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.env

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+GOOGLE_API_KEY = 'AIzaSyDftMfBzRX-VKPHga-3Pvr2ie_vziKXRjc'

.gitignore

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+multilingual
+/.env
+env
+aivenv

README.md

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----
-title: AI Voice Assistant
-emoji: 💻
-colorFrom: purple
-colorTo: yellow
-sdk: streamlit
-sdk_version: 1.41.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Multilingual Assistant 
+
+
+# How to run?
+### STEPS:
+
+Clone the repository
+
+```bash
+Project repo: https://github.com/
+```
+### STEP 01- Create a conda environment after opening the repository
+
+```bash
+conda create -n llmapp python=3.8 -y
+```
+
+```bash
+conda activate llmapp
+```
+
+
+### STEP 02- install the requirements
+```bash
+pip install -r requirements.txt
+```
+
+### Create a `.env` file in the root directory and add your GOOGLE_API_KEY credentials as follows:
+
+```ini
+GOOGLE_API_KEY = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
+```
+
+
+```bash
+# Finally run the following command
+streamlit run app.py
+```
+
+Now,
+```bash
+open up localhost:
+```
+
+
+### Techstack Used:
+
+- Python
+- Google API
+- Streamlit
+- PaLM2
+- s2t
+- t2s
+
+
+

app.py

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+import streamlit as st
+from src.helper import voice_input, llm_model_object, text_to_speech
+
+
+def main():
+    st.title("Multilingual AI Assistant 🤖")
+    
+    if st.button("Ask me anything"):
+        with st.spinner("Listening..."):
+            text=voice_input()
+            response=llm_model_object(text)
+            text_to_speech(response)
+            
+            
+            audio_file=open("speech.mp3","rb")
+            audio_bytes=audio_file.read()
+            
+            
+            st.text_area(label="Response:",value=response,height=350)
+            st.audio(audio_bytes)
+            st.download_button(label="Download Speech",
+                               data=audio_bytes,
+                               file_name="speech.mp3",
+                               mime="audio/mp3")
+            
+if __name__=='__main__':
+    main()

requirements.txt

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+SpeechRecognition
+pipwin
+PyAudio
+gTTS
+google-generativeai
+python-dotenv
+streamlit
+
+-e .

setup.py

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+from setuptools import find_packages, setup
+
+setup(
+    name="multilingual assistant",
+    version="0.0.1",
+    author="bijay",
+    author_email="[email protected]",
+    packages=find_packages(),
+    install_requires=["SpeechRecognition","pipwin","pyaudio","gTTS","google-generativeai","python-dotenv","streamlit"]
+)

template.py

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+import os
+import logging
+from pathlib import Path
+
+logging.basicConfig(level=logging.INFO, format='[%(asctime)s]: %(message)s:')
+
+list_of_files = [
+    "src/__init__.py",
+    "src/helper.py",
+    ".env",
+    "requirements.txt",
+    "setup.py",
+    "app.py",
+    "research/trials.ipynb"
+]
+
+
+for filepath in list_of_files:
+    filepath = Path(filepath)
+    filedir, filename = os.path.split(filepath)
+
+
+    if filedir !="":
+        os.makedirs(filedir, exist_ok=True)
+        logging.info(f"Creating directory; {filedir} for the file: {filename}")
+
+    if (not os.path.exists(filepath)) or (os.path.getsize(filepath) == 0):
+        with open(filepath, "w") as f:
+            pass
+            logging.info(f"Creating empty file: {filepath}")
+
+
+    else:
+        logging.info(f"{filename} is already exists")