Initial Space setup of broadfield-dev/my-ai-space3 via Builder

app.py

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+import gradio as gr
+from transformers import AutoModelForCTC, AutoTokenizer
+from huggingface_hub import inference_client
+from huggingface_hub.modelHub import ModelHubClient
+
+model_hub_client = ModelHubClient()
+inference_client = inference_client()
+
+def chatbot(input_text):
+    # Load models
+    model_name = "your-model-name"
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    model = AutoModelForCTC.from_pretrained(model_name)
+
+    # Generate output
+    inputs = tokenizer(input_text, return_tensors="pt")
+    outputs = model(**inputs)
+    output_text = outputs.logits.argmax(-1)
+
+    # Return output
+    return output_text
+
+demov2 = gr.Interface(
+    fn=chatbot, 
+    inputs="text", 
+    outputs="text", 
+    title="My Chatbot", 
+    description="A chatbot that uses Hugging Face models to respond to user input"
+)
+
+demov2.launch()

requirements.txt

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+transformers
+gradio
+huggingface-inference-client