revert changes back

app.py

@@ -1,8 +1,7 @@
-import streamlit as st
+import gradio as gr
 import os
 from groq import Groq  # Ensure Groq library supports this usage
 from dotenv import load_dotenv
-
 load_dotenv()
 
 os.getenv("GROQ_API_KEY")
@@ -11,26 +10,16 @@ def fetch_response(user_input):
     client = Groq(api_key=os.getenv("GROQ_API_KEY"))
     chat_completion = client.chat.completions.create(
         messages=[
-            {"role": "system", "content": "you are a helpful assistant. Take the input from the users and try to provide as detailed response as possible. Provide proper examples to help the user. Try to mention references or provide citations to make it more detail-oriented."},
+            {"role": "system", "content": "you are a helpful assistant. Take the input from the users and try to provide as detailed response as possible. Provide proper expamples to help the user. Try to mention references or provide citations to make it more detail oriented."},
             {"role": "user", "content": user_input},
         ],
         model="mixtral-8x7b-32768",
-        temperature=0.5,
-        max_tokens=1024,
-        top_p=1,
-        stop=None,
         stream=False
     )
     return chat_completion.choices[0].message.content
+    # for each in chat_completion:
+    #     yield (each.choices[0].delta.content) 
+    #     #end=""
 
-def main():
-    st.title("Fastest AI Chatbot By Klizos")
-    st.write("Ask a question and get a response.")
-
-    user_input = st.text_input("You:", "")
-    if user_input:
-        response = fetch_response(user_input)
-        st.text_area("Chatbot:", response, height=200)
-
-if __name__ == "__main__":
-    main()
+iface = gr.Interface(fn=fetch_response, inputs="text", outputs="text", title="Fastest AI Chatbot By Klizos", description="Ask a question and get a response.")
+iface.launch()