Upload 2 files

index.py

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+import datetime
+import threading
+import time
+
+from dotenv import load_dotenv
+from langchain_ollama import ChatOllama
+from langchain_core.prompts import ChatPromptTemplate
+import gradio as gr
+import os
+from gtts import gTTS
+import io
+import pygame
+
+load_dotenv()
+groq_api_key = os.environ.get("GROQ_API_KEY")
+llm = ChatGroq(
+    model="mixtral-8x7b-32768",  
+    temperature=0.7,
+    api_key=groq_api_key,
+    verbose = False
+)
+
+prompt = ChatPromptTemplate.from_messages(
+    [
+        ("system", "You are an intelligent AI assistant. Answer the questions as accurately as possible."),
+        ("human", "{input}")
+    ]
+)
+
+chain = prompt | llm
+
+convo_history = []
+audio_playing = False
+
+def stop_audio():
+    global audio_playing
+    if audio_playing:
+        pygame.mixer.music.stop()
+        audio_playing = False
+
+def play_tts(text):
+    global audio_playing
+    audio_playing = True
+
+    def speak_async():
+        global audio_playing
+        pygame.mixer.init()
+        fp = io.BytesIO()
+        gTTS(text).write_to_fp(fp)
+        fp.seek(0)
+        pygame.mixer.music.load(fp)
+        pygame.mixer.music.play()
+        while pygame.mixer.music.get_busy():
+            pygame.time.Clock().tick(10)
+        audio_playing = False
+        pygame.mixer.quit()
+
+    thread = threading.Thread(target=speak_async)
+    thread.start()
+
+def ChatBot(text):
+
+    global convo_history, audio_playing
+
+    stop_audio()
+
+    convo_history.append(f"Human: {text}")
+
+    full_context = "\n".join(convo_history)
+    response = chain.invoke({"input": full_context}).content
+
+    convo_history.append(f"AI: {response}")
+
+    print("\n".join(convo_history))
+
+    play_tts(response)
+
+    return "\n".join(convo_history)
+
+
+demo = gr.Interface(
+    fn=ChatBot,
+    inputs="text",
+    outputs="text",
+    title="AudioBOT",
+    description="Ask any question to the AI. It remembers the context of the conversation and speaks its response.",
+)
+
+demo.launch()

requirements.txt

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+langchain_ollama
+langchain
+langchain_community
+pypdf
+pdfplumber
+gradio
+transformers
+torch 
+sounddevice 
+numpy 
+edge-tts 
+pyttsx3
+wavio
+scipy
+librosa
+accelerate
+pygame
+gtts
+sentence_transformers
+langchain-pinecone
+weaviate-client