1. curl -fsSL https://ollama.com/install.sh | sh2. ollama pull llama3.1:8b

source ~/miniconda3/bin/activateconda create -n charbot_1 python=3.12

conda activate charbot_1pip install gradio

import requestsimport jsonimport gradio as gr

url = "http://localhost:11434/api/generate"
headers = {'Content-Type': 'application/json'}

conversation_history = []
def generate_response(prompt):conversation_history.append(prompt)
full_prompt = "\n".join(conversation_history)
data = {"model": "llama3.1:8b", "stream": False,"prompt": full_prompt}

response =  requests.post(url, headers=headers, data=json.dumps(data))

if response.status_code == 200:  response_txt = response.text  data = json.loads(response_txt)  actual_response = data["response"]  conversation_history.append(actual_response)  return actual_responseelse:  print("Error:", response.status_code, response.text)

iface = gr.Interface(  fn=generate_response,  inputs=["text"],  outputs=["text"])

if __name__ == "__main__":  iface.launch()

ollama run llama3.1:8B

python3 charbot_1