Update app.py

app.py

@@ -1,22 +1,31 @@
+from langchain.agents import AgentType, initialize_agent, load_tools
+from langchain.llms import Together
 from langchain.tools import ElevenLabsText2SpeechTool
-from elevenlabs import set_api_key, Voice, generate
-import gradio as gr
-import os
-import requests
+from elevenlabs import set_api_key
 
-# Define the function that generates the audio
-def generate_audio(text):
-    url = "https://api.elevenlabs.io/v1/text-to-speech/mu3rhpR8gxbjSIcSW7fa"
-    payload = {
-        "model_id": "eleven_turbo_v2",
-        "text": text
-    }
-    headers = {
-        "xi-api-key": "866c88e3fe83f2b0de18226738445c8f",
-        "Content-Type": "application/json"
-    }
-    response = requests.request("POST", url, json=payload, headers=headers)
-    return response.json()["audio"]
+set_api_key("866c88e3fe83f2b0de18226738445c8f")
 
-# Create the Gradio interface
-gr.Interface(fn=generate_audio, inputs="text", outputs="audio").launch()
+# Initialize ElevenLabsText2SpeechTool
+tts = ElevenLabsText2SpeechTool()
+
+# Initialize LLM and agent
+llm = Together(
+    model="mistralai/Mixtral-8x7B-Instruct-v0.1",
+    temperature=0.7,
+    max_tokens=128,
+    top_k=1,
+    together_api_key="f722a9f6e3afd6b9999e6aee02aeac9e751ea3a67b124c3667ab50c85c7fa99e"
+)
+tools = load_tools(["eleven_labs_text2speech"])
+agent = initialize_agent(
+    tools=tools,
+    llm=llm,
+    agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,
+    verbose=True
+)
+
+# Request a joke and get the path to the audio file
+response = agent.run("Please provide me with an audio file containing a joke about a tiger")
+print(response)
+
+tts.play(response)