Create app.py

app.py

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+import os
+from groq import Groq
+import streamlit as st
+
+# Set Groq API Key
+os.environ["GROQ_API_KEY"] = "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"
+# Ensure the API key is set in the environment
+api_key = os.getenv("GROQ_API_KEY")
+if not api_key:
+    raise ValueError("GROQ_API_KEY is not set in the environment.")
+client = Groq(api_key=api_key)
+
+# Function to generate response using Groq
+def chat_with_llm(user_message, model="llama3-8b-8192"):
+    try:
+        # Send message to Groq LLM
+        chat_completion = client.chat.completions.create(
+            messages=[
+                {"role": "user", "content": user_message},
+            ],
+            model=model,
+        )
+        # Return the LLM's response
+        return chat_completion.choices[0].message.content
+    except Exception as e:
+        return f"Error: {e}"
+
+# Streamlit App
+def main():
+    st.title("Real-Time Text-to-Text Chatbot")
+    #st.write("Powered by Groq and deployed on Streamlit.")
+
+    # Input text from the user
+    user_input = st.text_input("You:", "")
+
+    # Display bot's response
+    if st.button("Send"):
+        if user_input.strip():
+            with st.spinner("Thinking..."):
+                bot_response = chat_with_llm(user_input)
+            st.text_area("Bot:", bot_response, height=150)
+
+if __name__ == "__main__":
+    main()