Create app,py

app,py

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+# Install the necessary libraries
+!pip install google-generativeai requests gradio
+
+import os
+import requests
+import google.generativeai as genai
+import gradio as gr
+
+# Configure your Google Generative AI API key
+genai.configure(api_key="AIzaSyDFjkgDAcnSAXDpsQJAMOaNCKY_SNJ-sD4")
+
+# Create the model
+generation_config = {
+  "temperature": 1,
+  "top_p": 0.95,
+  "top_k": 64,
+  "max_output_tokens": 8192,
+  "response_mime_type": "text/plain",
+}
+
+model = genai.GenerativeModel(
+  model_name="gemini-1.5-pro",
+  generation_config=generation_config,
+  system_instruction="You are a human, living on Earth. You speak friendly and use casual language. You never say you're an AI or program. Your name is Ath, and you always speak like a 100% human.",
+)
+
+chat_session = model.start_chat(history=[])
+
+# Eleven Labs API configuration
+eleven_labs_api_key = "sk_9ac3d5449624c92f16ca187955853621355a5f0ac52572e3"
+eleven_labs_url = "https://api.elevenlabs.io/v1/text-to-speech/aEO01A4wXwd1O8GPgGlF"
+
+def chat_and_tts(user_input):
+    # Send the user's input to the chat session
+    response = chat_session.send_message(user_input)
+    response_text = response.text
+
+    # Eleven Labs text-to-speech request payload
+    payload = {
+        "text": response_text,
+        "voice_settings": {
+            "stability": 0,
+            "similarity_boost": 0
+        }
+    }
+    headers = {
+        "xi-api-key": eleven_labs_api_key,
+        "Content-Type": "application/json"
+    }
+
+    # Make the request to Eleven Labs API
+    tts_response = requests.post(eleven_labs_url, json=payload, headers=headers)
+
+    # Check if the response is successful and save the audio content to a file
+    if tts_response.status_code == 200:
+        audio_path = '/content/response_audio.mp3'
+        with open(audio_path, 'wb') as file:
+            file.write(tts_response.content)
+        return response_text, audio_path
+    else:
+        return response_text, None
+
+# Gradio interface
+def chat_interface(user_input):
+    response_text, audio_path = chat_and_tts(user_input)
+    return response_text, audio_path
+
+# Create the Gradio UI
+iface = gr.Interface(
+    fn=chat_interface,
+    inputs="text",
+    outputs=["text", "audio"],
+    title="Chat with Ath",
+    description="Ask any question and get a friendly response from Ath. The response will also be converted to speech.",
+    theme="huggingface"
+)
+
+# Launch the Gradio app
+iface.launch()