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| import streamlit as st | |
| from huggingface_hub import InferenceClient | |
| from gtts import gTTS | |
| import base64 | |
| import os | |
| from langdetect import detect, DetectorFactory | |
| # To ensure consistent results from langdetect | |
| DetectorFactory.seed = 0 | |
| client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") | |
| def generate_response(message, system_message, max_tokens, temperature, top_p): | |
| if not message: | |
| return "Please enter a message.", None | |
| messages = [{"role": "system", "content": system_message}] | |
| messages.append({"role": "user", "content": message}) | |
| response = "" | |
| for msg in client.chat_completion( | |
| messages, | |
| max_tokens=max_tokens, | |
| stream=True, | |
| temperature=temperature, | |
| top_p=top_p, | |
| ): | |
| token = msg.choices[0].delta.content | |
| response += token | |
| # Detect language and set TTS language | |
| try: | |
| lang = detect(message) | |
| except Exception as e: | |
| st.error(f"Error detecting language: {e}") | |
| lang = 'en' | |
| # Generate speech from the response text using gTTS | |
| tts = gTTS(text=response, lang='ar' if lang == 'ar' else 'en') | |
| audio_file = "response.mp3" | |
| tts.save(audio_file) | |
| return response, audio_file | |
| def get_base64_audio(audio_file): | |
| with open(audio_file, "rb") as f: | |
| audio_data = f.read() | |
| return base64.b64encode(audio_data).decode() | |
| st.title("A Chatbot with Voice Response") | |
| message = st.text_input("Enter your message:") | |
| system_message = st.text_input("System message:", value="You are a friendly Chatbot.") | |
| max_tokens = st.slider("Max new tokens", 1, 2048, 512) | |
| temperature = st.slider("Temperature", 0.1, 4.0, 0.7, step=0.1) | |
| top_p = st.slider("Top-p (nucleus sampling)", 0.1, 1.0, 0.95, step=0.05) | |
| if st.button("Generate Response"): | |
| response, audio_file = generate_response(message, system_message, max_tokens, temperature, top_p) | |
| st.write(response) | |
| if audio_file: | |
| # Get base64 encoded audio data | |
| audio_base64 = get_base64_audio(audio_file) | |
| # HTML to autoplay the audio | |
| audio_html = f""" | |
| <audio controls autoplay> | |
| <source src="data:audio/mp3;base64,{audio_base64}" type="audio/mp3"> | |
| Your browser does not support the audio element. | |
| </audio> | |
| """ | |
| st.markdown(audio_html, unsafe_allow_html=True) | |
| # Clean up the audio file | |
| os.remove(audio_file) | |