Create app.py

app.py

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+from huggingface_hub import InferenceClient
+import gradio as gr
+
+client = InferenceClient(
+    "facebook/incoder-1B"
+)
+
+
+
+
+def format_prompt(message, history):
+  prompt = "<s>"
+  for user_prompt, bot_response in history:
+    prompt += f"[INST] {user_prompt} [/INST]"
+    prompt += f" {bot_response}</s> "
+  prompt += f"[INST] {message} [/INST]"
+  return prompt
+
+
+    
+def generate(
+    prompt, history, temperature=0.9, max_new_tokens=1024, top_p=0.95, repetition_penalty=1.0,
+):
+    temperature = float(temperature)
+    if temperature < 1e-2:
+        temperature = 1e-2
+    top_p = float(top_p)
+
+    generate_kwargs = dict(
+        temperature=temperature,
+        max_new_tokens=max_new_tokens,
+        top_p=top_p,
+        repetition_penalty=repetition_penalty,
+        do_sample=True,
+        seed=42,
+    )
+
+    formatted_prompt = format_prompt(f"{prompt}", history)
+    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
+    output = ""
+
+    for response in stream:
+        output += response.token.text
+        yield output
+    return output
+
+
+examples=[
+    ["Patient is feeling stressed due to work and has trouble sleeping.", None, None, None, None, None],
+    ["Client is dealing with relationship issues and is seeking advice on communication strategies.", None, None, None, None, None],
+    ["Individual has recently experienced a loss and is having difficulty coping with grief.", None, None, None, None, None],
+]
+
+gr.ChatInterface(
+    fn=generate,
+    chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
+    title="Psychological Assistant: Expert in Assessment and Strategic Planning",
+    description="Enter counseling notes to generate an assessment and plan.",
+    examples=examples,
+    concurrency_limit=20,
+).launch(show_api=False, debug=True)