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Browse files- app.py +124 -0
- requirements.txt +63 -0
app.py
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import os
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import base64
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import uuid
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import gradio as gr
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from openai import OpenAI
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from speechify import Speechify
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from dotenv import load_dotenv
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# Detect Hugging Face environment
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RUNNING_IN_SPACES = os.getenv("SYSTEM") == "spaces"
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# Load API keys
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if not RUNNING_IN_SPACES:
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load_dotenv()
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openai_api_key = os.getenv("OPENAI_API_KEY")
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speechify_api_key = os.getenv("SPEECHIFY_API_KEY")
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# Sanity check (but don't print full keys)
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print(f"✅ OPENAI_API_KEY loaded: {'✅' if openai_api_key else '❌ MISSING'}")
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print(f"✅ SPEECHIFY_API_KEY loaded: {'✅' if speechify_api_key else '❌ MISSING'}")
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# Initialize clients
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openai_client = OpenAI(api_key=openai_api_key)
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speechify_client = Speechify(token=speechify_api_key)
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# Voice config
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language_config = {
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"Portuguese": {
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"voice_id": "joao",
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"language": "pt-PT",
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"model": "simba-multilingual",
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"audio_format": "mp3"
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},
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"French": {
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"voice_id": "leo",
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"language": "fr-FR",
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"model": "simba-multilingual",
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"audio_format": "mp3"
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},
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"Spanish": {
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"voice_id": "danna-sofia",
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"language": "es-MX",
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"model": "simba-multilingual",
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"audio_format": "mp3"
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},
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}
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# Function for chat + TTS
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def chat_and_speak(user_input, language_choice):
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gpt_response = ""
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audio_output_path = None
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try:
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if not user_input or not user_input.strip():
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return "Please enter some text to process.", None
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print(f"🧠 User input: {user_input}")
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print(f"🗣️ Language choice: {language_choice}")
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# Step 1: Get GPT response
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system_message = f"You are a friendly {language_choice} language tutor. Respond only in {language_choice}."
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completion = openai_client.chat.completions.create(
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model="gpt-4",
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messages=[
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{"role": "system", "content": system_message},
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{"role": "user", "content": user_input}
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]
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)
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gpt_response = completion.choices[0].message.content
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print(f"💬 GPT response: {gpt_response}")
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# Step 2: Use Speechify to generate audio
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config = language_config.get(language_choice)
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if not config:
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error_msg = f"⚠️ Language '{language_choice}' not supported."
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print(error_msg)
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return f"{gpt_response}\n\n{error_msg}", None
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tts_response = speechify_client.tts.audio.speech(
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input=gpt_response,
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voice_id=config["voice_id"],
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model=config["model"],
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audio_format=config["audio_format"]
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)
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if hasattr(tts_response, "audio_data") and isinstance(tts_response.audio_data, str) and tts_response.audio_data:
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try:
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audio_bytes = base64.b64decode(tts_response.audio_data)
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os.makedirs("speech_files", exist_ok=True)
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audio_output_path = os.path.join("speech_files", f"speech_{uuid.uuid4().hex}.mp3")
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with open(audio_output_path, "wb") as f:
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f.write(audio_bytes)
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except Exception as audio_err:
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print(f"🔥 Error processing audio data: {audio_err}")
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return f"{gpt_response}\n\n⚠️ Error saving audio: {audio_err}", None
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else:
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print("⚠️ No audio data received from Speechify or audio_data is not a string.")
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return f"{gpt_response}\n\n⚠️ No audio data received from Speechify.", None
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return gpt_response, audio_output_path
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except Exception as e:
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print(f"🔥 An unexpected error occurred: {e}")
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error_message = f"⚠️ An unexpected error occurred: {e}"
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if gpt_response:
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return f"{gpt_response}\n\n{error_message}", None
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return error_message, None
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# Gradio interface
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iface = gr.Interface(
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fn=chat_and_speak,
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inputs=[
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gr.Textbox(label="Say something"),
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gr.Dropdown(choices=["Portuguese", "French", "Spanish"], value="Portuguese", label="Language"),
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],
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outputs=[
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gr.Textbox(label="GPT Response"),
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gr.Audio(label="TTS Playback", type="filepath")
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],
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title="Language Tutor with GPT and Speechify",
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allow_flagging="never"
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)
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if __name__ == "__main__":
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iface.launch()
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requirements.txt
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aiofiles==24.1.0
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annotated-types==0.7.0
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anyio==4.9.0
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audioop-lts==0.2.1
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certifi==2024.6.2
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charset-normalizer==3.3.2
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click==8.1.8
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distro==1.9.0
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fastapi==0.115.13
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ffmpy==0.6.0
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filelock==3.18.0
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fsspec==2025.5.1
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gradio==5.34.0
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gradio_client==1.10.3
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groovy==0.1.2
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gTTS==2.5.4
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h11==0.16.0
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hf-xet==1.1.4
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httpcore==1.0.9
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httpx==0.28.1
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huggingface-hub==0.33.0
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idna==3.7
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Jinja2==3.1.6
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jiter==0.10.0
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markdown-it-py==3.0.0
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MarkupSafe==3.0.2
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mdurl==0.1.2
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numpy==2.3.0
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openai==1.88.0
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orjson==3.10.18
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packaging==25.0
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pandas==2.3.0
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pillow==11.2.1
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pydantic==2.11.7
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pydantic_core==2.33.2
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pydub==0.25.1
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Pygments==2.19.1
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python-dateutil==2.9.0.post0
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python-dotenv==1.1.0
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python-multipart==0.0.20
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pytz==2025.2
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PyYAML==6.0.2
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requests==2.32.3
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rich==14.0.0
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ruff==0.12.0
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safehttpx==0.1.6
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.17.0
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sniffio==1.3.1
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speechify==0.0.0
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speechify-api==1.2.0
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starlette==0.46.2
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tabulate==0.9.0
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tomlkit==0.13.3
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tqdm==4.67.1
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typer==0.16.0
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typing-inspection==0.4.1
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typing_extensions==4.14.0
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tzdata==2025.2
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urllib3==2.2.2
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uvicorn==0.34.3
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websockets==15.0.1
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