Update app.py

app.py

@@ -1,11 +1,30 @@
 import gradio as gr
+from transformers import pipeline
+
+bloom_model_name = "CreitinGameplays/bloom-3b-conversational"
+
+# Create a pipeline for text generation
+generator = pipeline("text-generation", model=bloom_model_name, truncation=True)
 
 def conversation(prompt="", max_tokens=128):
-  # Integrate your Bloom 3b model here to generate response based on prompt and max_tokens
-  gr.load("models/CreitinGameplays/bloom-3b-conversational")
-  # Replace this with the actual call to your Bloom 3b model
-  response = "Bloom 3b is currently unavailable. Try again later!"
-  return response
+  """
+  Generates conversation response using Bloom with Hugging Face Transformers.
+
+  Args:
+      prompt (str, optional): Text prompt for Bloom. Defaults to "".
+      max_tokens (int, optional): Maximum number of tokens for response generation. Defaults to 128.
+
+  Returns:
+      str: Bloom's generated response to the prompt.
+  """
+  
+  try:
+    # Generate response using Bloom text-generation pipeline
+    response = generator(prompt, max_length=max_tokens, num_return_sequences=1)[0]["generated_text"]
+    return response.strip()  # Remove potential leading/trailing whitespace
+  except Exception as e:
+    print(f"Error during Bloom interaction: {e}")
+    return "Bloom is currently unavailable. Try again later!"
 
 interface = gr.Interface(
   fn=conversation,
@@ -19,3 +38,10 @@ interface = gr.Interface(
 )
 
 interface.launch()
+# This is a placeholder function, replace with your Bloom 3b interaction code
+def generate_response_from_bloom3b(prompt, max_tokens):
+  # Implement your Bloom 3b interaction logic here
+  # Use libraries like transformers to call Bloom 3b and process the response
+  # ...
+  # Return the generated response as a string
+  return "This is a placeholder response from generate_response_from_bloom3b"