Create app.py

app.py

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+import os
+from pathlib import Path
+import gradio as gr
+from groq import Groq
+
+# Load API key from Hugging Face Secret
+api_key = os.getenv("GroqApiKey")
+
+# Initialize Groq client
+client = Groq(api_key=api_key)
+
+
+def ask_ai(audio_file):
+    try:
+        # 1. Speech-to-Text
+        with open(audio_file, "rb") as file:
+            transcription = client.audio.transcriptions.create(
+                file=("user_input.wav", file.read()),
+                model="whisper-large-v3",
+                response_format="verbose_json",
+            )
+        user_text = transcription.text
+
+        # 2. LLM Completion
+        completion = client.chat.completions.create(
+            model="llama-3.1-8b-instant",
+            messages=[{"role": "user", "content": user_text}],
+            temperature=1,
+            max_completion_tokens=512,
+            top_p=1,
+        )
+        answer_text = completion.choices[0].message.content
+
+        # 3. Text-to-Speech
+        speech_file_path = Path("answer.wav")
+        response = client.audio.speech.create(
+            model="playai-tts",
+            voice="Calum-PlayAI",
+            response_format="wav",
+            input=answer_text,
+        )
+
+        # Save audio file
+        with open(speech_file_path, "wb") as f:
+            for chunk in response.iter_bytes():
+                f.write(chunk)
+
+        return user_text, answer_text, str(speech_file_path)
+
+    except Exception as e:
+        return "Error processing your request.", str(e), None
+
+
+# Gradio Interface
+ui = gr.Interface(
+    fn=ask_ai,
+    inputs=gr.Audio(
+        sources=["microphone", "upload"],
+        type="filepath",
+        label="Ask me a question (record or upload audio)"
+    ),
+    outputs=[
+        gr.Textbox(label="Transcribed Question"),
+        gr.Textbox(label="AI Answer"),
+        gr.Audio(label="Answer Audio")
+    ],
+    title="🎤 Voice Q&A with Groq AI",
+    description="Record or upload an audio file, get an AI-generated spoken answer.",
+)
+
+if __name__ == "__main__":
+    ui.launch()