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from flask import Flask, request, jsonify
from twilio.twiml.messaging_response import MessagingResponse
from huggingface_hub import InferenceClient
app = Flask(__name__)
print("\nHello welcome to Sema AI\n", flush=True)
# Initialize InferenceClient
client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.1")
conversation_history = {}
def format_prompt(message, history):
prompt = "<s>"
for user_prompt, bot_response in history:
prompt += f"[INST] {user_prompt} [/INST]"
prompt += f" {bot_response}</s> "
prompt += f"[INST] {message} [/INST]"
return prompt
def generate(prompt, history, temperature=0.9, max_new_tokens=100, top_p=0.95, repetition_penalty=1.0):
formatted_prompt = format_prompt(prompt, history)
generate_kwargs = dict(
temperature=temperature,
max_new_tokens=max_new_tokens,
top_p=top_p,
repetition_penalty=repetition_penalty,
do_sample=True,
seed=42,
)
response = client.text_generation(
formatted_prompt,
**generate_kwargs,
stream=True,
details=True,
return_full_text=False
)
output = ""
for token in response:
if hasattr(token, 'token') and hasattr(token.token, 'text'):
output += token.token.text
return output
@app.route("/sms", methods=['GET', 'POST'])
def sms():
try:
resp = MessagingResponse()
sender_number = request.form['From']
inb_msg = request.form['Body'].strip()
print(inb_msg, flush=True)
history = conversation_history.get(sender_number, [])
output = generate(inb_msg, history)
history.append((inb_msg, output))
conversation_history[sender_number] = history
resp.message(output)
except Exception as e:
print(f"Error processing SMS: {str(e)}")
resp.message("Sorry, an error occurred. Please try again later.")
return str(resp)
if __name__ == "__main__":
app.run(debug=True, port=5000)
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