Create app.py

app.py

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+from huggingface_hub import InferenceClient
+import gradio as gr
+
+client = InferenceClient(
+    "google/gemma-7b-it"
+)
+
+def format_prompt(message, history):
+    prompt = ""
+    if history:
+        #<start_of_turn>userWhat is recession?<end_of_turn><start_of_turn>model
+        for user_prompt, bot_response in history:
+            prompt += f"<start_of_turn>user{user_prompt}<end_of_turn>"
+            prompt += f"<start_of_turn>model{bot_response}"
+    prompt += f"<start_of_turn>user{message}<end_of_turn><start_of_turn>model"
+    return prompt
+
+def generate(
+    prompt, history, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0,
+):
+    if not history:
+        history = []
+        hist_len=0
+    if history:
+        hist_len=len(history)
+        print(hist_len)
+
+    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(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
+
+
+additional_inputs=[
+    gr.Slider(
+        label="Temperature",
+        value=0.9,
+        minimum=0.0,
+        maximum=1.0,
+        step=0.05,
+        interactive=True,
+        info="Higher values produce more diverse outputs",
+    ),
+    gr.Slider(
+        label="Max new tokens",
+        value=512,
+        minimum=0,
+        maximum=1048,
+        step=64,
+        interactive=True,
+        info="The maximum numbers of new tokens",
+    ),
+    gr.Slider(
+        label="Top-p (nucleus sampling)",
+        value=0.90,
+        minimum=0.0,
+        maximum=1,
+        step=0.05,
+        interactive=True,
+        info="Higher values sample more low-probability tokens",
+    ),
+    gr.Slider(
+        label="Repetition penalty",
+        value=1.2,
+        minimum=1.0,
+        maximum=2.0,
+        step=0.05,
+        interactive=True,
+        info="Penalize repeated tokens",
+    )
+]
+
+# Create a Chatbot object with the desired height
+chatbot = gr.Chatbot(height=450,
+                     layout="bubble")
+
+with gr.Blocks() as demo:
+    gr.HTML("<h1><center>🤖 Google-Gemma-7B-Chat 💬<h1><center>")
+    gr.ChatInterface(
+        generate,
+        chatbot=chatbot,  # Use the created Chatbot object
+        additional_inputs=additional_inputs,
+        examples=[["What is the meaning of life?"], ["Tell me something about Mt Fuji."]],
+
+    )
+
+demo.queue().launch(debug=True)