From 684e27fa726e3f79bad3539589b95b17d3871396 Mon Sep 17 00:00:00 2001
From: Sudarraja001 <119469208+Sudarraja001@users.noreply.github.com>
Date: Wed, 7 Feb 2024 10:56:56 +0530
Subject: [PATCH] Create BOT_API.py

---
 BOT_API.py | 49 +++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 49 insertions(+)
 create mode 100644 BOT_API.py

diff --git a/BOT_API.py b/BOT_API.py
new file mode 100644
index 0000000..e0fe980
--- /dev/null
+++ b/BOT_API.py
@@ -0,0 +1,49 @@
+from flask import Flask, request
+import openai
+from twilio.twiml.messaging_response import MessagingResponse
+import os
+
+# Init the Flask App
+app = Flask(__name__)
+
+# Initialize the OpenAI API key
+# export OPENAI_API_KEY=YOUR API KEY
+openai.api_key = os.environ.get("OPENAI_API_KEY")
+
+
+# Define a function to generate answers using GPT-3
+def generate_answer(question):
+    model_engine = "text-davinci-002"
+    prompt = (f"Q: {question}\n"
+              "A:")
+
+    response = openai.Completion.create(
+        engine=model_engine,
+        prompt=prompt,
+        max_tokens=1024,
+        n=1,
+        stop=None,
+        temperature=0.7,
+    )
+
+    answer = response.choices[0].text.strip()
+    return answer
+
+
+# Define a route to handle incoming requests
+@app.route('/chatgpt', methods=['POST'])
+def chatgpt():
+    incoming_que = request.values.get('Body', '').lower()
+    print("Question: ", incoming_que)
+    # Generate the answer using GPT-3
+    answer = generate_answer(incoming_que)
+    print("BOT Answer: ", answer)
+    bot_resp = MessagingResponse()
+    msg = bot_resp.message()
+    msg.body(answer)
+    return str(bot_resp)
+
+
+# Run the Flask app
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', debug=False, port=5000)