Create app.py

app.py

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+import gradio as gr
+from gtts import gTTS
+import hashlib
+import os
+
+# Cache for storing generated audio
+audio_cache = {}
+
+# Chatbot Response Function
+def chatbot_response(user_input):
+    responses = {
+        "hello": "Hello! How can I help you?",
+        "how are you": "I'm just a bot, but I'm doing great! What about you?",
+        "bye": "Goodbye! Have a nice day!",
+    }
+    return responses.get(user_input.lower(), "Sorry, I didn't understand that.")
+
+# Text-to-Speech Function with Caching
+def speak(text):
+    text_hash = hashlib.md5(text.encode()).hexdigest()
+    audio_file = f"{text_hash}.mp3"
+
+    if text_hash not in audio_cache:
+        tts = gTTS(text=text, lang='en', slow=False)
+        tts.save(audio_file)
+        audio_cache[text_hash] = audio_file
+
+    return audio_cache[text_hash]
+
+# Combined Function for Gradio Interface
+def chatbot(user_input):
+    response = chatbot_response(user_input)
+    audio_path = speak(response)
+    return response, audio_path
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=chatbot,
+    inputs=gr.Textbox(lines=2, placeholder="Type your message here..."),
+    outputs=[gr.Textbox(), gr.Audio()],
+    title="AI Female Voice Chatbot",
+    description="Simple chatbot with text-to-speech functionality."
+)
+
+iface.launch()