Create app.py

app.py

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+import os
+import whisper
+import gradio as gr
+from groq import Groq
+from gtts import gTTS
+
+# ✅ Set API Key (Replace with your actual key)
+os.environ["GROQ_API_KEY"] = "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"
+
+# ✅ Load Whisper Model securely
+model = whisper.load_model("small")
+
+def speech_to_text(audio_path):
+    """Convert speech from audio file to text using Whisper."""
+    result = model.transcribe(audio_path)
+    return result["text"]
+
+def generate_text(prompt):
+    """Generate AI response using Groq API."""
+    client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
+
+    chat_completion = client.chat.completions.create(
+        messages=[{"role": "user", "content": prompt}],
+        model="llama-3.3-70b-versatile",
+    )
+    
+    return chat_completion.choices[0].message.content
+
+def text_to_speech(text):
+    """Convert text response to speech using Google TTS."""
+    tts = gTTS(text=text, lang="en")
+    output_path = "output.mp3"
+    tts.save(output_path)
+    return output_path  # Return file path for Gradio
+
+def chat_process(history, text_input, audio_path):
+    """Main pipeline: Handles both Text and Speech inputs."""
+    
+    # Check if user provided text or voice input
+    if audio_path:
+        user_input = speech_to_text(audio_path)  # Convert audio to text
+    elif text_input:
+        user_input = text_input  # Use text input
+    else:
+        return history, None  # No input received
+
+    # Generate response
+    response_text = generate_text(user_input)
+    
+    # Convert response to speech
+    tts_output = text_to_speech(response_text)
+    
+    # Append conversation history
+    history.append({"role": "user", "content": user_input})
+    history.append({"role": "assistant", "content": response_text})
+
+    return history, tts_output
+
+def reset_chat():
+    return []
+
+# ✅ Updated Gradio Chat UI
+with gr.Blocks() as chat_ui:
+    gr.Markdown("## 📝🎙️ @HilalSeek AI Assistant")
+    
+    chatbot = gr.Chatbot(label="Conversation", type="messages")  # Chat display
+    with gr.Row():
+        text_input = gr.Textbox(placeholder="Type your message here...", interactive=True)
+        audio_input = gr.Audio(type="filepath", format="wav")  # ✅ Fixed Mic input
+        submit_button = gr.Button("Submit")
+
+    clear_button = gr.Button("Clear Chat")
+
+    submit_button.click(chat_process, [chatbot, text_input, audio_input], [chatbot, gr.Audio(type="filepath")])
+    clear_button.click(reset_chat, [], chatbot)
+
+# ✅ Launch Gradio App
+chat_ui.launch(share=True)