Nishant51 commited on
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8e9202e
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1 Parent(s): 75bea83

Update app.py

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  1. app.py +22 -10
app.py CHANGED
@@ -1,18 +1,30 @@
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  import gradio as gr
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  from transformers import pipeline
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- #1.Load the AI Brain (We are using a free one called GPT-2)
 
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  print("Loading AI...")
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  generator = pipeline('text-generation', model='gpt2')
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- #2.Define the function (what happens when you ask it)
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  def ask_brain(question):
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- #This tells the AI to generate an answer
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- result = generator(question, max_length = 100, num_return_sequences=1)
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- answer = result[0]
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- ['generated_text']
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- #We return the answer to the user return answer
 
 
 
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- #3. Launch the App(This createes the API)
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- iface = gr.Interface(fn=ask_brain, inputs="text", output="text")
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- iface.launch()
 
 
 
 
 
 
 
 
 
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  import gradio as gr
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  from transformers import pipeline
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+ # 1. Load the AI Brain (GPT-2)
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+ # We do this OUTSIDE the function so it only loads once when the app starts
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  print("Loading AI...")
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  generator = pipeline('text-generation', model='gpt2')
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+ # 2. Define the function
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  def ask_brain(question):
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+ # Ask the AI to generate text
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+ result = generator(question, max_length=100, num_return_sequences=1)
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+
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+ # Extract the text properly
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+ answer = result[0]['generated_text']
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+
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+ # Return the answer to the user
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+ return answer
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+ # 3. Create the App Interface
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+ iface = gr.Interface(
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+ fn=ask_brain,
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+ inputs="text",
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+ outputs="text",
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+ title="My Free AI Model",
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+ description="Ask me anything!"
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+ )
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+
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+ # 4. Launch the App
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+ iface.launch()