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requirements.txt

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+gradio
+groq
+openai-whisper
+pyttsx3
+gtts

voice_chatbot.py

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+# -*- coding: utf-8 -*-
+
+
+import os
+import gradio as gr
+import whisper
+from gtts import gTTS
+from groq import Groq
+
+# Set up Groq API client
+client = Groq(
+    api_key="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",
+)
+# Load Whisper model
+model = whisper.load_model("base")
+
+def chatbot(audio):
+    # Transcribe the audio input using Whisper
+    transcription = model.transcribe(audio)
+    user_input = transcription["text"]
+
+    # Generate a response using Llama 8B via Groq API
+    chat_completion = client.chat.completions.create(
+        messages=[
+            {
+                "role": "user",
+                "content": user_input,
+            }
+        ],
+        model="llama3-8b-8192",
+    )
+    response_text = chat_completion.choices[0].message.content
+
+    # Convert the response text to speech using gTTS
+    tts = gTTS(text=response_text, lang='en')
+    tts.save("response.mp3")
+
+    return response_text, "response.mp3"
+
+# Create a custom interface
+def build_interface():
+    with gr.Blocks() as demo:
+        gr.Markdown(
+            """
+            <h1 style="text-align: center; color: #4CAF50;">Voice-to-Voice Chatbot</h1>
+            <h3 style="text-align: center;">Powered by OpenAI Whisper, Llama 8B, and gTTS</h3>
+            <p style="text-align: center;">Talk to the AI-powered chatbot and get responses in real-time. Start by recording your voice.</p>
+            """
+        )
+        with gr.Row():
+            with gr.Column(scale=1):
+                audio_input = gr.Audio(type="filepath", label="Record Your Voice")
+            with gr.Column(scale=2):
+                chatbot_output_text = gr.Textbox(label="Chatbot Response")
+                chatbot_output_audio = gr.Audio(label="Audio Response")
+
+        submit_button = gr.Button("Submit")
+
+        submit_button.click(chatbot, inputs=audio_input, outputs=[chatbot_output_text, chatbot_output_audio])
+
+    return demo
+
+# Launch the interface
+if __name__ == "__main__":
+    interface = build_interface()
+    interface.launch()