from huggingface_hub import InferenceClient import gradio as gr import json from datetime import datetime import os from google_auth_oauthlib.flow import InstalledAppFlow from googleapiclient.discovery import build from google.oauth2 import service_account from googleapiclient.http import MediaFileUpload from pathlib import Path import argparse from huggingface_hub import snapshot_download import random import string #TODO : Cleanup and comment repo_name = 'TheBloke/OpenHermes-2.5-Mistral-7B-GGUF' model_file = "openhermes-2.5-mistral-7b.Q4_K_M.gguf" print('Fetching model:', repo_name, model_file) snapshot_download(repo_id=repo_name, local_dir=".", allow_patterns=model_file) print('Done fetching model:') DEFAULT_MODEL_PATH = model_file chat_history = [] chat_log_history = [] isFirstRun = True dir_path = os.path.dirname(os.path.realpath(__file__)) directory = '/home/user/app' if not os.path.exists(directory): print("directory dont exist") else: print("path exists") file_path = '/home/user/app/test.txt' with open(file_path, 'w') as file: # Write "Hello World" to the file file.write("Hello World") print("file written") print(dir_path) SCOPES = ['https://www.googleapis.com/auth/drive'] SERVICE_ACCOUNT_FILE = '/home/user/app/service_account_creds.json' #initContext = "You are a hospital patient nameed Barry Lawson. You have an injured arm and are in great pain. You are frustrated because you have been waiting for a long time. Every time I prompt you you get more agressive and violent in your responses. Your responses should use excessive profanity. You will provide only one response to each of my prompts. I am a nurse and you are angry at me. Nurse: " initContext = """<|im_start|>You are playing the role of an aggressive patient called Barry Lawson. Barry has been waiting for hours at the hospital with severe pain in his chest and hasn't been seen yet. You are incredibly frustrated and angry that things are taking so long, you will only calm down if your concerns are addressed. Waiting will only make you more angry and aggressive towards the staff. At any moment you could break into a RAGE! Make sure you don't censor swear words. Make sure to explain your emotional state and thinking before responding, for example, Barry: (tired of waiting and very angry) What the fuck do I have to do around here to get some treatment!""" context = "" timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S") folder_id = '1Hjbu7FmuVs0Yz8y_veo6SzY_2tc48OWt' Name = "" Occupation = "" Ethnicity = "" Gender = "" Age="" YearsOfExp = "" chat_log_name ="" status = "" agreed = "" from llama_cpp import Llama llm = Llama(model_path=model_file, model_type="mistral",n_gpu_layers=-1,n_ctx = 2048) def load_model(): global llm llm = Llama(model_path=model_file, model_type="mistral",n_gpu_layers=-1,n_ctx = 2048) return "Model loaded" def generate_unique_id(): # Generate a random sequence of 3 letters and 3 digits letters = ''.join(random.choices(string.ascii_letters, k=3)) digits = ''.join(random.choices(string.digits, k=3)) unique_id = letters + digits return unique_id unique_id = generate_unique_id() def get_drive_service(): credentials = service_account.Credentials.from_service_account_file( SERVICE_ACCOUNT_FILE, scopes=SCOPES) service = build('drive', 'v3', credentials=credentials) print("Google Service Created") return service service = get_drive_service() def search_file(): #Search for a file by name in the specified Google Drive folder. query = f"name = '{chat_log_name}' and '{folder_id}' in parents and trashed = false" response = service.files().list(q=query, spaces='drive', fields='files(id, name)').execute() files = response.get('files', []) if not files: print(f"Chat log {chat_log_name} does not exist") else: print(f"Chat log {chat_log_name} exist") return files def strip_special_tokens(text): # List of special tokens to be removed special_tokens = ["", "", "[INST]", "[/INST]"] # Iterate over the list of special tokens and replace each with an empty string for token in special_tokens: text = text.replace(token, "") return text def upload_to_google_drive(): existing_files = search_file() print(existing_files) data = { #"name": Name, #"occupation": Occupation, #"years of experience": YearsOfExp, #"ethnicity": Ethnicity, #"gender": Gender, #"age": Age, "Unique ID": unique_id, "chat_history": chat_log_history } with open(chat_log_name, "w") as log_file: json.dump(data, log_file, indent=4) if not existing_files: # If the file does not exist, upload it file_metadata = { 'name': chat_log_name, 'parents': [folder_id],'mimeType': 'application/json' } media = MediaFileUpload(chat_log_name, mimetype='application/json') file = service.files().create(body=file_metadata, media_body=media, fields='id').execute() print(f"Uploaded new file with ID: {file.get('id')}") else: print(f"File '{chat_log_name}' already exists.") # Example: Update the file content file_id = existing_files[0]['id'] media = MediaFileUpload(chat_log_name, mimetype='application/json') updated_file = service.files().update(fileId=file_id, media_body=media).execute() print(f"Updated existing file with ID: {updated_file.get('id')}") def generate(prompt, history): global isFirstRun,initContext,Name,Occupation,Ethnicity,Gender,Age,context,YearsOfExp #if not len(Name) == 0 and not len(Occupation) == 0 and not len(Ethnicity) == 0 and not len(Gender) == 0 and not len(Age) == 0 and not len(YearsOfExp): if agreed: firstmsg ="" if isFirstRun: context = initContext isFirstRun = False firstmsg = prompt context += """ <|im_start|>nurse Nurse:"""+prompt+""" <|im_start|>barry Barry: """ response = "" history2 = [] while(len(response) < 1): output = llm(context, max_tokens=400, stop=["Nurse:"], echo=False) response = output["choices"][0]["text"] response = response.strip() yield response # for output in llm(input, stream=True, max_tokens=100, ): # piece = output['choices'][0]['text'] # response += piece # chatbot[-1] = (chatbot[-1][0], response) # yield response history.append((prompt,response)) if not isFirstRun: chat_log_history.append({"user": prompt, "bot": response}) upload_to_google_drive() else: chat_log_history.append({"user": firstmsg, "bot": reponse}) context += response print (context) yield [("User", prompt), ("Barry", response)] else: output = "Did you forget to enter your Details? Please go to the User Info Tab and Input your data. " yield output def submit_user_info(name,occupation,yearsofexp,ethnicity,gender,age): global Name, Occupation,Ethnicity,Gender,Age,chat_log_name,YearsOfExp print(reset_button) Name = name Occupation = occupation Ethnicity=ethnicity Gender=gender Age=age YearsOfExp = yearsofexp if name and occupation and ethnicity and gender and age and yearsofexp: chat_log_name = f'chat_log_for_{unique_id}_{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}.json' return f"You can start chatting now {Name}" else: return "Enter ALL the details to start chatting" def start_chat_button_fn(agree_status): if agree_status: agreed = agree_status chat_log_name = f'chat_log_for_{unique_id}_{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}.json' return f"You can start chatting now" else: return "You must agree to the terms and conditions to proceed" def reset_chat_interface(): global chat_history, chat_log_history, isFirstRun chat_history = [] chat_log_history = [] isFirstRun = True return "Chat has been reset." def reset_name_interface(): global Name, Occupation, Ethnicity, Gender, Age,YearsOfExp, chat_log_name Name = "" Occupation = "" YearsOfExp = "" Ethnicity = "" Gender = "" Age = "" chat_log_name = "" return "User info has been reset." def reset_all(): global unique_id message1 = reset_chat_interface() #message2 = reset_name_interface() message3 = load_model() unique_id = generate_unique_id() return f"All Chat components have been rest. Uniqe ID for this session is, {unique_id}. Please note this down.",unique_id with gr.Blocks() as app: gr.Markdown("# ECU-IVADE: Enhanced Conversational UI for Virtual Assistance and Dialogue Engagement") unique_id_display = gr.Textbox(value=unique_id, label="Session Unique ID", interactive=False,show_copy_button = True) with gr.Tab("User Info"): #name = gr.Textbox(label="Name") #occupation = gr.Textbox(label="Occupation") #yearsofexp = gr.Textbox(label="Years of Experience") #ethnicity = gr.Textbox(label="Ethnicity") #gender = gr.Dropdown(choices=["Male", "Female", "Other", "Prefer Not To Say"], label="Gender") #age = gr.Textbox(label="Age") #submit_info = gr.Button("Submit") gr.Markdown("## Terms and Conditions") gr.Markdown(""" Before using our chatbot, please read the following terms and conditions carefully: - **Data Collection**: Our chatbot collects chat logs for the purpose of improving our services and user experience. - **Privacy**: We ensure the confidentiality and security of your data, in line with our privacy policy. - **Survey**: At the end of the chat session, you will be asked to participate in a short survey to gather feedback about your experience. - **Consent**: By checking the box below and initiating the chat, you agree to these terms and the collection of chat logs, and consent to take part in the survey upon completing your session. Please check the box below to acknowledge your agreement and proceed. """) start_chat_button = gr.Button("Start Chat with Chatlog") agree_status = gr.Checkbox(label="I have read and understand the terms and conditions.") status_textbox = gr.Textbox(interactive = False) print(agree_status) #submit_info.click(submit_user_info, inputs=[name, occupation, yearsofexp, ethnicity, gender, age], outputs=[status_textbox]) start_chat_button.click(start_chat_button_fn, inputs=[agree_status], outputs=[status_textbox]) with gr.Tab("Chat Bot"): chatbot = gr.Chatbot() msg = gr.Textbox(label="Type your message") send = gr.Button("Send") clear = gr.Button("Clear Chat") send.click(generate, inputs=[msg], outputs=chatbot) clear.click(lambda: chatbot.clear(), inputs=[], outputs=chatbot) with gr.Tab("Reset"): reset_button = gr.Button("Reset ChatBot Instance") reset_output = gr.Textbox(label="Reset Output", interactive=False) reset_button.click(reset_all, inputs=[], outputs=[reset_output,unique_id_display]) if __name__ == "__main__": app.launch(debug=True)