Create app.py

app.py

@@ -0,0 +1,35 @@
+from flask import Flask, request
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from gtts import gTTS
+from twilio.twiml.messaging_response import MessagingResponse
+import torch
+
+app = Flask(__name__)
+
+model_id = "sarvamai/sarvam-m"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", load_in_4bit=True)
+
+@app.route("/")
+def home():
+    return "Sarvam WhatsApp Malayalam Chatbot is running!"
+
+@app.route("/whatsapp", methods=["POST"])
+def whatsapp():
+    msg = request.form.get('Body')
+    sender = request.form.get('From')
+
+    inputs = tokenizer(msg, return_tensors="pt").to(model.device)
+    outputs = model.generate(**inputs, max_new_tokens=100)
+    reply = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+    # Convert reply to Malayalam speech (optional audio hosting needed)
+    tts = gTTS(reply, lang="ml")
+    tts.save("reply.mp3")
+
+    resp = MessagingResponse()
+    resp.message(reply)
+    return str(resp)
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860)