Delete app.py

app.py

@@ -1,43 +0,0 @@
-import gradio as gr
-from groq import Groq
-from transformers import TextStreamer
-
-# Initialize the Groq client with your API key
-client = Groq(
-    api_key=("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"),
-)
-
-# Define the function that will generate responses
-def generate_response(input_text):
-    chat_completion = client.chat.completions.create(
-        messages=[
-            {
-                "role": "user",
-                "content": input_text,
-            }
-        ],
-        model="llama3-8b-8192",
-    )
-    
-    # Set up TextStreamer for streaming the response
-    streamer = TextStreamer(client=client)
-
-    # Stream the assistant's response
-    response = ""
-    for chunk in chat_completion.choices[0].message.content:
-        response += chunk
-        streamer.write(response)  # Stream each chunk of text
-
-    return response
-
-# Create the Gradio interface
-iface = gr.Interface(
-    fn=generate_response,
-    inputs="text",
-    outputs="text",
-    title="Fast Language Model Chatbot with Streaming",
-    description="Ask any question and receive a response from the Groq API using the llama3-8b-8192 model, streamed in real-time.",
-)
-
-# Launch the interface
-iface.launch()