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import gradio as gr
from google.generativeai import GenerativeModel, configure
from gtts import gTTS
import speech_recognition as sr
import os
import tempfile
import torch
from torchvision import models, transforms
from PIL import Image
import json
# ✅ Load API key from environment variable
GOOGLE_API_KEY = os.getenv("GEMINI_API_KEY")
if not GOOGLE_API_KEY:
raise ValueError("❌ Missing API Key! Please set GEMINI_API_KEY as an environment variable.")
# ✅ Configure Gemini securely
configure(api_key=GOOGLE_API_KEY)
gemini_model = GenerativeModel("models/gemini-1.5-flash")
def transcribe_audio(audio_path):
recognizer = sr.Recognizer()
with sr.AudioFile(audio_path) as source:
audio = recognizer.record(source)
try:
return recognizer.recognize_google(audio, language='pa-IN')
except sr.UnknownValueError:
return "❌ ਆਵਾਜ਼ ਨੂੰ ਸਮਝਿਆ ਨਹੀਂ ਜਾ ਸਕਿਆ।"
except sr.RequestError:
return "❌ ਗੂਗਲ ਸਪੀਚ ਐਪੀਆਈ ਨਾਲ ਕਨੇਕਟ ਨਹੀਂ ਹੋ ਸਕਿਆ।"
def get_gemini_response(query):
try:
response = gemini_model.generate_content(f"ਪੰਜਾਬੀ ਵਿੱਚ ਜਵਾਬ ਦਿਓ: {query}")
return response.text.replace('*', '')
except Exception as e:
return f"❌ Gemini ਤਰਫੋਂ ਗਲਤੀ: {str(e)}"
def text_to_speech(text, lang='pa'):
tts = gTTS(text=text, lang=lang)
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
tts.save(temp_file.name)
return temp_file.name
# ---------------------------
# Combined Function
# ---------------------------
def handle_voice_query(audio_file):
query = transcribe_audio(audio_file)
response = get_gemini_response(query)
audio_path = text_to_speech(response)
return query, response, audio_path
with gr.Blocks() as demo:
gr.Markdown("# 🗣️ **ਆਵਾਜ਼ ਰਾਹੀਂ ਪੁੱਛੋ**")
gr.Markdown("### ਆਪਣਾ ਸਵਾਲ ਆਵਾਜ਼ ਰਾਹੀਂ ਪੁੱਛੋ (ਪੰਜਾਬੀ ਵਿੱਚ)")
audio_input = gr.Audio(type="filepath", label="🎤 ਸਵਾਲ ਬੋਲੋ")
query_text = gr.Textbox(label="🔍 ਬੋਲਿਆ ਗਿਆ ਸਵਾਲ")
gemini_response = gr.Textbox(label="📜 Gemini ਜਵਾਬ")
audio_output = gr.Audio(label="🔊 ਆਵਾਜ਼ੀ ਜਵਾਬ")
submit_btn = gr.Button("➡️ ਜਵਾਬ ਲਵੋ")
submit_btn.click(fn=handle_voice_query,
inputs=[audio_input],
outputs=[query_text, gemini_response, audio_output])
demo.launch() |