Create app.py

app.py

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+# Step 2: Import necessary libraries
+import os
+import gradio as gr
+from groq import Groq
+from gtts import gTTS
+import whisper
+from io import BytesIO
+import soundfile as sf
+
+# Step 3: Set up Groq client
+# Make sure to replace 'YOUR_GROQ_API_KEY' with your actual Groq API key
+os.environ["GROQ_API_KEY"] = "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"
+client = Groq(api_key=os.environ["GROQ_API_KEY"])
+
+# Step 4: Load Whisper model
+whisper_model = whisper.load_model("base")
+
+# Step 5: Function for transcribing audio (adjusted for filepath)
+def transcribe_audio(audio_filepath):
+    audio_data, _ = sf.read(audio_filepath)  # Read audio file from path
+    result = whisper_model.transcribe(audio_data)
+    return result["text"]
+
+
+# Step 6: Function to get a response from Groq LLM
+def get_groq_response(user_input):
+    chat_completion = client.chat.completions.create(
+        messages=[{"role": "user", "content": user_input}],
+        model="llama3-8b-8192"
+    )
+    return chat_completion.choices[0].message.content
+
+# Step 7: Function to convert text to speech using gTTS
+def text_to_speech(text):
+    tts = gTTS(text)
+    audio_output = BytesIO()
+    tts.write_to_fp(audio_output)
+    audio_output.seek(0)
+    return audio_output
+
+# Step 8: Gradio interface function
+def chatbot_pipeline(audio):
+    # Step 8a: Transcribe the input audio
+    transcribed_text = transcribe_audio(audio)
+
+    # Step 8b: Get response from Groq
+    response_text = get_groq_response(transcribed_text)
+
+    # Step 8c: Convert response to speech
+    response_audio = text_to_speech(response_text)
+
+    return response_text, response_audio
+
+# Step 9: Define Gradio interface (fix for audio output type)
+interface = gr.Interface(
+    fn=chatbot_pipeline,
+    inputs=gr.Audio(type="filepath"),
+    outputs=[gr.Textbox(), gr.Audio(type="numpy")],
+    title="Real-Time Voice-to-Voice Chatbot",
+    description="Talk to a real-time chatbot that transcribes your voice, generates responses using Groq API, and reads them back to you!"
+)
+
+# Step 10: Launch Gradio interface
+interface.launch(debug=True)