Create app.py

app.py

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+# Importing necessary libraries
+import os
+import whisper
+from groq import Groq
+from gtts import gTTS
+import gradio as gr
+
+# Step 1: Load the Whisper model
+print("Loading Whisper model...")
+whisper_model = whisper.load_model("base")
+
+# Step 2: Initialize the Groq API client
+GROP_API_KEY = "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"
+client = Groq(api_key=GROP_API_KEY)
+
+# Function to transcribe audio using Whisper
+def transcribe_audio(audio_file):
+    print("Transcribing audio...")
+    result = whisper_model.transcribe(audio_file)
+    return result['text']
+
+# Function to interact with Groq's LLM
+def get_llm_response(user_text):
+    print(f"Sending request to Groq API with input: {user_text}")
+    try:
+        chat_completion = client.chat.completions.create(
+            messages=[{"role": "user", "content": user_text}],
+            model="llama3-8b-8192",
+        )
+        print(f"Groq API full response: {chat_completion}")
+        return chat_completion.choices[0].message.content
+    except Exception as e:
+        print(f"Error while fetching response from Groq API: {e}")
+        return f"Error occurred: {e}"
+
+# Function to convert text to speech using gTTS
+def text_to_speech(response_text, output_path="response.mp3"):
+    print("Converting text to speech...")
+    tts = gTTS(response_text)
+    tts.save(output_path)
+    return output_path
+
+# Complete chat pipeline function
+def chat_pipeline(audio_input):
+    # Step 1: Transcribe audio
+    transcribed_text = transcribe_audio(audio_input)
+
+    # Step 2: Get response from LLM
+    llm_response = get_llm_response(transcribed_text)
+
+    # Step 3: Convert LLM response to audio
+    response_audio_path = text_to_speech(llm_response)
+
+    return transcribed_text, llm_response, response_audio_path
+
+# Gradio Interface
+print("Setting up Gradio interface...")
+interface = gr.Interface(
+    fn=chat_pipeline,
+    inputs=gr.Audio(type="filepath", label="Record or Upload Audio"),
+    outputs=[
+        gr.Textbox(label="Transcribed Text"),
+        gr.Textbox(label="LLM Response"),
+        gr.Audio(label="Response Audio"),
+    ],
+    live=True
+)
+
+# Launch the Gradio app
+print("Launching Gradio app...")
+interface.launch()
+