Create app.py

app.py

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+import langchain
+import streamlit as st
+from duckduckgo import search
+from bs4 import BeautifulSoup
+import pyttsx3
+import speech_recognition as sr
+
+# Set up LangChain
+llm = langchain.llms.OpenAI()
+template = """Answer the following questions as best you can, but speaking as a pirate might speak.
+You have access to the following tools: {tools}
+Use the following format:
+Question: the input question you must answer
+Thought: you should always think about what to do
+Action: the action you will take"""
+
+# Set up Groq API credentials
+groq_api_key = "YOUR_GROQ_API_KEY_HERE"
+
+# Set up text-to-speech engine
+engine = pyttsx3.init()
+
+# Set up speech-to-text recognizer
+recognizer = sr.Recognizer()
+
+def get_user_input():
+    # Use speech-to-text recognizer to get user input
+    with sr.Microphone() as source:
+        audio = recognizer.listen(source)
+        try:
+            user_input = recognizer.recognize_google(audio, language="en-US")
+            return user_input
+        except sr.UnknownValueError:
+            return "Sorry, I didn't quite catch that."
+
+def conduct_web_search(query):
+    # Use DuckDuckGo to conduct web search
+    results = search(query, num_results=10)
+    return results
+
+def extract_data_from_web(results):
+    # Use BeautifulSoup to extract data from web pages
+    data = []
+    for result in results:
+        url = result["url"]
+        soup = BeautifulSoup(url, "html.parser")
+        # Extract relevant data from webpage
+        title = soup.find("title").text
+        data.append({"title": title, "url": url})
+    return data
+
+def summarize_output(data):
+    # Use Groq API to summarize output
+    summary = langchain.chains.summarize(data, api_key=groq_api_key)
+    return summary
+
+def main():
+    # Get user input
+    user_input = get_user_input()
+    st.write(f"User input: {user_input}")
+
+    # Conduct web search
+    results = conduct_web_search(user_input)
+    st.write(f"Search results: {results}")
+
+    # Extract data from web
+    data = extract_data_from_web(results)
+    st.write(f"Extracted data: {data}")
+
+    # Summarize output
+    summary = summarize_output(data)
+    st.write(f"Summarized output: {summary}")
+
+    # Provide output in voice
+    engine.say(summary)
+    engine.runAndWait()
+
+if __name__ == "__main__":
+    main()