Text Genereration script for chatbot

pages/Text Generation.py

@@ -1,25 +1,41 @@
 import streamlit as st
-from streamlit_mic_recorder import mic_recorder,speech_to_text
+from PIL import Image
+import streamlit as st
+from transformers import pipeline
+import pandas as pd
+import plotly.express as px
+import matplotlib.pyplot as plt
+from pathlib import Path
+import base64
+from st_pages import Page, add_page_title, show_pages
+from streamlit_extras.badges import badge
+import transformers
+
+
+
+
+model_name = 'Intel/neural-chat-7b-v3-1'
+model = transformers.AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
 
-state=st.session_state
+def generate_response(system_input, user_input):
 
-if 'text_received' not in state:
-    state.text_received=[]
+    # Format the input using the provided template
+    prompt = f"### System:\n{system_input}\n### User:\n{user_input}\n### Assistant:\n"
 
-c1,c2=st.columns(2)
-with c1:
-    st.write("Convert speech to text:")
-with c2:
-    text=speech_to_text(language='en',use_container_width=True,just_once=True,key='STT')
+    # Tokenize and encode the prompt
+    inputs = tokenizer.encode(prompt, return_tensors="pt", add_special_tokens=False)
 
-if text:       
-    state.text_received.append(text)
+    # Generate a response
+    outputs = model.generate(inputs, max_length=1000, num_return_sequences=1)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
 
-for text in state.text_received:
-    st.text(text)
+    # Extract only the assistant's response
+    return response.split("### Assistant:\n")[-1]
 
-st.write("Record your voice, and play the recorded audio:")
-audio=mic_recorder(start_prompt="⏺️",stop_prompt="⏹️",key='recorder')
 
-if audio:       
-    st.audio(audio['bytes'])
+# Example usage
+system_input = "You are a employee in the customer succes department of a company called Retraced that works in sustainability and traceability"
+prompt = st.text_input(str("Insert here you prompt?"))
+response = generate_response(system_input, prompt)
+st.write(response)