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Browse files- app.py +69 -0
- requirements.txt +4 -0
app.py
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import gradio as gr
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import requests
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from gtts import gTTS
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import tempfile
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import os
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# π OpenRouter API key (Replace this securely in HF secrets later)
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OPENROUTER_API_KEY = "YOUR_API_KEY"
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# π§ Get AI response
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def get_ai_response(user_input):
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url = "https://openrouter.ai/api/v1/chat/completions"
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headers = {
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"Authorization": f"Bearer {OPENROUTER_API_KEY}",
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"Content-Type": "application/json"
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}
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data = {
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"model": "mistralai/mistral-7b-instruct:free",
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"max_tokens": 100,
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"temperature": 0.7,
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"messages": [
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{"role": "system", "content": "You are a helpful and friendly AI assistant. Keep answers short."},
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{"role": "user", "content": user_input}
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]
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}
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response = requests.post(url, headers=headers, json=data)
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if response.ok:
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result = response.json()
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return result["choices"][0]["message"]["content"]
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else:
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return "β οΈ OpenRouter error"
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# ποΈ Speech-to-text β AI β Text-to-speech
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def process_audio(audio):
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if audio is None:
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return "No audio provided", None
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import speech_recognition as sr
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recognizer = sr.Recognizer()
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with sr.AudioFile(audio) as source:
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audio_data = recognizer.record(source)
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try:
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text = recognizer.recognize_google(audio_data)
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except:
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return "Sorry, I couldn't understand you.", None
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ai_response = get_ai_response(text)
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# π Convert to speech
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tts = gTTS(text=ai_response, lang="en")
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as f:
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tts.save(f.name)
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return ai_response, f.name
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# πΌοΈ Gradio UI
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demo = gr.Interface(
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fn=process_audio,
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inputs=gr.Audio(source="microphone", type="filepath", label="ποΈ Speak now"),
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outputs=[
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gr.Text(label="π§ AI Response"),
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gr.Audio(label="π AI Voice")
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],
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title="π€ Voice Assistant with OpenRouter AI",
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description="Speak your question. The AI will respond by voice."
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)
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demo.launch()
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requirements.txt
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@@ -0,0 +1,4 @@
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gradio
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gTTS
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requests
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speechrecognition
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