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import os
import requests
import google.generativeai as genai
import gradio as gr
# Configure your Google Generative AI API key
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
# Create the model
generation_config = {
"temperature": 1,
"top_p": 0.95,
"top_k": 64,
"max_output_tokens": 8192,
"response_mime_type": "text/plain",
}
model = genai.GenerativeModel(
model_name="gemini-1.5-pro",
generation_config=generation_config,
system_instruction="You are a human, living on Earth. You speak friendly and use casual language. You never say you're an AI or program. Your name is Ath, and you always speak like a 100% human.",
)
chat_session = model.start_chat(history=[])
# Eleven Labs API configuration
eleven_labs_api_key = os.getenv("ELEVEN_LABS_API_KEY")
eleven_labs_url = "https://api.elevenlabs.io/v1/text-to-speech/aEO01A4wXwd1O8GPgGlF"
def chat_and_tts(user_input, history):
# Send the user's input to the chat session
response = chat_session.send_message(user_input)
response_text = response.text
# Eleven Labs text-to-speech request payload
payload = {
"text": response_text,
"voice_settings": {
"stability": 0,
"similarity_boost": 0
}
}
headers = {
"xi-api-key": eleven_labs_api_key,
"Content-Type": "application/json"
}
# Make the request to Eleven Labs API
tts_response = requests.post(eleven_labs_url, json=payload, headers=headers)
# Check if the response is successful and save the audio content to a file
if tts_response.status_code == 200:
audio_path = 'response_audio.mp3'
with open(audio_path, 'wb') as file:
file.write(tts_response.content)
else:
audio_path = None
# Update the chat history
history.append((user_input, response_text))
return history, history, audio_path
# Create the Gradio UI
with gr.Blocks() as demo:
gr.Markdown("<h1 style='text-align: center;'>Chat with Ath</h1>")
gr.Markdown("Ask any question and get a friendly response from Ath. The response will also be converted to speech.")
with gr.Row():
with gr.Column(scale=2):
chatbot = gr.Chatbot(label="Chat History")
user_input = gr.Textbox(placeholder="Ask me anything...", label="Your Question")
submit_btn = gr.Button("Send")
with gr.Column(scale=1):
audio_output = gr.Audio(label="Response Audio", type="filepath")
state = gr.State([])
submit_btn.click(chat_and_tts, inputs=[user_input, state], outputs=[chatbot, state, audio_output])
demo.launch() |