Update app.py

app.py

@@ -1,12 +1,16 @@
 import os
+import random
 import gradio as gr
 from groq import Groq
 
-def generate_response(prompt, history, model, temperature, max_tokens, top_p):
+def generate_response(prompt, history, model, temperature, max_tokens, top_p, seed):
     client = Groq(
         api_key = os.environ.get("Groq_Api_Key")
     )
 
+    if seed == 0:
+        seed = random.randint(1, 100000)
+    
     stream = client.chat.completions.create(
         messages=[
             {"role": "system", "content": "you are a helpful assistant."},
@@ -16,6 +20,7 @@ def generate_response(prompt, history, model, temperature, max_tokens, top_p):
         temperature=temperature,
         max_tokens=max_tokens,
         top_p=top_p,
+        seed=seed
         stop=None,
         stream=True,
     )
@@ -23,17 +28,18 @@ def generate_response(prompt, history, model, temperature, max_tokens, top_p):
     response = ""
     for chunk in stream:
         delta_content = chunk.choices[0].delta.content
-        if delta_content is not None:
-            response += delta_content
+        response += delta_content
+        yield output
 
     return response
 
 # Define the Gradio chat interface
 additional_inputs = [
     gr.Dropdown(choices=["llama3-70b-8192", "llama3-8b-8192", "mixtral-8x7b-32768", "llama2-70b-4096", "gemma-7b-it"], value="llama3-70b-8192", label="LLM Model"),
-    gr.Slider(minimum=0.0, maximum=1.0, step=0.01, value=0.5, label="Temperature"),
-    gr.Slider(minimum=1, maximum=4096, step=1, value=4096, label="Max Tokens"),
-    gr.Slider(minimum=0.0, maximum=1.0, step=0.01, value=0.5, label="Top P"),
+    gr.Slider(minimum=0.0, maximum=1.0, step=0.01, value=0.5, label="Temperature", info="Controls randomness of responses"),
+    gr.Slider(minimum=1, maximum=4096, step=1, value=4096, label="Max Tokens", info="The maximum number of tokens that the model can process in a single response"),
+    gr.Slider(minimum=0.0, maximum=1.0, step=0.01, value=0.5, label="Top P", info="A method of text generation where a model will only consider the most probable next tokens that make up the probability p."),
+    gr.Number(precision=0, value=42, label="Seed", info="A starting point to initiate generation, use 0 for random")
 ]
 
 gr.ChatInterface(
@@ -41,5 +47,5 @@ gr.ChatInterface(
     chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
     additional_inputs=additional_inputs,
     title="Groq API LLMs AI Models",
-    description="Using https://groq.com/ api, ofc as its free it will have some limitations so its better if you duplicate this space with your own api key<br>Hugging Face Space by [Nick088](https://linktr.ee/Nick088)",
+    description="Using https://groq.com/ api, ofc as its free it will have some limitations of requests per minute, so its better if you duplicate this space with your own api key<br>Hugging Face Space by [Nick088](https://linktr.ee/Nick088)",
 ).launch()