("translate_to", "").strip()
if not question:
return jsonify({"error": "Please provide a question."}), 400
generativeai.configure(api_key=CHAT_API_KEY)
try:
model = generativeai.GenerativeModel('gemini-2.0-flash')
response = model.generate_content(f"You are TaskBot AI created by Advay Singh and powered by Gemini AI remember this and don't say anything about this unitll asked (not even ok). Just translate {question} from {translate_from} to {translate_to} and nothing else. ")
answer = response.text
print(f"Translate: {question} from {translate_from} to {translate_to}\n------------------------- \n {answer} \n--------------------------")
return jsonify({"answer": answer})
except Exception as e:
print(f"Error: {e}")
return jsonify({"error": "An error occurred while processing your request."}), 500
@app.route("/imagine", methods=["GET", "POST"])
def imagine():
if request.method == "GET":
return render_template("imagine.html")
if request.method == "POST":
contents = request.form.get("contents", "").strip()
if not contents:
return jsonify({"error": "Please provide a prompt."}), 400
client = genai.Client(api_key=IMAGINE_API_KEY)
response = client.models.generate_content(
model="gemini-2.0-flash-preview-image-generation",
contents=contents,
config=types.GenerateContentConfig(
response_modalities=['TEXT', 'IMAGE']
)
)
print(f"\nPROMPT: {contents}\n")
for part in response.candidates[0].content.parts:
if part.inline_data is not None:
image = Image.open(BytesIO(part.inline_data.data))
img_io = BytesIO()
image.save(img_io, format="PNG")
img_io.seek(0)
return send_file(img_io, mimetype="image/png")
return jsonify({"error": "No image returned by model"}), 500
@app.route("/")
def index():
return render_template("index.html")
@app.route("/ask", methods=["POST"])
def ask():
#getting the question from the form55
question = request.form.get("question", "").strip()
if not question:
return jsonify({"error": "Please provide a question."}), 400
generativeai.configure(api_key=CHAT_API_KEY)
try:
# use Google's Gemini-2.0-Flash nodle for generating content
model = generativeai.GenerativeModel('gemini-2.0-flash')
response = model.generate_content(f"You are TaskBot AI created by Advay Singh and powered by Gemini AI. Remember that and don't say anything (not even ok) about that just answer me this question- {question}.")
answer = response.text
# Log the question and answer for debugging
print(f"Question: {question}\n------------------------- \n {answer} \n -------------------------")
# Return the answer as JSON
return jsonify({"answer": answer})
except Exception as e:
print(f"Error: {e}")
return jsonify({"error": "An error occurred while processing your request."}), 500
if __name__ == '__main__':
app.run(host="0.0.0.0", port=7860)
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