Create app.py

app.py

@@ -0,0 +1,97 @@
+import os
+import gradio as gr
+import whisper
+from gtts import gTTS
+import io
+from groq import Groq
+
+# Initialize the Groq client
+GROQ_API_KEY = "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"
+
+# Load the Whisper model
+model = whisper.load_model("base")  # You can choose other models like "small", "medium", "large"
+
+def process_audio(file_path):
+    try:
+        # Load the audio file
+        audio = whisper.load_audio(file_path)
+
+        # Transcribe the audio using Whisper
+        result = model.transcribe(audio)
+        text = result["text"]
+
+        # Generate a response using Groq
+        chat_completion = client.chat.completions.create(
+            messages=[{"role": "user", "content": text}],
+            model="llama3-8b-8192",  # Replace with the correct model if necessary
+        )
+
+        # Access the response using dot notation
+        response_message = chat_completion.choices[0].message.content.strip()
+
+        # Convert the response text to speech
+        tts = gTTS(response_message)
+        response_audio_io = io.BytesIO()
+        tts.write_to_fp(response_audio_io)  # Save the audio to the BytesIO object
+        response_audio_io.seek(0)
+
+        # Save audio to a file to ensure it's generated correctly
+        with open("response.mp3", "wb") as audio_file:
+            audio_file.write(response_audio_io.getvalue())
+
+        # Return the response text and the path to the saved audio file
+        return response_message, "response.mp3"
+
+    except Exception as e:
+        return f"An error occurred: {e}", None
+
+# Define custom CSS for improved appearance
+custom_css = """
+.gradio-container {
+    background-color: #87ceeb; /* Sky blue background */
+    color: #333; /* Dark text color for contrast */
+    font-family: Arial, sans-serif; /* Better font */
+    text-align: center; /* Center align text */
+}
+
+.gradio-title {
+    color: #333; /* Title color */
+    font-size: 36px; /* Large font size */
+    font-weight: bold; /* Bold text */
+    margin-bottom: 20px; /* Space below the title */
+}
+
+.gradio-input, .gradio-output {
+    background-color: #e0f7fa; /* Slightly lighter background for inputs/outputs */
+    color: #333; /* Text color for inputs/outputs */
+    border: 1px solid #80deea; /* Border color */
+    border-radius: 5px; /* Rounded corners */
+    padding: 10px; /* Padding */
+}
+
+.gradio-button {
+    background-color: #4fc3f7; /* Button background color */
+    color: white; /* Button text color */
+    border: none; /* Remove default border */
+    border-radius: 5px; /* Rounded corners */
+    padding: 10px 20px; /* Padding */
+    cursor: pointer; /* Pointer cursor on hover */
+}
+
+.gradio-button:hover {
+    background-color: #29b6f6; /* Button hover color */
+}
+"""
+
+# Define the Gradio interface with custom CSS
+iface = gr.Interface(
+    fn=process_audio,
+    inputs=gr.Audio(type="filepath"),  # Use type="filepath"
+    outputs=[gr.Textbox(label="Response Text"), gr.Audio(label="Response Audio")],
+    live=True,
+    title="Audio to Audio ChatBot",  # Add title here
+    description="Convert audio input to text, generate a response, and convert it back to audio.",
+    css=custom_css  # Apply custom CSS
+)
+
+iface.launch()